HICP_and_ECB_Rates.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "responsible-steel",
   "metadata": {},
   "source": [
    "# Eurozone consumer prices inflation, ECB Deposit Facility, Market Yield on Government Bonds at 10-Year, wage inflation, and Riskless Yield Curve\n",
    "This notebook jaxteposes the evolution of Eurozone consumer prices inflation as measured by the HICP (Harmonized Index of Consumer Prices) with ECB Deposit Facility Rate and 10 year Government Bond yields. It then looks at the the relationship between riskfree rates (e.g. 10-year AAA-rated eurozone central government bonds rates) and Eurozone HICP + real GDP growth rates. HICP + GDP growth rates is known as _the intrinsic riskfree rate_. In theory the 10-year AAA-rated eurozone central government bond rate such as that for 10-Year Germany government bonds should be similar to the intrinsic riskfree rate. This notebook looks at how this played out since the 90's.\n",
    "\n",
    "I then look at Euroarea wage inflation data.\n",
    "\n",
    "Finally, I look at the evolution of the Euro riskless rate curve as defined by the yields on AAA-rated eurozone central government bonds.\n",
    "\n",
    "**NB**: Throughout this notebook in datasets with a quarterly frequency, data indexed to the start of a quarter designates the whole quarter starting on that date."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "casual-border",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncomment if running in Google Colaboratory, otherwise the import of the curves module in the cell below will fail\n",
    "#!git clone -l -s https://github.com/ilchen/US_Economic_Data_Analysis.git cloned-repo\n",
    "#%cd cloned-repo\n",
    "\n",
    "# Install the latest version of eurostat\n",
    "# !pip install eurostat -U"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "blank-cassette",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.ticker as mtick\n",
    "import pandas_datareader.data as web\n",
    "from pandas.tseries.offsets import MonthBegin, BDay, QuarterBegin\n",
    "\n",
    "import eurostat\n",
    "\n",
    "from datetime import date\n",
    "\n",
    "from dateutil.relativedelta import relativedelta\n",
    "\n",
    "from pricing import curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "former-nitrogen",
   "metadata": {},
   "outputs": [],
   "source": [
    "report_start = date.fromisoformat('1996-01-01')\n",
    "report_end = date.today()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "advanced-width",
   "metadata": {},
   "source": [
    "### Get Consumer Price Index for the Eurozone, ECB Deposit Facility Rate, 10 Year Government Bond Yields, and Real GDP\n",
    "I use the following dataseries provided by [FRED](https://fred.stlouisfed.org/):\n",
    "* `ECBDFR` &mdash; ECB Deposit Facility Rate for Euro Area (daily frequency, from 1999)\n",
    "* `ECBMLFR` &mdash; ECB Marginal Lending Facility Rate for Euro Area (daily frequency, from 1999). This is the rate at which banks can borrow money from the central bank against collateral for a period of one day (overnight). This rate is always higher than the main refinancing rate and therefore sets an upper limit for money market rates.\n",
    "\n",
    "And the following dataseries provided by the [Eurostat](https://ec.europa.eu/eurostat/web/main/data/database):\n",
    "* `irt_lt_mcby_m` &mdash; EMU convergence criterion series (monthly frequency). This series returns a dataset containing Long-Term Government Bond Yields for the Eurozone at 10-year maturity. I use it instead of the `IRLTLT01DEM156N` and `IRLTLT01ITM156N` datasets returned by FRED given that Eurostat's database tends to be updated earlier than that of FRED for Eurozone data.\n",
    "* `prc_hicp_midx` &mdash; Harmonized Index of Consumer Prices: All Items for the Eurozone (monthly frequency, 2015=100, from 1996)\n",
    "\n",
    "There's a relationship between the riskless rate as represented by AAA-rated eurozone central government bonds rates on the one hand and real GDP growth and inflation rates on the other hand. I use 10-year Germany Bond Yields as proxy for riskless long-term rates in the Eurozone given Germany's AAA credit rating. At the end of this section I look at real GDP developments in conjunction with the inflation of consumer prices. To calculate GDP growth for the Euro area I make use of the following dataseries from [Eurostat](https://ec.europa.eu/eurostat/databrowser/view/NAMQ_10_GDP/default/table?lang=en):\n",
    "* `namq_10_gdp` — Real Gross Domestic Product for the Eurozone, Millions of Chained 2010 Euros (quarterly frequency, from 1996). The closest series published by the FRED is `CLVMEURSCAB1GQEA19`, however it is still based on the old configuration of the Eurozone (EA19) so I don't use it. I make use of both non seasonally adjusted as well as seasonally and calendar adjusted data. This is needed because I want to obtain both annual GDP growth (i.e. growth over four quarters) as well as quarterly GDP growth and express the latter at an annual rate. I use the following formula to translate quarterly changes into annual rates:\n",
    "\n",
    "$$\\left(\\left({\\text{level of quarter n+1} \\over \\text{level of quarter n}}\\right)^4-1\\right)\\times 100\\% $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "voluntary-maker",
   "metadata": {},
   "outputs": [],
   "source": [
    "ecbr = web.get_data_fred(['ECBDFR', 'ECBMLFR'], start=report_start, end=report_end)\n",
    "\n",
    "# Retrieving the most recent Eurozone CPI and government bond yields from Eurostat's database\n",
    "EUROSTAT_DE_COUNTRY_LABEL = 'DE'\n",
    "EUROSTAT_IT_COUNTRY_LABEL = 'IT'\n",
    "eu_irt_lt = eurostat.get_data_df('irt_lt_mcby_m',\n",
    "        filter_pars={'startPeriod': report_start, 'geo': ['DE', 'IT']}).iloc[:, 2:]\n",
    "eu_irt_lt = eu_irt_lt.set_index(eu_irt_lt.columns[0]).T\n",
    "eu_irt_lt = eu_irt_lt.set_axis(pd.DatetimeIndex(eu_irt_lt.index, 'MS')).astype(ecbr.dtypes.iloc[0])\n",
    "\n",
    "# Using Eurozone price index 2015=100, and All-items HICP: CP00 \n",
    "eu_hicp = eurostat.get_data_df('prc_hicp_midx',\n",
    "               filter_pars={'startPeriod': report_start, 'unit': 'I15', 'coicop': 'CP00', 'geo': 'EA'}).iloc[:, 3:]\n",
    "eu_hicp = eu_hicp.set_index(eu_hicp.columns[0]).T\n",
    "eu_hicp = eu_hicp.set_axis(pd.DatetimeIndex(eu_hicp.index, 'MS'))\n",
    "# Since prc_hicp_midx is indexed to 2015=100, we need to convert it to annual percentage changes\n",
    "eu_hicp_annual = eu_hicp.pct_change(12)\n",
    "\n",
    "# Make frequencies explicit, resample to month srart\n",
    "ecbr = ecbr.asfreq('D').resample('MS').last()\n",
    "\n",
    "# Merge and truncate to start of celendar year 1999.\n",
    "cpi_ecbr_irtlt = pd.concat([eu_hicp_annual, eu_irt_lt, ecbr], axis=1).loc['1997':]\n",
    "\n",
    "cpi_ecbr_irtlt = cpi_ecbr_irtlt[['EA', 'ECBDFR', 'ECBMLFR', 'DE', 'IT']]\n",
    "\n",
    "DE_YIELD_LABEL = '10y German Government Bond Yield'\n",
    "IT_YIELD_LABEL = '10y Italian Government Bond Yield'\n",
    "ECB_DEPOSIT_RATE_LABEL = 'ECB Deposit Facility Rate'\n",
    "GRAPH_TITLE_HICP = 'Eurozone annual HICP, ECB Deposit Facility and Marginal Lending Rates, and 10y Government Bond Yields'\n",
    "GRAPH_TITLE_HICP_2 = 'Eurozone annual HICP, ECB Deposit Facility, and 10y Government Bond Yields'\n",
    "cpi_ecbr_irtlt.rename(\n",
    "    columns={'EA': 'Annual Eurozone HICP',\n",
    "             'ECBDFR': ECB_DEPOSIT_RATE_LABEL, 'ECBMLFR': 'ECB Marginal Lending Facility Rate',\n",
    "             EUROSTAT_DE_COUNTRY_LABEL: DE_YIELD_LABEL,\n",
    "             EUROSTAT_IT_COUNTRY_LABEL: IT_YIELD_LABEL},\n",
    "    inplace=True)\n",
    "\n",
    "# Querying for non seasonally adjusted, seasonally and calendar adjusted all-items Eurozone GDP data\n",
    "# in chained linked volumes of 2010\n",
    "real_gdp = eurostat.get_data_df('namq_10_gdp', filter_pars={\n",
    "    'startPeriod': report_start, 'unit': 'CLV10_MEUR', 's_adj': ['NSA', 'SCA'], 'na_item': 'B1GQ', 'geo': 'EA'}).iloc[:, 4:]\n",
    "real_gdp = real_gdp.set_index(real_gdp.columns[0]).T\n",
    "real_gdp = real_gdp.set_axis(pd.DatetimeIndex(real_gdp.index, 'QS'))\n",
    "\n",
    "# Seasonally adjusted data is in the second column, it is more suitable for extrapolating GDP quarterly growth\n",
    "# at an annual rate\n",
    "real_gdp_quarterly = ((real_gdp.iloc[:,1]/real_gdp.iloc[:,1].shift(1)).pow(4)-1)\n",
    "real_gdp = real_gdp.iloc[:,:1]\n",
    "real_gdp.rename(columns={'EA': 'Real GDP'}, inplace=True)\n",
    "\n",
    "# To calculate the annual rate of GDP growth I sum up the non-seasonally adjusted GDP over the last 4 quarters.\n",
    "# If Eurostat were publishing seasonally adjusted GDP data at annual volumes (as is the case in the US),\n",
    "# I could calculate the mean over the past 4 quarters and use it as the actual annual GDP. \n",
    "real_gdp = real_gdp.rolling(4).sum().pct_change(4, fill_method=None)\n",
    "real_gdp['Real GDP over quarter at annual rate'] = real_gdp_quarterly\n",
    "real_gdp = real_gdp.loc['1997':]\n",
    "real_gdp.columns.names = [None]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "smooth-forestry",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the mean rate for the current month and, if needed, for the one before too\n",
    "rmth_start = cpi_ecbr_irtlt.index[-2 if pd.isna(cpi_ecbr_irtlt.iloc[-2, -1]) else -1].date()\n",
    "\n",
    "eu_irt_lt_cur_mth = eurostat.get_data_df('irt_lt_mcby_d',\n",
    "        filter_pars={'startPeriod': rmth_start, 'geo': ['DE', 'IT']}).iloc[:, 2:]\n",
    "eu_irt_lt_cur_mth = eu_irt_lt_cur_mth.set_index(eu_irt_lt_cur_mth.columns[0]).T\n",
    "eu_irt_lt_cur_mth = eu_irt_lt_cur_mth.set_axis(pd.DatetimeIndex(eu_irt_lt_cur_mth.index, 'B')).astype(ecbr.dtypes.iloc[0])\n",
    "eu_irt_lt_cur_mth.rename(\n",
    "    columns={EUROSTAT_DE_COUNTRY_LABEL: DE_YIELD_LABEL,\n",
    "             EUROSTAT_IT_COUNTRY_LABEL: IT_YIELD_LABEL},\n",
    "    inplace=True)\n",
    "eu_irt_lt_cur_mth = eu_irt_lt_cur_mth.asfreq('D').resample('MS').mean()\n",
    "cpi_ecbr_irtlt.loc['2022':, [DE_YIELD_LABEL, IT_YIELD_LABEL]].update(eu_irt_lt_cur_mth)\n",
    "cpi_ecbr_irtlt.update(eu_irt_lt_cur_mth)\n",
    "\n",
    "# Convert to percentage points\n",
    "cpi_ecbr_irtlt.iloc[:,[1,2,3,4]] /= 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "blond-shaft",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Annual Eurozone HICP</th>\n",
       "      <th>ECB Deposit Facility Rate</th>\n",
       "      <th>ECB Marginal Lending Facility Rate</th>\n",
       "      <th>10y German Government Bond Yield</th>\n",
       "      <th>10y Italian Government Bond Yield</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1999-01-01</th>\n",
       "      <td>0.7650%</td>\n",
       "      <td>2.0000%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>3.7000%</td>\n",
