{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Riskfolio-Lib Tutorial: \n",
    "<br><a href=\"https://www.kqzyfj.com/click-101360347-15150084?url=https%3A%2F%2Flink.springer.com%2Fbook%2F9783031843037\" target=\"_blank\">\n",
    "<div>\n",
    "<img src=\"https://raw.githubusercontent.com/dcajasn/Riskfolio-Lib/refs/heads/master/docs/source/_static/Button.png\" height=\"40\" />\n",
    "</div>\n",
    "</a>\n",
    "\n",
    "<br><a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "<br>\n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.linkedin.com/company/orenj-i)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "\n",
    "## Tutorial 10: Risk Parity Portfolio Optimization\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  25 of 25 completed\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "# Date range\n",
    "start = '2016-01-01'\n",
    "end = '2019-12-30'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA']\n",
    "assets.sort()\n",
    "\n",
    "# Downloading data\n",
    "data = yf.download(assets, start = start, end = end, auto_adjust=False)\n",
    "data = data.loc[:,('Adj Close', slice(None))]\n",
    "data.columns = assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>-2.0257%</td>\n",
       "      <td>0.4057%</td>\n",
       "      <td>0.4036%</td>\n",
       "      <td>1.9693%</td>\n",
       "      <td>0.0180%</td>\n",
       "      <td>0.9305%</td>\n",
       "      <td>0.3678%</td>\n",
       "      <td>0.5783%</td>\n",
       "      <td>0.9483%</td>\n",
       "      <td>-1.1954%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5881%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>2.8236%</td>\n",
       "      <td>0.9758%</td>\n",
       "      <td>0.6987%</td>\n",
       "      <td>1.7539%</td>\n",
       "      <td>-0.1730%</td>\n",
       "      <td>0.2410%</td>\n",
       "      <td>1.3734%</td>\n",
       "      <td>-1.0858%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>-11.4863%</td>\n",
       "      <td>-1.5879%</td>\n",
       "      <td>0.2411%</td>\n",
       "      <td>-1.7557%</td>\n",
       "      <td>-0.7727%</td>\n",
       "      <td>-1.2473%</td>\n",
       "      <td>-0.1736%</td>\n",
       "      <td>-1.1239%</td>\n",
       "      <td>-3.5867%</td>\n",
       "      <td>-0.9551%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5547%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>0.1592%</td>\n",
       "      <td>-1.5646%</td>\n",
       "      <td>0.3108%</td>\n",
       "      <td>-1.0155%</td>\n",
       "      <td>-0.7653%</td>\n",
       "      <td>-3.0048%</td>\n",
       "      <td>-0.9034%</td>\n",
       "      <td>-2.9145%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>-5.1389%</td>\n",
       "      <td>-4.1922%</td>\n",
       "      <td>-1.6573%</td>\n",
       "      <td>-2.7699%</td>\n",
       "      <td>-1.1047%</td>\n",
       "      <td>-1.9770%</td>\n",
       "      <td>-1.2206%</td>\n",
       "      <td>-0.8855%</td>\n",
       "      <td>-4.6058%</td>\n",
       "      <td>-2.5394%</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.2066%</td>\n",
       "      <td>-3.0310%</td>\n",
       "      <td>-1.0410%</td>\n",
       "      <td>-3.1557%</td>\n",
       "      <td>-1.6148%</td>\n",
       "      <td>-0.2700%</td>\n",
       "      <td>-2.2844%</td>\n",
       "      <td>-2.0570%</td>\n",
       "      <td>-0.5492%</td>\n",
       "      <td>-3.0019%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>0.2736%</td>\n",
       "      <td>-2.2705%</td>\n",
       "      <td>-1.6037%</td>\n",
       "      <td>-2.5425%</td>\n",
       "      <td>0.1098%</td>\n",
       "      <td>-0.2240%</td>\n",
       "      <td>0.5707%</td>\n",
       "      <td>-1.6402%</td>\n",
       "      <td>-1.7642%</td>\n",
       "      <td>-0.1649%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1538%</td>\n",