       "      <td>3.9200%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-02-01</th>\n",
       "      <td>0.7357%</td>\n",
       "      <td>2.0000%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>3.8500%</td>\n",
       "      <td>4.0500%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-03-01</th>\n",
       "      <td>0.9393%</td>\n",
       "      <td>2.0000%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>4.0400%</td>\n",
       "      <td>4.2700%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-04-01</th>\n",
       "      <td>1.0732%</td>\n",
       "      <td>1.5000%</td>\n",
       "      <td>3.5000%</td>\n",
       "      <td>3.8500%</td>\n",
       "      <td>4.1100%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-05-01</th>\n",
       "      <td>0.9355%</td>\n",
       "      <td>1.5000%</td>\n",
       "      <td>3.5000%</td>\n",
       "      <td>4.0100%</td>\n",
       "      <td>4.2800%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-01</th>\n",
       "      <td>1.7440%</td>\n",
       "      <td>3.5000%</td>\n",
       "      <td>3.9000%</td>\n",
       "      <td>2.1700%</td>\n",
       "      <td>3.5700%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-01</th>\n",
       "      <td>1.9994%</td>\n",
       "      <td>3.2500%</td>\n",
       "      <td>3.6500%</td>\n",
       "      <td>2.2300%</td>\n",
       "      <td>3.5000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-11-01</th>\n",
       "      <td>2.2366%</td>\n",
       "      <td>3.2500%</td>\n",
       "      <td>3.6500%</td>\n",
       "      <td>2.3050%</td>\n",
       "      <td>3.5690%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-12-01</th>\n",
       "      <td>2.4426%</td>\n",
       "      <td>3.0000%</td>\n",
       "      <td>3.4000%</td>\n",
       "      <td>2.1789%</td>\n",
       "      <td>3.3312%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-01-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0000%</td>\n",
       "      <td>3.4000%</td>\n",
       "      <td>2.4060%</td>\n",
       "      <td>3.5760%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>313 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Annual Eurozone HICP  ECB Deposit Facility Rate  \\\n",
       "1999-01-01               0.7650%                    2.0000%   \n",
       "1999-02-01               0.7357%                    2.0000%   \n",
       "1999-03-01               0.9393%                    2.0000%   \n",
       "1999-04-01               1.0732%                    1.5000%   \n",
       "1999-05-01               0.9355%                    1.5000%   \n",
       "...                          ...                        ...   \n",
       "2024-09-01               1.7440%                    3.5000%   \n",
       "2024-10-01               1.9994%                    3.2500%   \n",
       "2024-11-01               2.2366%                    3.2500%   \n",
       "2024-12-01               2.4426%                    3.0000%   \n",
       "2025-01-01                   NaN                    3.0000%   \n",
       "\n",
       "            ECB Marginal Lending Facility Rate  \\\n",
       "1999-01-01                             4.5000%   \n",
       "1999-02-01                             4.5000%   \n",
       "1999-03-01                             4.5000%   \n",
       "1999-04-01                             3.5000%   \n",
       "1999-05-01                             3.5000%   \n",
       "...                                        ...   \n",
       "2024-09-01                             3.9000%   \n",
       "2024-10-01                             3.6500%   \n",
       "2024-11-01                             3.6500%   \n",
       "2024-12-01                             3.4000%   \n",
       "2025-01-01                             3.4000%   \n",
       "\n",
       "            10y German Government Bond Yield  \\\n",
       "1999-01-01                           3.7000%   \n",
       "1999-02-01                           3.8500%   \n",
       "1999-03-01                           4.0400%   \n",
       "1999-04-01                           3.8500%   \n",
       "1999-05-01                           4.0100%   \n",
       "...                                      ...   \n",
       "2024-09-01                           2.1700%   \n",
       "2024-10-01                           2.2300%   \n",
       "2024-11-01                           2.3050%   \n",
       "2024-12-01                           2.1789%   \n",
       "2025-01-01                           2.4060%   \n",
       "\n",
       "            10y Italian Government Bond Yield  \n",
       "1999-01-01                            3.9200%  \n",
       "1999-02-01                            4.0500%  \n",
       "1999-03-01                            4.2700%  \n",
       "1999-04-01                            4.1100%  \n",
       "1999-05-01                            4.2800%  \n",
       "...                                       ...  \n",
       "2024-09-01                            3.5700%  \n",
       "2024-10-01                            3.5000%  \n",
       "2024-11-01                            3.5690%  \n",
       "2024-12-01                            3.3312%  \n",
       "2025-01-01                            3.5760%  \n",
       "\n",
       "[313 rows x 5 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "cpi_ecbr_irtlt.dropna(subset=[ECB_DEPOSIT_RATE_LABEL, DE_YIELD_LABEL, IT_YIELD_LABEL])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "affecting-national",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kY8OGDVbHnzx50pBkzJ4927KtQ4cOhiTjvffes2q7fPlyQ5IxfPhwq+3Nmzc3TCaTcezYsSRjPHr0qOHh4WG89NJLRmxsrGEYhjFp0iRDkrFgwQJLu+joaKNy5cqGq6urcfPmTav4vL29jatXr1rarlixwpBk/PDDD5ZttWvXNooXL25ERUVZtsXHxxtVqlQxgoODH3QZDcMwjMjISKvX0dHRRrFixYxatWpZbZdk2NvbW4133759hiRj6tSplm1DhgwxJBlvvPGG1fFNmzY1vL29La+Tugf3nmvIkCHJxmgYhrF9+3ZDkjFv3jzLtuTu9/0e9PyYf4oWLWp1TJ48eYwGDRpYjUeSce3atQeey8x8XQ4fPmxcunTJOHnypPHZZ58ZDg4Ohp+fnxEREZGifu5VvXr1ZOPv1q2bYRiGcePGDUOS0bhx4xT3mydPniT7rFq1qnH58uWHHm++D0uWLEm2TcmSJY2sWbNaXnfq1MkICAhI1H/r1q0NDw8PyzNg7jtHjhyW94thGMY333xjSDImT55sGEbCc5wtWzajWLFixu3bty3tVq5caUgyBg8ebBiGYVy7ds2QZIwdO/aBY6pevbpRvXp1y+tdu3Yl+/wm5UHPnGGk/BkfPHiwIcn49ttvE7WPj483DCPp95b5+btXnjx5jA4dOlheL1myJMn3T1xcnJEzZ06jVatWVtsnTJhgmEwm48SJEym6BveKiooy4uLirLadPHnScHBwMIYNG2bZZr7fhQsXNu7cuWPZPnnyZEOSsX//fsMw/rvfpUqVsmo3c+ZMQ5LVvUuJBg0aGHny5El2X758+RJtj4iIsPod8jjXzfxZP2nSJKvt8fHxxqVLl6x+YmJiDMMwjIsXLxr29vbGyy+/bHVtp02bZkgyvvzyS0sfOXLkMJo1a2bVt/k9tHnzZsMwDOPWrVuGp6en0aVLF6t2Fy5cMDw8PKy2J/f70zBS/7uja9eulm2xsbFGzpw5DZPJZIwaNcqy/dq1a4aTk5PV8zt//nzDxsbG+PXXX63OP2PGDEOSsXXr1lTHNHbsWEOScfLkyUTjSor5Otz/kyNHDmP37t1Wbfv27WtIsor31q1bRt68eY3AwEDLPXza74FTp04ZLi4uhpeXl2FnZ2fp38z8WWa+Jql5Tu7/HNq7d68hyejZs6fVsa+99lqi/w7w8PAwevXqlaIxAACA9MUUagAAwOKTTz7RL7/8YvWzatWqx+qzR48eVq9/+ukn2draqk+fPlbb33nnHRmGkeT5IiIi1LRpU2XNmlVfffWV5a+Zf/rpJ/n7+6tNmzaWtnZ2durTp4/Cw8O1adMmq35atWqlrFmzWl6b/9L/xIkTkhKmIVq/fr1atmypW7du6fLly7p8+bKuXLmiunXr6ujRo4mmi7qfuVpBkq5du6YbN26oWrVqSU5LUqdOHeXPn9/yukSJEnJ3d7fEc6/u3btbva5WrZquXLmimzdvPjCeh8UYExOjK1euKCgoSJ6eno81fUpSz88vv/yiEiVKPPRY8zjc3NxSdc6CBQvK19dXefPmVbdu3RQUFKQff/zxkauIAgMDkxyDuWLlUeOsWLGipa+VK1dqxIgR+uuvv/Tqq6/q9u3bjxTrvVxdXXXr1i1JkmEYWrZsmRo1aiTDMCzP8eXLl1W3bl3duHEj0X1u37691ZiaN2+ugIAA/fTTT5Kk33//XRcvXlTPnj2t1oNp0KCBChUqZJmmyMnJSfb29tq4caOuXbv22ON6mKSeOXMcZg96xpctW6aSJUsmWVlnXrMirdnY2Kht27b6/vvvLfdMkhYuXKgqVao8UkWWg4ODbGwS/q9dXFycrly5IldXVxUsWDDJ93THjh2tphG7/7PQfL+7d+9u1S4kJEQeHh6pju9Bbt++neT6QebnzPz+eJzrZn7f3l99c+PGDfn6+lr97N27V5K0du1aRUdHq2/fvpZrK0ldunSRu7u75Zk3mUxq0aKFfvrpJ4WHh1vaLV68WDly5NALL7wgSfrll190/fp1tWnTxuo9aWtrq4oVK2rDhg2J4r7/96dZan53dO7c2fJvW1tblStXToZhqFOnTpbtnp6eKliwoNXxS5YsUeHChVWoUCGreM3TVN4fb2piSg1HR0fLe3vNmjX67LPP5Orqqvr16+vIkSOWdj/99JMqVKhgud5Swv3u2rWrTp06pb///tuq36f1HsiTJ4+GDBmiq1ev6u2331axYsUe2P5RnpN7r4GkRP99dX/FpZRwz3fs2KFz586leCwAACB9MIUaAACwqFChQpouCJ4lSxblzJnTatvp06eVPXv2RF+Am6fPOX36dKJ+unTpouPHj2vbtm1W08OcPn1awcHBVl+uPaiv3LlzW702J3PMXzQfO3ZMhmHoww8/1IcffpjkmC5evKgcOXIkPWBJK1eu1PDhw7V3716rdQKS+jL4/njMMSX1xfeDYnd3d082nqTcvn1bI0eO1OzZs3X27FmrtYdu3LiRqr7uldzzkzVr1iSnJbuXeQy3bt2yTMWVEsuWLZO7u7vs7OyUM2dOqy8QH4WLi0uiqfuSizM1fHx8rPpt0KCBChYsqObNm+uLL77Qm2+++WgB3xUeHm55T126dEnXr1/XzJkzNXPmzCTbX7x40ep1cHCw1WuTyaSgoCDLugzm91JS64wUKlRIW7ZskZSQSBg9erTeeecd+fn5WRYbb9++vWXdirSU3DOX0mf8+PHjSa659KS1b99eo0eP1nfffaf27dvr8OHD2r17t2bMmPFI/cXHx2vy5MmaPn26Tp48abXmSlLTCT7ss9B8v+9/Luzs7JQvX75HijE5Tk5OidZUkRKmGjTvN3vU62Z+b9ybYJESvuA3J/1+/vlnjR071rIvuWfe3t5e+fLls/r90qpVK02aNEnff/+9XnvtNYWHh+unn36yTNcpSUePHpX03zpd97v/czyp359mj/O7w8PDQ46OjommB/Tw8NCVK1csr48ePaqDBw8mO8XZ/Z8hqYkpNWxtbRN9JtevX1/BwcEaOHCgli1bJinhflWsWDHR8ff+98C9yZOn+R4wr/GVkv++Su1zcq/Tp0/LxsYm0e/BpD63x4wZow4dOihXrlwqW7as6tevr/bt26f5+xsAADw+EjgAACDFkvuL9Hu/LLzXvX8V/qgmT56sr776SgsWLFCpUqUeqy9z5c79zF/uxsfHS5L69eununXrJtk2KCgo2f5//fVXvfrqq3rxxRc1ffp0BQQEyM7OTrNnz9aiRYtSHU9q2qbm3rz55puaPXu2+vbtq8qVK8vDw0Mmk0mtW7e2XIOnrVChQpKk/fv3W/4SOiVefPHFR16n5FG4u7sre/bsOnDgwGP3Vbt2bUnS5s2bHyuBExMToyNHjli+nDTfw9dff10dOnRI8piUVEU9qr59+6pRo0Zavny51qxZow8//FAjR47U+vXrVbp06Sd23ns9i8/4vYoUKaKyZctqwYIFat++vRYsWCB7e3u1bNnykfr7+OOP9eGHH+qNN97QRx99JC8vL9nY2Khv375Jjjc1nz1PWkBAgDZs2CDDMKw+x86fPy9JVuv3POp1M3++3P++zZIliyU5kNRC7ylVqVIlBQYG6ptvvtFrr72mH374Qbdv31arVq0sbcz3Yf78+UkmM7Nksf6/5g/6/fm4vztScnx8fLyKFy+uCRMmJNn2/jVgnuYzlTNnThUsWFCbN29+5D6epffAvVL7nDyqli1bqlq1avruu+8sycvRo0fr22+/1SuvvJIm5wAAAGmDBA4AAEgx81+oXr9+3Wp7UlUzycmTJ4/Wrl2rW7duWVXhHDp0yLLf7Ndff1W/fv3Ut29ftW3bNsm+/vzzT8XHx1t90ZVUXylh/stTOzu7B1ZhJGfZsmVydHTUmjVrrKYEmj17dqr7Sq3U3JulS5eqQ4cOGj9+vGVbVFRUomOfpkaNGmnkyJFasGBBqhI46aFhw4aaOXOmtm/frsqVKz9yP7GxsZISVwWk1tKlS3X79m1L0tHX11dubm6Ki4tL8XNs/qtvM8MwdOzYMUuix/xeOnz4cKK/DD98+HCi91r+/Pn1zjvv6J133tHRo0dVqlQpjR8/XgsWLEjy/Gk9XVlKn/H8+fOnSTIuKQ8bU/v27fX222/r/PnzWrRokRo0aGA1xWNqLF26VDVr1tSsWbOstl+/fv2REpzm+3n06FGr+x0TE6OTJ0+qZMmSjxRnUkqVKqUvvvhCBw8eVJEiRSzbzYvJ35+4f5TrVrBgQQUHB2v58uWaNGmSXFxcHhrXvc/8vVUJ0dHROnnyZKL3VsuWLTV58mTdvHlTixcvVmBgoCpVqmTZb66KyJYt2yP9fnna8ufPr3379ql27dpp9v5My/d5bGys1Wdnnjx5dPjw4UTtHvW/B57me+Bej/Oc5MmTR/Hx8Tp+/LhV1U1S10VKSJ727NlTPXv21MWLF1WmTBmNGDGCBA4AAM8Y1sABAAAplidPHtna2ib6q9fp06enuI/69esrLi5O06ZNs9o+ceJEmUwmyxcH58+fV8uWLfXCCy9YTWtzf18XLlzQ4sWLLdtiY2M1depUubq6qnr16imOS0r4wqRGjRr67LPPLH/9fa9Lly498HhbW1uZTCarqpdTp05p+fLlqYrjUbi7u8vHxydF98bW1jbRXxlPnTo12Uqqp6Fy5cqqV6+evvjiiySvV3R0tPr16/f0A0vCgAED5OLios6dOyssLCzR/uPHj2vy5MkP7eeHH36QpMf6InDfvn3q27evsmbNql69eklKuL/NmjXTsmXLkkxOJPUcz5s3z2pauKVLl+r8+fOW92O5cuWULVs2zZgxw2q6q1WrVungwYNq0KCBJCkyMtIy9ZVZ/vz55ebmluQ0WWbmL9TTKomY0me8WbNm2rdvn7777rtEfTzuX+I/bExt2rSRyWTS//3f/+nEiRN6/fXXH/lcSY13yZIlD12zKznlypWTr6+vZsyYoejoaMv2OXPmpHmit3H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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = cpi_ecbr_irtlt.iloc[:,:2].plot(figsize=(20,10), grid=True,\n",
    "                        title=GRAPH_TITLE_HICP_2,\n",
    "                        xticks=cpi_ecbr_irtlt.index[::12], xlabel='', rot=45, yticks=np.arange(0, .13, .02))\n",
    "cpi_ecbr_irtlt.iloc[:,3:].plot(ax=ax, linestyle='--', grid=True,\n",
    "                        xticks=cpi_ecbr_irtlt.index[::12], xlabel='', rot=45, yticks=np.arange(0, .13, .02))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, cpi_ecbr_irtlt.index[::12])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "direct-system",
   "metadata": {},
   "source": [
    "#### Eurozone HICP  based on monthly and quarterly changes\n",
    "In the previous part of this notebook I looked at HICP based on changes compared to 12 months ago. This is the standard way of determining annual percentage cahnges. Below I look at monthly changes in HICP and then translate them into annual percentage changes using the following simple formula for translating monthly HICP changes into annual percentage changes:\n",
    "\n",
    "$$\\left(\\left({\\text{level of month n+1} \\over \\text{level of month n}}\\right)^{12}-1\\right)\\times 100\\% $$\n",
    "\n",
    "And then the same for translating quarterly changes into annual rates:\n",
    "\n",
    "$$\\left(\\left({\\text{level of month n+1} \\over \\text{level of month n-2}}\\right)^4-1\\right)\\times 100\\% $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "hazardous-tablet",
   "metadata": {},
   "outputs": [],
   "source": [
    "from_date = date(2020, 1, 1)\n",
    "eu_hicp_monthly = eu_hicp.pct_change().loc[from_date:, 'EA']\n",
    "eu_hicp_monthly.rename('Eurozone HICP Change over Prev Month', inplace=True)\n",
    "eu_hicp_annual = ((eu_hicp/eu_hicp.shift(1)).pow(12)-1).loc[from_date:, 'EA'].rename('Eurozone HICP Change over Prev Month at Annual Rate')\n",
    "eu_hicp_quarterly = ((eu_hicp/eu_hicp.shift(3)).pow(4)-1).loc[from_date:, 'EA'].rename('Eurozone HICP Change over Prev 3 Months at Annual Rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "refined-interface",
   "metadata": {},
   "outputs": [],
   "source": [
    "eu_hicp_df = pd.concat([cpi_ecbr_irtlt.loc[from_date:, cpi_ecbr_irtlt.columns[0]], eu_hicp_quarterly, eu_hicp_annual], axis=1).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "nutritional-slide",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Annual Eurozone HICP</th>\n",
       "      <th>Eurozone HICP Change over Prev 3 Months at Annual Rate</th>\n",
       "      <th>Eurozone HICP Change over Prev Month at Annual Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-01-01</th>\n",
       "      <td>2.7688%</td>\n",
       "      <td>-2.9851%</td>\n",
       "      <td>-4.2673%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-01</th>\n",
       "      <td>2.5817%</td>\n",
       "      <td>1.6901%</td>\n",
       "      <td>7.7373%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-01</th>\n",
       "      <td>2.4277%</td>\n",
       "      <td>4.1252%</td>\n",
       "      <td>9.4564%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-01</th>\n",
       "      <td>2.3717%</td>\n",
       "      <td>8.1334%</td>\n",
       "      <td>7.2191%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-01</th>\n",
       "      <td>2.5660%</td>\n",
       "      <td>6.3870%</td>\n",
       "      <td>2.6011%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-01</th>\n",
       "      <td>2.5188%</td>\n",
       "      <td>4.1160%</td>\n",
       "      <td>2.5955%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>2.5778%</td>\n",
       "      <td>1.5963%</td>\n",
       "      <td>-0.3785%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-01</th>\n",
       "      <td>2.1688%</td>\n",
       "      <td>1.3047%</td>\n",
       "      <td>1.7204%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-01</th>\n",
       "      <td>1.7440%</td>\n",
       "      <td>0.0632%</td>\n",
       "      <td>-1.1305%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-01</th>\n",
       "      <td>1.9994%</td>\n",
       "      <td>1.5579%</td>\n",
       "      <td>4.1528%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-11-01</th>\n",
       "      <td>2.2366%</td>\n",
       "      <td>-0.3153%</td>\n",
       "      <td>-3.8051%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-12-01</th>\n",
       "      <td>2.4426%</td>\n",
       "      <td>1.5252%</td>\n",
       "      <td>4.4477%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Annual Eurozone HICP  \\\n",
       "2024-01-01               2.7688%   \n",
       "2024-02-01               2.5817%   \n",
       "2024-03-01               2.4277%   \n",
       "2024-04-01               2.3717%   \n",
       "2024-05-01               2.5660%   \n",
       "2024-06-01               2.5188%   \n",
       "2024-07-01               2.5778%   \n",
       "2024-08-01               2.1688%   \n",
       "2024-09-01               1.7440%   \n",
       "2024-10-01               1.9994%   \n",
       "2024-11-01               2.2366%   \n",
       "2024-12-01               2.4426%   \n",
       "\n",
       "            Eurozone HICP Change over Prev 3 Months at Annual Rate  \\\n",
       "2024-01-01                                           -2.9851%        \n",
       "2024-02-01                                            1.6901%        \n",
       "2024-03-01                                            4.1252%        \n",
       "2024-04-01                                            8.1334%        \n",
       "2024-05-01                                            6.3870%        \n",
       "2024-06-01                                            4.1160%        \n",
       "2024-07-01                                            1.5963%        \n",
       "2024-08-01                                            1.3047%        \n",
       "2024-09-01                                            0.0632%        \n",
       "2024-10-01                                            1.5579%        \n",
       "2024-11-01                                           -0.3153%        \n",
       "2024-12-01                                            1.5252%        \n",
       "\n",
       "            Eurozone HICP Change over Prev Month at Annual Rate  \n",
       "2024-01-01                                           -4.2673%    \n",
       "2024-02-01                                            7.7373%    \n",
       "2024-03-01                                            9.4564%    \n",
       "2024-04-01                                            7.2191%    \n",
       "2024-05-01                                            2.6011%    \n",
       "2024-06-01                                            2.5955%    \n",
       "2024-07-01                                           -0.3785%    \n",
       "2024-08-01                                            1.7204%    \n",
       "2024-09-01                                           -1.1305%    \n",
       "2024-10-01                                            4.1528%    \n",
       "2024-11-01                                           -3.8051%    \n",
       "2024-12-01                                            4.4477%    "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eu_hicp_df.tail(12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "impressed-greene",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "cm = sns.color_palette('Blues', as_cmap=True)\n",
    "IDX_FORMAT = '{:%Y-%m}'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "requested-resort",
   "metadata": {},
   "outputs": [
    {
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       "  width: 200px;\n",
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       "  background-color: #abd0e6;\n",
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       "  background-color: #d8e7f5;\n",
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       "#T_69a45_row6_col1, #T_69a45_row14_col0 {\n",
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       "#T_69a45_row7_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #c9ddf0;\n",
       "  color: #000000;\n",
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       "#T_69a45_row7_col1 {\n",
       "  width: 200px;\n",
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       "  width: 200px;\n",
       "  background-color: #0e59a2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_69a45_row12_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #8fc2de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_69a45_row13_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #dfecf7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_69a45_row13_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #9ac8e0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_69a45_row14_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #bed8ec;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_69a45_row15_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #e9f2fa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_69a45_row15_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #91c3de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_69a45_row16_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #dce9f6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_69a45_row16_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #c8dcf0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_69a45_row17_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #d0e2f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_69a45_row17_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #92c4de;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_69a45\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_69a45_level0_col0\" class=\"col_heading level0 col0\" >Annual Eurozone HICP</th>\n",
       "      <th id=\"T_69a45_level0_col1\" class=\"col_heading level0 col1\" >Eurozone HICP Change over Prev 3 Months at Annual Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row0\" class=\"row_heading level0 row0\" >2023-07</th>\n",
       "      <td id=\"T_69a45_row0_col0\" class=\"data row0 col0\" >5.31%</td>\n",
       "      <td id=\"T_69a45_row0_col1\" class=\"data row0 col1\" >0.78%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row1\" class=\"row_heading level0 row1\" >2023-08</th>\n",
       "      <td id=\"T_69a45_row1_col0\" class=\"data row1 col0\" >5.24%</td>\n",
       "      <td id=\"T_69a45_row1_col1\" class=\"data row1 col1\" >2.89%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row2\" class=\"row_heading level0 row2\" >2023-09</th>\n",
       "      <td id=\"T_69a45_row2_col0\" class=\"data row2 col0\" >4.34%</td>\n",
       "      <td id=\"T_69a45_row2_col1\" class=\"data row2 col1\" >3.15%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row3\" class=\"row_heading level0 row3\" >2023-10</th>\n",
       "      <td id=\"T_69a45_row3_col0\" class=\"data row3 col0\" >2.90%</td>\n",
       "      <td id=\"T_69a45_row3_col1\" class=\"data row3 col1\" >3.88%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row4\" class=\"row_heading level0 row4\" >2023-11</th>\n",
       "      <td id=\"T_69a45_row4_col0\" class=\"data row4 col0\" >2.40%</td>\n",
       "      <td id=\"T_69a45_row4_col1\" class=\"data row4 col1\" >-0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row5\" class=\"row_heading level0 row5\" >2023-12</th>\n",
       "      <td id=\"T_69a45_row5_col0\" class=\"data row5 col0\" >2.93%</td>\n",
       "      <td id=\"T_69a45_row5_col1\" class=\"data row5 col1\" >-1.22%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row6\" class=\"row_heading level0 row6\" >2024-01</th>\n",
       "      <td id=\"T_69a45_row6_col0\" class=\"data row6 col0\" >2.77%</td>\n",
       "      <td id=\"T_69a45_row6_col1\" class=\"data row6 col1\" >-2.99%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row7\" class=\"row_heading level0 row7\" >2024-02</th>\n",
       "      <td id=\"T_69a45_row7_col0\" class=\"data row7 col0\" >2.58%</td>\n",
       "      <td id=\"T_69a45_row7_col1\" class=\"data row7 col1\" >1.69%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row8\" class=\"row_heading level0 row8\" >2024-03</th>\n",
       "      <td id=\"T_69a45_row8_col0\" class=\"data row8 col0\" >2.43%</td>\n",
       "      <td id=\"T_69a45_row8_col1\" class=\"data row8 col1\" >4.13%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row9\" class=\"row_heading level0 row9\" >2024-04</th>\n",
       "      <td id=\"T_69a45_row9_col0\" class=\"data row9 col0\" >2.37%</td>\n",
       "      <td id=\"T_69a45_row9_col1\" class=\"data row9 col1\" >8.13%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row10\" class=\"row_heading level0 row10\" >2024-05</th>\n",
       "      <td id=\"T_69a45_row10_col0\" class=\"data row10 col0\" >2.57%</td>\n",
       "      <td id=\"T_69a45_row10_col1\" class=\"data row10 col1\" >6.39%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row11\" class=\"row_heading level0 row11\" >2024-06</th>\n",
       "      <td id=\"T_69a45_row11_col0\" class=\"data row11 col0\" >2.52%</td>\n",
       "      <td id=\"T_69a45_row11_col1\" class=\"data row11 col1\" >4.12%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row12\" class=\"row_heading level0 row12\" >2024-07</th>\n",
       "      <td id=\"T_69a45_row12_col0\" class=\"data row12 col0\" >2.58%</td>\n",
       "      <td id=\"T_69a45_row12_col1\" class=\"data row12 col1\" >1.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row13\" class=\"row_heading level0 row13\" >2024-08</th>\n",
       "      <td id=\"T_69a45_row13_col0\" class=\"data row13 col0\" >2.17%</td>\n",
       "      <td id=\"T_69a45_row13_col1\" class=\"data row13 col1\" >1.30%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row14\" class=\"row_heading level0 row14\" >2024-09</th>\n",
       "      <td id=\"T_69a45_row14_col0\" class=\"data row14 col0\" >1.74%</td>\n",
       "      <td id=\"T_69a45_row14_col1\" class=\"data row14 col1\" >0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row15\" class=\"row_heading level0 row15\" >2024-10</th>\n",
       "      <td id=\"T_69a45_row15_col0\" class=\"data row15 col0\" >2.00%</td>\n",
       "      <td id=\"T_69a45_row15_col1\" class=\"data row15 col1\" >1.56%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row16\" class=\"row_heading level0 row16\" >2024-11</th>\n",
       "      <td id=\"T_69a45_row16_col0\" class=\"data row16 col0\" >2.24%</td>\n",
       "      <td id=\"T_69a45_row16_col1\" class=\"data row16 col1\" >-0.32%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_69a45_level0_row17\" class=\"row_heading level0 row17\" >2024-12</th>\n",
       "      <td id=\"T_69a45_row17_col0\" class=\"data row17 col0\" >2.44%</td>\n",
       "      <td id=\"T_69a45_row17_col1\" class=\"data row17 col1\" >1.53%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x12db93770>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eu_hicp_df = eu_hicp_df.loc[from_date:, eu_hicp_df.columns[0:2]]\n",
    "eu_hicp_df.tail(18).style.format_index(IDX_FORMAT).format('{:.2%}')\\\n",
    "    .set_properties(subset=eu_hicp_df.columns, **{'width': '200px'})\\\n",
    "    .set_table_styles([{'selector': 'th', 'props': 'text-align: right; width: 100px'}])\\\n",
    "    .background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "played-barcelona",
   "metadata": {},
   "source": [
    "#### Eurozone Real GDP growth\n",
    "I present both growth over the last 4 quarters as well as growth over one quarter, both expressed as annual percentage rates. For growth over one quarter (the 2<sup>nd</sup> column) I use seasonally and calendar adjusted data (Eurostat code `SCA`). For growth over the last 4 quarters (which provides the official annual growth) I use unadjusted data (Eurostat code `NSA`). Unfortunately Eurostat tends to delay publishing unadujusted data, as a result you might occasionally see a NaN value in the last row for it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "consistent-saying",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style type=\"text/css\">\n",
       "#T_209ae th {\n",
       "  text-align: right;\n",
       "  width: 100px;\n",
       "}\n",
       "#T_209ae_row0_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #d1e2f3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row0_col1, #T_209ae_row2_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #f7fbff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row1_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #e7f1fa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row1_col1, #T_209ae_row7_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #08306b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row2_col1, #T_209ae_row15_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #8dc1dd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row3_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #eef5fc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row3_col1, #T_209ae_row7_col1, #T_209ae_row9_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #89bedc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row4_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #5aa2cf;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row4_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #6aaed6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row5_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #2777b8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row5_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #72b2d8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row6_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #084a91;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row6_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #85bcdc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row8_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #1561a9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row8_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #82bbdb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row9_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #1d6cb1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row10_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #3080bd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row10_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #94c4df;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row11_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #3f8fc5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row11_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #8abfdd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row12_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #539ecd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row12_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #91c3de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row13_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #63a8d3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row13_col1, #T_209ae_row14_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #92c4de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row14_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #69add5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row15_col0, #T_209ae_row16_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #77b5d9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row16_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #8fc2de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_209ae_row17_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #71b1d7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_209ae_row17_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #8cc0dd;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_209ae\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_209ae_level0_col0\" class=\"col_heading level0 col0\" >Real GDP</th>\n",
       "      <th id=\"T_209ae_level0_col1\" class=\"col_heading level0 col1\" >Real GDP over quarter at annual rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row0\" class=\"row_heading level0 row0\" >2020-04</th>\n",
       "      <td id=\"T_209ae_row0_col0\" class=\"data row0 col0\" >-3.38%</td>\n",
       "      <td id=\"T_209ae_row0_col1\" class=\"data row0 col1\" >-37.62%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row1\" class=\"row_heading level0 row1\" >2020-07</th>\n",
       "      <td id=\"T_209ae_row1_col0\" class=\"data row1 col0\" >-4.91%</td>\n",
       "      <td id=\"T_209ae_row1_col1\" class=\"data row1 col1\" >55.57%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row2\" class=\"row_heading level0 row2\" >2020-10</th>\n",
       "      <td id=\"T_209ae_row2_col0\" class=\"data row2 col0\" >-6.01%</td>\n",
       "      <td id=\"T_209ae_row2_col1\" class=\"data row2 col1\" >1.33%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row3\" class=\"row_heading level0 row3\" >2021-01</th>\n",
       "      <td id=\"T_209ae_row3_col0\" class=\"data row3 col0\" >-5.34%</td>\n",
       "      <td id=\"T_209ae_row3_col1\" class=\"data row3 col1\" >2.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row4\" class=\"row_heading level0 row4\" >2021-04</th>\n",
       "      <td id=\"T_209ae_row4_col0\" class=\"data row4 col0\" >1.58%</td>\n",
       "      <td id=\"T_209ae_row4_col1\" class=\"data row4 col1\" >9.31%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row5\" class=\"row_heading level0 row5\" >2021-07</th>\n",
       "      <td id=\"T_209ae_row5_col0\" class=\"data row5 col0\" >3.94%</td>\n",
       "      <td id=\"T_209ae_row5_col1\" class=\"data row5 col1\" >7.51%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row6\" class=\"row_heading level0 row6\" >2021-10</th>\n",
       "      <td id=\"T_209ae_row6_col0\" class=\"data row6 col0\" >6.30%</td>\n",
       "      <td id=\"T_209ae_row6_col1\" class=\"data row6 col1\" >3.13%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row7\" class=\"row_heading level0 row7\" >2022-01</th>\n",
       "      <td id=\"T_209ae_row7_col0\" class=\"data row7 col0\" >7.69%</td>\n",
       "      <td id=\"T_209ae_row7_col1\" class=\"data row7 col1\" >2.12%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row8\" class=\"row_heading level0 row8\" >2022-04</th>\n",
       "      <td id=\"T_209ae_row8_col0\" class=\"data row8 col0\" >5.09%</td>\n",
       "      <td id=\"T_209ae_row8_col1\" class=\"data row8 col1\" >3.70%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row9\" class=\"row_heading level0 row9\" >2022-07</th>\n",
       "      <td id=\"T_209ae_row9_col0\" class=\"data row9 col0\" >4.50%</td>\n",
       "      <td id=\"T_209ae_row9_col1\" class=\"data row9 col1\" >2.41%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row10\" class=\"row_heading level0 row10\" >2022-10</th>\n",
       "      <td id=\"T_209ae_row10_col0\" class=\"data row10 col0\" >3.51%</td>\n",
       "      <td id=\"T_209ae_row10_col1\" class=\"data row10 col1\" >-0.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row11\" class=\"row_heading level0 row11\" >2023-01</th>\n",
       "      <td id=\"T_209ae_row11_col0\" class=\"data row11 col0\" >2.66%</td>\n",
       "      <td id=\"T_209ae_row11_col1\" class=\"data row11 col1\" >1.95%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row12\" class=\"row_heading level0 row12\" >2023-04</th>\n",
       "      <td id=\"T_209ae_row12_col0\" class=\"data row12 col0\" >1.81%</td>\n",
       "      <td id=\"T_209ae_row12_col1\" class=\"data row12 col1\" >0.33%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row13\" class=\"row_heading level0 row13\" >2023-07</th>\n",
       "      <td id=\"T_209ae_row13_col0\" class=\"data row13 col0\" >1.19%</td>\n",
       "      <td id=\"T_209ae_row13_col1\" class=\"data row13 col1\" >0.02%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row14\" class=\"row_heading level0 row14\" >2023-10</th>\n",
       "      <td id=\"T_209ae_row14_col0\" class=\"data row14 col0\" >0.90%</td>\n",
       "      <td id=\"T_209ae_row14_col1\" class=\"data row14 col1\" >0.19%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row15\" class=\"row_heading level0 row15\" >2024-01</th>\n",
       "      <td id=\"T_209ae_row15_col0\" class=\"data row15 col0\" >0.43%</td>\n",
       "      <td id=\"T_209ae_row15_col1\" class=\"data row15 col1\" >1.24%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row16\" class=\"row_heading level0 row16\" >2024-04</th>\n",
       "      <td id=\"T_209ae_row16_col0\" class=\"data row16 col0\" >0.42%</td>\n",
       "      <td id=\"T_209ae_row16_col1\" class=\"data row16 col1\" >0.71%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_209ae_level0_row17\" class=\"row_heading level0 row17\" >2024-07</th>\n",
       "      <td id=\"T_209ae_row17_col0\" class=\"data row17 col0\" >0.65%</td>\n",
       "      <td id=\"T_209ae_row17_col1\" class=\"data row17 col1\" >1.65%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x12efaaae0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# real_gdp.loc['2020':]\n",
    "real_gdp.tail(18).style.format_index(IDX_FORMAT).format('{:.2%}')\\\n",
    "    .set_properties(subset=real_gdp.columns, **{'width': '200px'})\\\n",
    "    .set_table_styles([{'selector': 'th', 'props': 'text-align: right; width: 100px'}])\\\n",
    "    .background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "psychological-trout",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = real_gdp.iloc[:,0].plot(figsize=(20,10), grid=True, title='Eurozone Real GDP growth (annual rate)',\n",
    "                   xticks=real_gdp.index[::4], xlabel='', rot=45)#, yticks=np.arange(-.15, .2, 0.025))\n",
    "ax.axhline(y=0, lw=2, c='k')\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2 = ax.twiny()\n",
    "real_gdp.iloc[:,0].plot.bar(ax=ax2, xlabel='', legend=False)\n",
    "ax.axhline(y=real_gdp.iloc[:,0].mean(), ls='--', c='#1f77b4', label='Mean level of Real GDP growth')\n",
    "ax.legend()\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, real_gdp.index[::4])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "formal-compound",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean level of annual rate of real GDP growth in the Euro area since 1997-01-01: 1.65%\n"
     ]
    }
   ],
   "source": [
    "print(f'Mean level of annual rate of real GDP growth in the Euro area since {real_gdp.index[0]:%Y-%m-%d}: '\n",
    "      f'{real_gdp.iloc[:,0].mean():.2%}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "graduate-torture",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Real GDP</th>\n",
       "      <th>Annual Eurozone HICP</th>\n",
       "      <th>10y German Government Bond Yield</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>0.5146%</td>\n",
       "      <td>1.1090%</td>\n",
       "      <td>-0.4400%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-01</th>\n",
       "      <td>-3.3812%</td>\n",
       "      <td>0.2217%</td>\n",
       "      <td>-0.4667%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-01</th>\n",
       "      <td>-4.9107%</td>\n",
       "      <td>-0.0313%</td>\n",
       "      <td>-0.5200%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-01</th>\n",
       "      <td>-6.0051%</td>\n",
       "      <td>-0.2754%</td>\n",
       "      <td>-0.6133%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>-5.3384%</td>\n",
       "      <td>1.0597%</td>\n",
       "      <td>-0.4633%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-01</th>\n",
       "      <td>1.5782%</td>\n",
       "      <td>1.8360%</td>\n",
       "      <td>-0.2800%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-01</th>\n",
       "      <td>3.9394%</td>\n",
       "      <td>2.8279%</td>\n",
       "      <td>-0.4500%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01</th>\n",
       "      <td>6.3031%</td>\n",
       "      <td>4.6274%</td>\n",
       "      <td>-0.3000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-01</th>\n",
       "      <td>7.6912%</td>\n",
       "      <td>6.1422%</td>\n",
       "      <td>0.1033%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-04-01</th>\n",
       "      <td>5.0876%</td>\n",
       "      <td>8.0453%</td>\n",
       "      <td>1.0500%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-01</th>\n",
       "      <td>4.5031%</td>\n",
       "      <td>9.3113%</td>\n",
       "      <td>1.3033%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-01</th>\n",
       "      <td>3.5058%</td>\n",
       "      <td>9.9572%</td>\n",
       "      <td>2.1167%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-01</th>\n",
       "      <td>2.6639%</td>\n",
       "      <td>8.0105%</td>\n",
       "      <td>2.3133%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-01</th>\n",
       "      <td>1.8107%</td>\n",
       "      <td>6.1931%</td>\n",
       "      <td>2.3600%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-01</th>\n",
       "      <td>1.1879%</td>\n",
       "      <td>4.9630%</td>\n",
       "      <td>2.5567%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-01</th>\n",
       "      <td>0.9015%</td>\n",
       "      <td>2.7423%</td>\n",
       "      <td>2.5067%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-01</th>\n",
       "      <td>0.4282%</td>\n",
       "      <td>2.5927%</td>\n",
       "      <td>2.2867%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-01</th>\n",
       "      <td>0.4151%</td>\n",
       "      <td>2.4855%</td>\n",
       "      <td>2.4833%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>0.6504%</td>\n",
       "      <td>2.1635%</td>\n",
       "      <td>2.2800%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Real GDP  Annual Eurozone HICP  10y German Government Bond Yield\n",
       "2020-01-01   0.5146%               1.1090%                          -0.4400%\n",
       "2020-04-01  -3.3812%               0.2217%                          -0.4667%\n",
       "2020-07-01  -4.9107%              -0.0313%                          -0.5200%\n",
       "2020-10-01  -6.0051%              -0.2754%                          -0.6133%\n",
       "2021-01-01  -5.3384%               1.0597%                          -0.4633%\n",
       "2021-04-01   1.5782%               1.8360%                          -0.2800%\n",
       "2021-07-01   3.9394%               2.8279%                          -0.4500%\n",
       "2021-10-01   6.3031%               4.6274%                          -0.3000%\n",
       "2022-01-01   7.6912%               6.1422%                           0.1033%\n",
       "2022-04-01   5.0876%               8.0453%                           1.0500%\n",
       "2022-07-01   4.5031%               9.3113%                           1.3033%\n",
       "2022-10-01   3.5058%               9.9572%                           2.1167%\n",
       "2023-01-01   2.6639%               8.0105%                           2.3133%\n",
       "2023-04-01   1.8107%               6.1931%                           2.3600%\n",
       "2023-07-01   1.1879%               4.9630%                           2.5567%\n",
       "2023-10-01   0.9015%               2.7423%                           2.5067%\n",
       "2024-01-01   0.4282%               2.5927%                           2.2867%\n",
       "2024-04-01   0.4151%               2.4855%                           2.4833%\n",
       "2024-07-01   0.6504%               2.1635%                           2.2800%"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Including only the yield on German government bonds as those of Italy are not AAA rated and cannot be regarded\n",
    "# as riskfree\n",
    "df = pd.concat([real_gdp.iloc[:,0], cpi_ecbr_irtlt.iloc[:,[0,3]].resample('QS').mean()], axis=1)\\\n",
    "    .loc[:real_gdp.last_valid_index()] # Truncate based on last valid GDP value\n",
    "df.loc['2020':]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "suspected-requirement",
   "metadata": {},
   "source": [
    "### Visualizing the relationship between 10y German Bund Yield and the Intrinsic Riskfree rate (real GDP growth + inflation rates)\n",
    "I use Germany 10-year government bond yield as a representative of a Eurozone central government bond with an AAA credit rating in the below graph. It is a proxy for the actual long-term riskfree rate in the Eurozone. I compare it with the intrinsic riskfree rate as defined by the sum of real GDP growth and inflation rates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "median-particle",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.iloc[:, -1].plot(figsize=(20,10), grid=True,\n",
    "                         title='Annual HICP and Real GDP vs ' + DE_YIELD_LABEL,\n",
    "                         xticks=df.index[::2], xlabel='', rot=45,\n",
    "                         yticks=np.arange(-.15, .2, 0.025), linestyle='--', color='k')\n",
    "ax2 = ax.twiny()\n",
    "df.iloc[:,[0,1]].plot.bar(ax=ax2, xlabel='', stacked=True)\n",
    "ax.legend(loc='upper center')\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, df.index[::2])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "polyphonic-import",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates: 0.53%\n",
      "Compared with: 0.42% one quarter earlier\n"
     ]
    }
   ],
   "source": [
    "print('Gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates: {:.2%}\\n'\n",
    "      'Compared with: {:.2%} one quarter earlier'.format(\n",
    "    df.iloc[-1,0] + df.iloc[-1,1] - df.iloc[-1,2], df.iloc[-2,0] + df.iloc[-2,1] - df.iloc[-2,2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cheap-washington",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since 1997-01: 1.12%\n"
     ]
    }
   ],
   "source": [
    "print('Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since {:%Y-%m}: {:.2%}'\n",
    "      .format(df.index[0], df.iloc[:,0].mean() + df.iloc[:,1].mean() - df.iloc[:,2].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "located-envelope",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since 2009-01: 1.88%\n"
     ]
    }
   ],
   "source": [
    "from_dt = date(2009, 1, 1)\n",
    "means = df.loc[from_dt:].mean()\n",
    "print('Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since {:%Y-%m}: {:.2%}'\n",
    "      .format(from_dt, means.iloc[0] + means.iloc[1] - means.iloc[2]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "rotary-complement",
   "metadata": {},
   "source": [
    "## A quick look at wage inflation in the Eurozone\n",
    "In contrast to U.S. Bureau of Labor Statistics, unfortunately Eurostat typically lags by one quarter in publishing data on wage inflation and publishes them only with quarterly frequencies.\n",
    "\n",
    "I use the following dataseries provided by [Eurostat](https://ec.europa.eu/eurostat/web/main/data/database):\n",
    "* `lc_lci_r2_q` &mdash; Labour cost index by NACE Rev. 2 activity - nominal value, quarterly data. This series returns a MultiIndexed dataset containing different views on this data for the Eurozone as a whole as whell as for each individual country in the EU."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "objective-humidity",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Seasonally and calendar-adjusted, 2020=100\n",
    "# NACE Rev 2. Sections B to S from 2009Q1 onward\n",
    "# Labour cost for LCI (compensation of employees plus taxes minus subsidies): D1_D4_MD5\n",
    "eu_wagei = eurostat.get_data_df('lc_lci_r2_q',\n",
    "        filter_pars={'startPeriod': report_start, 's_adj': 'SCA', 'unit': 'I20',\n",
    "                     'nace_r2': 'B-S', 'lcstruct': 'D1_D4_MD5', 'geo': 'EA'}).iloc[:, 5:]\n",
    "eu_wagei = eu_wagei.set_index(eu_wagei.columns[0]).T\n",
    "eu_wagei = eu_wagei.set_axis(pd.DatetimeIndex(eu_wagei.index, 'QS'))\n",
    "eu_wagei.dropna(inplace=True)\n",
    "eu_wagei_quarterly = (eu_wagei/eu_wagei.shift()).pow(4) - 1\n",
    "eu_wagei_quarterly.rename(columns={'EA': 'Hourly Earnings Change Over Last Quarter at Annual Rate'}, inplace=True)\n",
    "eu_wagei = eu_wagei.pct_change(4, fill_method=None).dropna()\n",
    "eu_wagei.rename(columns={'EA': 'Hourly Earnings Annual Percentage Change'}, inplace=True)\n",
    "\n",
    "cpi_and_wagei = pd.concat([cpi_ecbr_irtlt.iloc[:,0].resample('QS').last().loc[eu_wagei.index[0]:], eu_wagei], axis=1)\\\n",
    "     .loc[:date.today()-relativedelta(months=+3)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "becoming-burner",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mean level of Wage Inflation, and HICP\n",
    "mean_level_wagei = eu_wagei.iloc[:,0].mean()\n",
    "mean_level_cpi = cpi_ecbr_irtlt.iloc[:,0].mean()\n",
    "\n",
    "LABEL_MEAN_WAGEI = 'Mean Level of Annual Changes in Labour Costs'\n",
    "LABEL_MEAN_CPI = 'Mean Level of Annual Changes in HICP'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "divine-marble",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = cpi_and_wagei.plot(figsize=(20,10), grid=True,\n",
    "                        title='Eurozone Annual HICP and Hourly Earnings',\n",
    "                        xticks=cpi_and_wagei.index[::2], xlabel='', rot=45, yticks=np.arange(0, .13, .02))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "#ax.axhline(y=mean_level_cpi, lw=2, ls='--', c='#1f77b4', label=LABEL_MEAN_CPI)\n",
    "ax.axhline(y=mean_level_wagei, lw=2, ls='--', c='#ff7f0e', label=LABEL_MEAN_WAGEI)\n",
    "ax.legend()\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, cpi_and_wagei.index[::2])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "convinced-antenna",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Labour costs annual growth +2.47% above the historic mean of 2.39% in quarter starting on 2024-07-01\n"
     ]
    }
   ],
   "source": [
    "print('Labour costs annual growth {:+.2%} above the historic mean of {:.2%} in quarter starting on {:%Y-%m-%d}'\n",
    "      .format(eu_wagei.iloc[-1,0]-mean_level_wagei, mean_level_wagei, eu_wagei.index[-1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "wound-motorcycle",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "}\n",
       "#T_1d579_row6_col1, #T_1d579_row10_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #2e7ebc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row7_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #08519c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row7_col1, #T_1d579_row8_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #08306b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row8_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #3686c0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row9_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #084387;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row9_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #08326e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row10_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #083e81;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row11_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #549fcd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row11_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #084f99;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row12_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #7db8da;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_1d579_row12_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #083573;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row13_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #b0d2e7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_1d579_row13_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #1967ad;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row14_col0, #T_1d579_row17_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #c1d9ed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_1d579_row14_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #084a91;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row15_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #bed8ec;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_1d579_row15_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #083a7a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row16_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #d0e1f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_1d579_row16_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #08468b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1d579_row17_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #000000;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_1d579\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_1d579_level0_col0\" class=\"col_heading level0 col0\" >Annual Eurozone HICP</th>\n",
       "      <th id=\"T_1d579_level0_col1\" class=\"col_heading level0 col1\" >Hourly Earnings Annual Percentage Change</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row0\" class=\"row_heading level0 row0\" >2020-07</th>\n",
       "      <td id=\"T_1d579_row0_col0\" class=\"data row0 col0\" >-0.31%</td>\n",
       "      <td id=\"T_1d579_row0_col1\" class=\"data row0 col1\" >2.88%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row1\" class=\"row_heading level0 row1\" >2020-10</th>\n",
       "      <td id=\"T_1d579_row1_col0\" class=\"data row1 col0\" >-0.27%</td>\n",
       "      <td id=\"T_1d579_row1_col1\" class=\"data row1 col1\" >2.35%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row2\" class=\"row_heading level0 row2\" >2021-01</th>\n",
       "      <td id=\"T_1d579_row2_col0\" class=\"data row2 col0\" >1.33%</td>\n",
       "      <td id=\"T_1d579_row2_col1\" class=\"data row2 col1\" >0.20%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row3\" class=\"row_heading level0 row3\" >2021-04</th>\n",
       "      <td id=\"T_1d579_row3_col0\" class=\"data row3 col0\" >1.90%</td>\n",
       "      <td id=\"T_1d579_row3_col1\" class=\"data row3 col1\" >-0.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row4\" class=\"row_heading level0 row4\" >2021-07</th>\n",
       "      <td id=\"T_1d579_row4_col0\" class=\"data row4 col0\" >3.36%</td>\n",
       "      <td id=\"T_1d579_row4_col1\" class=\"data row4 col1\" >2.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row5\" class=\"row_heading level0 row5\" >2021-10</th>\n",
       "      <td id=\"T_1d579_row5_col0\" class=\"data row5 col0\" >4.96%</td>\n",
       "      <td id=\"T_1d579_row5_col1\" class=\"data row5 col1\" >2.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row6\" class=\"row_heading level0 row6\" >2022-01</th>\n",
       "      <td id=\"T_1d579_row6_col0\" class=\"data row6 col0\" >7.44%</td>\n",
       "      <td id=\"T_1d579_row6_col1\" class=\"data row6 col1\" >3.70%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row7\" class=\"row_heading level0 row7\" >2022-04</th>\n",
       "      <td id=\"T_1d579_row7_col0\" class=\"data row7 col0\" >8.64%</td>\n",
       "      <td id=\"T_1d579_row7_col1\" class=\"data row7 col1\" >5.32%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row8\" class=\"row_heading level0 row8\" >2022-07</th>\n",
       "      <td id=\"T_1d579_row8_col0\" class=\"data row8 col0\" >9.93%</td>\n",
       "      <td id=\"T_1d579_row8_col1\" class=\"data row8 col1\" >3.52%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row9\" class=\"row_heading level0 row9\" >2022-10</th>\n",
       "      <td id=\"T_1d579_row9_col0\" class=\"data row9 col0\" >9.20%</td>\n",
       "      <td id=\"T_1d579_row9_col1\" class=\"data row9 col1\" >5.25%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row10\" class=\"row_heading level0 row10\" >2023-01</th>\n",
       "      <td id=\"T_1d579_row10_col0\" class=\"data row10 col0\" >6.88%</td>\n",
       "      <td id=\"T_1d579_row10_col1\" class=\"data row10 col1\" >5.01%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row11\" class=\"row_heading level0 row11\" >2023-04</th>\n",
       "      <td id=\"T_1d579_row11_col0\" class=\"data row11 col0\" >5.52%</td>\n",
       "      <td id=\"T_1d579_row11_col1\" class=\"data row11 col1\" >4.67%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row12\" class=\"row_heading level0 row12\" >2023-07</th>\n",
       "      <td id=\"T_1d579_row12_col0\" class=\"data row12 col0\" >4.34%</td>\n",
       "      <td id=\"T_1d579_row12_col1\" class=\"data row12 col1\" >5.20%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row13\" class=\"row_heading level0 row13\" >2023-10</th>\n",
       "      <td id=\"T_1d579_row13_col0\" class=\"data row13 col0\" >2.93%</td>\n",
       "      <td id=\"T_1d579_row13_col1\" class=\"data row13 col1\" >4.16%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row14\" class=\"row_heading level0 row14\" >2024-01</th>\n",
       "      <td id=\"T_1d579_row14_col0\" class=\"data row14 col0\" >2.43%</td>\n",
       "      <td id=\"T_1d579_row14_col1\" class=\"data row14 col1\" >4.77%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row15\" class=\"row_heading level0 row15\" >2024-04</th>\n",
       "      <td id=\"T_1d579_row15_col0\" class=\"data row15 col0\" >2.52%</td>\n",
       "      <td id=\"T_1d579_row15_col1\" class=\"data row15 col1\" >5.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row16\" class=\"row_heading level0 row16\" >2024-07</th>\n",
       "      <td id=\"T_1d579_row16_col0\" class=\"data row16 col0\" >1.74%</td>\n",
       "      <td id=\"T_1d579_row16_col1\" class=\"data row16 col1\" >4.85%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d579_level0_row17\" class=\"row_heading level0 row17\" >2024-10</th>\n",
       "      <td id=\"T_1d579_row17_col0\" class=\"data row17 col0\" >2.44%</td>\n",
       "      <td id=\"T_1d579_row17_col1\" class=\"data row17 col1\" >nan%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x12f7e8890>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpi_and_wagei = cpi_and_wagei.loc[from_date:, cpi_and_wagei.columns[0:2]]\n",
    "cpi_and_wagei.tail(18).style.format_index(IDX_FORMAT).format('{:.2%}')\\\n",
    "    .set_properties(subset=cpi_and_wagei.columns, **{'width': '200px'})\\\n",
    "    .set_table_styles([{'selector': 'th', 'props': 'text-align: right; width: 100px'}])\\\n",
    "    .background_gradient(cmap=cm, subset=cpi_and_wagei.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "confidential-routine",
   "metadata": {},
   "source": [
    "## Analyzing Euro Riskless Rate Curve\n",
    "In this analysis I make use of the spot rates (aka zero-rates) implied by AAA-rated governmental bonds in the Euro area.\n",
    "\n",
    "I use the following dataseries provided by the [Eurostat](https://ec.europa.eu/eurostat/web/main/data/database):\n",
    "* `irt_euryld_m` &mdash; Euro yield curves (monthly frequency). This series returns a MultiIndexed dataset from which multiple yields can be extraced: Instantaneous forward yield curve, Par yield curve, and Spot rate yield curve. In my analysis I use the Spor rate yield curve. The returned rates are presented using Annual percentage rates/yields and represent the average over all business days in a given month. [The ECB uses continuous compounding](https://www.ecb.europa.eu/stats/financial_markets_and_interest_rates/euro_area_yield_curves/shared/pdf/technical_notes.pdf) when calculating them.\n",
    "* `irt_st_m` &mdash; Euro EURIBOR rates (monthly frequency). EURIBOR uses the actual/360 daycount convention. This series returns a MultiIndexed dataset allowing to select different maturities. I only use the 1 month rates in this notebook as the spread between government bond rates and EURIBOR tends to increase with longer maturities. Rates returned represent the average over all business days in a given month.\n",
    "\n",
    "And one dataset from [FRED](https://fred.stlouisfed.org):\n",
    "* `ECBDFR` &mdash; ECB Deposit Facility Rate for Euro Area (daily frequency). I use it as proxy for overnight rate after downsampling to monthly frequency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "introductory-norfolk",
   "metadata": {},
   "outputs": [],
   "source": [
    "# The ECB provides yields for maturities ranging from 3 months till 30 years\n",
    "year_maturities = range(1, 31)\n",
    "maturities = ['Y'+str(maturity) for maturity in year_maturities]\n",
    "\n",
    "# Taking the last 3 months and converting to decimal fractions\n",
    "euro_curves = eurostat.get_data_df('irt_euryld_m', filter_pars={\n",
    "    'startPeriod': (report_end-MonthBegin(4)).date(), 'freq': 'M',\n",
    "    'yld_curv': 'SPOT_RT',\n",
    "    'maturity': maturities,\n",
    "    'bonds': 'CGB_EA_AAA', 'geo': 'EA'})\n",
    "euro_curves = euro_curves.drop(euro_curves.columns[:3].append(euro_curves.columns[4:5]), axis=1)\n",
    "euro_curves = euro_curves.set_index(euro_curves.columns[0]).T / 100.\n",
    "euro_spot_rates = euro_curves.set_axis(pd.DatetimeIndex(euro_curves.index, 'MS'))\n",
    "\n",
    "mm_rates = eurostat.get_data_df('irt_st_m', filter_pars={\n",
    "    'startPeriod': (report_end-MonthBegin(4)).date(), 'freq': 'M',\n",
    "    'int_rt': 'IRT_M1', 'geo': 'EA'}).iloc[:,2:]\n",
    "mm_rates = mm_rates.set_index(mm_rates.columns[0]).T / 100.\n",
    "mm_rates = mm_rates.set_axis(pd.DatetimeIndex(mm_rates.index, 'MS'))\n",
    "\n",
    "ecb_deposit_rate = web.get_data_fred('ECBDFR', start=report_end-MonthBegin(4)) / 100.\n",
    "\n",
    "# Resample to monthly frequency\n",
    "ecb_deposit_rate = ecb_deposit_rate.asfreq('D').resample('MS').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "auburn-prague",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converting EURIBOR and ECB Deposit rates from actual/360 to actual/actual and then to continuous compounding\n",
    "leap_year_cond = lambda idx: idx.year % 4 == 0 & ((idx.year % 100 != 0) | (idx.year % 400 == 0))\n",
    "mm_rates[leap_year_cond(mm_rates.index)] *= 366. / 360\n",
    "mm_rates[np.invert(leap_year_cond(mm_rates.index))] *= 365. / 360\n",
    "ecb_deposit_rate[leap_year_cond(ecb_deposit_rate.index)] *= 366. / 360\n",
    "ecb_deposit_rate[np.invert(leap_year_cond(ecb_deposit_rate.index))] *= 365. / 360\n",
    "\n",
    "\n",
    "# From annual to continuous compounding\n",
    "ecb_deposit_rate = np.log(1 + ecb_deposit_rate)\n",
    "mm_rates = np.log(1 + mm_rates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "common-paris",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>maturity</th>\n",
       "      <th>1 month</th>\n",
       "      <th>Y1</th>\n",
       "      <th>Y2</th>\n",
       "      <th>Y3</th>\n",
       "      <th>Y4</th>\n",
       "      <th>Y5</th>\n",
       "      <th>Y6</th>\n",
       "      <th>Y7</th>\n",
       "      <th>Y8</th>\n",
       "      <th>Y9</th>\n",
       "      <th>...</th>\n",
       "      <th>Y21</th>\n",
       "      <th>Y22</th>\n",
       "      <th>Y23</th>\n",
       "      <th>Y24</th>\n",
       "      <th>Y25</th>\n",
       "      <th>Y26</th>\n",
       "      <th>Y27</th>\n",
       "      <th>Y28</th>\n",
       "      <th>Y29</th>\n",
       "      <th>Y30</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-10-01</th>\n",
       "      <td>3.2069%</td>\n",
       "      <td>2.4340%</td>\n",
       "      <td>2.1110%</td>\n",
       "      <td>2.0128%</td>\n",
       "      <td>2.0129%</td>\n",
       "      <td>2.0557%</td>\n",
       "      <td>2.1160%</td>\n",
       "      <td>2.1813%</td>\n",
       "      <td>2.2459%</td>\n",
       "      <td>2.3066%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.6150%</td>\n",
       "      <td>2.6136%</td>\n",
       "      <td>2.6097%</td>\n",
       "      <td>2.6033%</td>\n",
       "      <td>2.5948%</td>\n",
       "      <td>2.5845%</td>\n",
       "      <td>2.5725%</td>\n",
       "      <td>2.5590%</td>\n",
       "      <td>2.5442%</td>\n",
       "      <td>2.5283%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-11-01</th>\n",
       "      <td>3.0699%</td>\n",
       "      <td>2.3342%</td>\n",
       "      <td>2.0845%</td>\n",
       "      <td>2.0347%</td>\n",
       "      <td>2.0622%</td>\n",
       "      <td>2.1184%</td>\n",
       "      <td>2.1831%</td>\n",
       "      <td>2.2475%</td>\n",
       "      <td>2.3077%</td>\n",
       "      <td>2.3620%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5894%</td>\n",
       "      <td>2.5843%</td>\n",
       "      <td>2.5770%</td>\n",
       "      <td>2.5679%</td>\n",
       "      <td>2.5571%</td>\n",
       "      <td>2.5450%</td>\n",
       "      <td>2.5316%</td>\n",
       "      <td>2.5171%</td>\n",
       "      <td>2.5017%</td>\n",
       "      <td>2.4856%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-12-01</th>\n",
       "      <td>2.8919%</td>\n",
       "      <td>2.1885%</td>\n",
       "      <td>1.9627%</td>\n",
       "      <td>1.9152%</td>\n",
       "      <td>1.9408%</td>\n",
       "      <td>1.9952%</td>\n",
       "      <td>2.0589%</td>\n",
       "      <td>2.1228%</td>\n",
       "      <td>2.1828%</td>\n",
       "      <td>2.2371%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.4618%</td>\n",
       "      <td>2.4566%</td>\n",
       "      <td>2.4492%</td>\n",
       "      <td>2.4400%</td>\n",
       "      <td>2.4292%</td>\n",
       "      <td>2.4171%</td>\n",
       "      <td>2.4037%</td>\n",
       "      <td>2.3893%</td>\n",
       "      <td>2.3740%</td>\n",
       "      <td>2.3581%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "maturity    1 month      Y1      Y2      Y3      Y4      Y5      Y6      Y7  \\\n",
       "2024-10-01  3.2069% 2.4340% 2.1110% 2.0128% 2.0129% 2.0557% 2.1160% 2.1813%   \n",
       "2024-11-01  3.0699% 2.3342% 2.0845% 2.0347% 2.0622% 2.1184% 2.1831% 2.2475%   \n",
       "2024-12-01  2.8919% 2.1885% 1.9627% 1.9152% 1.9408% 1.9952% 2.0589% 2.1228%   \n",
       "\n",
       "maturity        Y8      Y9  ...     Y21     Y22     Y23     Y24     Y25  \\\n",
       "2024-10-01 2.2459% 2.3066%  ... 2.6150% 2.6136% 2.6097% 2.6033% 2.5948%   \n",
       "2024-11-01 2.3077% 2.3620%  ... 2.5894% 2.5843% 2.5770% 2.5679% 2.5571%   \n",
       "2024-12-01 2.1828% 2.2371%  ... 2.4618% 2.4566% 2.4492% 2.4400% 2.4292%   \n",
       "\n",
       "maturity       Y26     Y27     Y28     Y29     Y30  \n",
       "2024-10-01 2.5845% 2.5725% 2.5590% 2.5442% 2.5283%  \n",
       "2024-11-01 2.5450% 2.5316% 2.5171% 2.5017% 2.4856%  \n",
       "2024-12-01 2.4171% 2.4037% 2.3893% 2.3740% 2.3581%  \n",
       "\n",
       "[3 rows x 31 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mm_rates.columns.rename(euro_spot_rates.columns.name, inplace=True)\n",
    "mm_rates.rename(columns={'EA': '1 month'}, inplace=True)\n",
    "pd.concat([mm_rates, euro_spot_rates], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "acceptable-imperial",
   "metadata": {},
   "outputs": [],
   "source": [
    "date_now = euro_spot_rates.index[-1].date()\n",
    "date_1_mth_ago = date_now + relativedelta(months=-1)\n",
    "date_2_mth_ago = date_now + relativedelta(months=-2)\n",
    "offsets = [relativedelta(years=+maturity) for maturity in year_maturities]\n",
    "monthly_offsets = [relativedelta(), relativedelta(months=+1)] #, relativedelta(months=+3), relativedelta(months=+6)]\n",
    "offsets = monthly_offsets + offsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "consistent-situation",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define Euro yield curves\n",
    "curve = curves.YieldCurve(date_now, offsets, np.append(\n",
    "            np.append(ecb_deposit_rate.loc[str(mm_rates.index[-1])].to_numpy(), mm_rates.iloc[-1].to_numpy()),\n",
    "            euro_spot_rates.iloc[-1].to_numpy()), compounding_freq=0)\n",
    "curve_1_mth_ago = curves.YieldCurve(date_1_mth_ago, offsets, np.append(\n",
    "            np.append(ecb_deposit_rate[date_1_mth_ago:date_1_mth_ago+BDay()].to_numpy()[0,:], mm_rates[date_1_mth_ago:date_1_mth_ago+BDay()].to_numpy()[0,:]),\n",
    "            euro_spot_rates[date_1_mth_ago:date_1_mth_ago+BDay()].to_numpy()[0,:]), compounding_freq=0)\n",
    "curve_2_mth_ago = curves.YieldCurve(date_2_mth_ago, offsets, np.append(\n",
    "            np.append(ecb_deposit_rate[date_2_mth_ago:date_2_mth_ago+BDay()].to_numpy()[0,:], mm_rates[date_2_mth_ago:date_2_mth_ago+BDay()].to_numpy()[0,:]),\n",
    "            euro_spot_rates[date_2_mth_ago:date_2_mth_ago+BDay()].to_numpy()[0,:]), compounding_freq=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "destroyed-postage",
   "metadata": {},
   "outputs": [],
   "source": [
    "curve_points = curve.get_curve_points(120)\n",
    "curve_points_1_mth_ago = curve_1_mth_ago.get_curve_points(120)\n",
    "curve_points_2_mth_ago = curve_2_mth_ago.get_curve_points(120)\n",
    "curve_points.rename('Euro riskless rate', inplace=True)\n",
    "curve_points_1_mth_ago.rename(curve_points.name + ' (1 month prior)', inplace=True)\n",
    "curve_points_2_mth_ago.rename(curve_points.name + ' (2 months prior)', inplace=True)\n",
    "\n",
    "# Replacing indices for sake of better visualization\n",
    "curve_points_1_mth_ago = curve_points_1_mth_ago.set_axis(curve_points.index)\n",
    "curve_points_2_mth_ago = curve_points_2_mth_ago.set_axis(curve_points.index)\n",
    "df = pd.concat([curve_points, curve_points_1_mth_ago, curve_points_2_mth_ago], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "going-standard",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Euro riskless rate</th>\n",
       "      <th>Euro riskless rate (1 month prior)</th>\n",
       "      <th>Euro riskless rate (2 months prior)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-12-02</th>\n",
       "      <td>3.1396%</td>\n",
       "      <td>3.2508%</td>\n",
       "      <td>3.4252%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-03-04</th>\n",
       "      <td>2.5213%</td>\n",
       "      <td>2.7925%</td>\n",
       "      <td>2.8827%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-06-04</th>\n",
       "      <td>2.2477%</td>\n",
       "      <td>2.5336%</td>\n",
       "      <td>2.6032%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-09-04</th>\n",
       "      <td>2.1822%</td>\n",
       "      <td>2.4038%</td>\n",
       "      <td>2.4865%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-12-05</th>\n",
       "      <td>2.1884%</td>\n",
       "      <td>2.3333%</td>\n",
       "      <td>2.4320%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2053-11-27</th>\n",
       "      <td>2.3742%</td>\n",
       "      <td>2.5019%</td>\n",
       "      <td>2.5443%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054-02-27</th>\n",
       "      <td>2.3702%</td>\n",
       "      <td>2.4979%</td>\n",
       "      <td>2.5404%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054-05-30</th>\n",
       "      <td>2.3662%</td>\n",
       "      <td>2.4939%</td>\n",
       "      <td>2.5364%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054-08-31</th>\n",
       "      <td>2.3621%</td>\n",
       "      <td>2.4898%</td>\n",
       "      <td>2.5324%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054-12-01</th>\n",
       "      <td>2.3581%</td>\n",
       "      <td>2.4856%</td>\n",
       "      <td>2.5283%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Euro riskless rate  Euro riskless rate (1 month prior)  \\\n",
       "2024-12-02             3.1396%                             3.2508%   \n",
       "2025-03-04             2.5213%                             2.7925%   \n",
       "2025-06-04             2.2477%                             2.5336%   \n",
       "2025-09-04             2.1822%                             2.4038%   \n",
       "2025-12-05             2.1884%                             2.3333%   \n",
       "...                        ...                                 ...   \n",
       "2053-11-27             2.3742%                             2.5019%   \n",
       "2054-02-27             2.3702%                             2.4979%   \n",
       "2054-05-30             2.3662%                             2.4939%   \n",
       "2054-08-31             2.3621%                             2.4898%   \n",
       "2054-12-01             2.3581%                             2.4856%   \n",
       "\n",
       "            Euro riskless rate (2 months prior)  \n",
       "2024-12-02                              3.4252%  \n",
       "2025-03-04                              2.8827%  \n",
       "2025-06-04                              2.6032%  \n",
       "2025-09-04                              2.4865%  \n",
       "2025-12-05                              2.4320%  \n",
       "...                                         ...  \n",
       "2053-11-27                              2.5443%  \n",
       "2054-02-27                              2.5404%  \n",
       "2054-05-30                              2.5364%  \n",
       "2054-08-31                              2.5324%  \n",
       "2054-12-01                              2.5283%  \n",
       "\n",
       "[120 rows x 3 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "conscious-gnome",
   "metadata": {},
   "source": [
    "#### Compounding frequency\n",
    "The rates presented throught this notebook use a continuous compounding frequency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "catholic-welcome",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.iloc[:,0:1].plot(figsize=(20,10), grid=True,\n",
    "             title='Euro Riskless Rate Curve over month ' + date_now.strftime('%Y-%m'),\n",
    "             xlim=(df.index[0], df.index[-1]), xticks=df.index[::4], xlabel='', rot=45)\n",
    "df.iloc[:,1:2].plot(ax=ax, grid=True, xticks=df.index[::4], rot=45, linestyle='--', color=['#1f77b4'])\n",
    "df.iloc[:,2:3].plot(ax=ax, grid=True, xticks=df.index[::4], rot=45, linestyle=':', color=['#1f77b4'])\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, df.index[::4])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "valued-baseline",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An average shift of -12.89bps between 2024-12 and 2024-11 across maturities\n"
     ]
    }
   ],
   "source": [
    "print('An average shift of {:+.2f}bps between {:%Y-%m} and {:%Y-%m} across maturities'.format(\n",
    "    (df.iloc[:,0]-df.iloc[:,1]).mean() * 10000,\n",
    "    euro_spot_rates.index[-1].date(), euro_spot_rates.index[-2].date()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "sexual-house",
   "metadata": {},
   "outputs": [],
   "source": [
    "year_split = date(2033, 11, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "parliamentary-conflict",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An average shift of -13.36bps between 2024-12 and 2024-11 for maturities up to 2033-11\n"
     ]
    }
   ],
   "source": [
    "print('An average shift of {:+.2f}bps between {:%Y-%m} and {:%Y-%m} for maturities up to {:%Y-%m}'.format(\n",
    "    (df.loc[:year_split,df.columns[0]]-df.loc[:year_split,df.columns[1]]).mean() * 10000,\n",
    "    euro_spot_rates.index[-1].date(), euro_spot_rates.index[-2].date(), year_split))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "fatty-crawford",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An average shift of -12.69bp between 2024-12 and 2024-11 for maturities from 2033-11\n"
     ]
    }
   ],
   "source": [
    "print('An average shift of {:+.2f}bp between {:%Y-%m} and {:%Y-%m} for maturities from {:%Y-%m}'.format(\n",
    "    (df.loc[year_split:,df.columns[0]]-df.loc[year_split:,df.columns[1]]).mean() * 10000,\n",
    "    euro_spot_rates.index[-1].date(), euro_spot_rates.index[-2].date(), year_split))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "technological-convention",
   "metadata": {},
   "outputs": [],
   "source": [
    "offset_in_years = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "acting-mechanics",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average short-term (<3y) riskless yield: 2.19%\n"
     ]
    }
   ],
   "source": [
    "print('Average short-term (<{:d}y) riskless yield: {:.2%}'.format(offset_in_years,\n",
    "    df.loc[:(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)),df.columns[0]].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "damaged-composite",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average long-term (>3y) riskless yield: 2.33%\n"
     ]
    }
   ],
   "source": [
    "print('Average long-term (>{:d}y) riskless yield: {:.2%}'.format(offset_in_years,\n",
    "    df.loc[(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)):,df.columns[0]].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "greek-input",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Long-term (>3y) riskless yield: 1.92%-2.47%\n"
     ]
    }
   ],
   "source": [
    "print('Long-term (>{:d}y) riskless yield: {:.2%}-{:.2%}'.format(offset_in_years,\n",
    "    df.loc[(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)):,df.columns[0]].min(),\n",
    "    df.loc[(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)):,df.columns[0]].max()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "bizarre-mount",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Euro riskless rate   3.1396%\n",
       "dtype: float64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,0:1].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "affiliated-fifth",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Euro riskless rate   1.9087%\n",
       "dtype: float64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,0:1].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "loose-charles",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Euro riskless rate   2027-06-10\n",
       "dtype: datetime64[ns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,0:1].idxmin()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "associate-polish",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(-0.0017023000000000003)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[-1,0]-df.iloc[-1,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d496939-af53-4dcb-94a5-64372eb0a599",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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