       "      <td>-1.1366%</td>\n",
       "      <td>-0.7308%</td>\n",
       "      <td>-0.1448%</td>\n",
       "      <td>0.0895%</td>\n",
       "      <td>-3.3839%</td>\n",
       "      <td>-0.1117%</td>\n",
       "      <td>-1.1387%</td>\n",
       "      <td>-0.9719%</td>\n",
       "      <td>-1.1254%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>-4.3383%</td>\n",
       "      <td>0.1692%</td>\n",
       "      <td>-1.6851%</td>\n",
       "      <td>-1.0215%</td>\n",
       "      <td>0.0915%</td>\n",
       "      <td>-1.1792%</td>\n",
       "      <td>0.5674%</td>\n",
       "      <td>0.5287%</td>\n",
       "      <td>0.6616%</td>\n",
       "      <td>0.0330%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.6436%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.9869%</td>\n",
       "      <td>-0.1450%</td>\n",
       "      <td>1.2224%</td>\n",
       "      <td>1.4569%</td>\n",
       "      <td>0.5367%</td>\n",
       "      <td>-0.4607%</td>\n",
       "      <td>0.5800%</td>\n",
       "      <td>-1.9919%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 APA       BA      BAX      BMY    CMCSA      CNP      CPB  \\\n",
       "Date                                                                         \n",
       "2016-01-05  -2.0257%  0.4057%  0.4036%  1.9693%  0.0180%  0.9305%  0.3678%   \n",
       "2016-01-06 -11.4863% -1.5879%  0.2411% -1.7557% -0.7727% -1.2473% -0.1736%   \n",
       "2016-01-07  -5.1389% -4.1922% -1.6573% -2.7699% -1.1047% -1.9770% -1.2206%   \n",
       "2016-01-08   0.2736% -2.2705% -1.6037% -2.5425%  0.1098% -0.2240%  0.5707%   \n",
       "2016-01-11  -4.3383%  0.1692% -1.6851% -1.0215%  0.0915% -1.1792%  0.5674%   \n",
       "\n",
       "                 DE      HPQ      JCI  ...       NI     PCAR      PSA  \\\n",
       "Date                                   ...                              \n",
       "2016-01-05  0.5783%  0.9483% -1.1954%  ...  1.5881%  0.0212%  2.8236%   \n",
       "2016-01-06 -1.1239% -3.5867% -0.9551%  ...  0.5547%  0.0212%  0.1592%   \n",
       "2016-01-07 -0.8855% -4.6058% -2.5394%  ... -2.2066% -3.0310% -1.0410%   \n",
       "2016-01-08 -1.6402% -1.7642% -0.1649%  ... -0.1538% -1.1366% -0.7308%   \n",
       "2016-01-11  0.5287%  0.6616%  0.0330%  ...  1.6436%  0.0000%  0.9869%   \n",
       "\n",
       "                SEE        T      TGT      TMO      TXT       VZ     ZION  \n",
       "Date                                                                       \n",
       "2016-01-05  0.9758%  0.6987%  1.7539% -0.1730%  0.2410%  1.3734% -1.0858%  \n",
       "2016-01-06 -1.5646%  0.3108% -1.0155% -0.7653% -3.0048% -0.9034% -2.9145%  \n",
       "2016-01-07 -3.1557% -1.6148% -0.2700% -2.2844% -2.0570% -0.5492% -3.0019%  \n",
       "2016-01-08 -0.1448%  0.0895% -3.3839% -0.1117% -1.1387% -0.9719% -1.1254%  \n",
       "2016-01-11 -0.1450%  1.2224%  1.4569%  0.5367% -0.4607%  0.5800% -1.9919%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating returns\n",
    "\n",
    "Y = data[assets].pct_change().dropna()\n",
    "\n",
    "display(Y.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Estimating Mean Variance Portfolios\n",
    "\n",
    "### 2.1 Calculating the portfolio that maximizes Sharpe ratio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\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>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>6.1590%</td>\n",
       "      <td>11.5019%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>8.4806%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>3.8193%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>10.8264%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.1804%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>4.2740%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA      BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 0.0000% 6.1590% 11.5019% 0.0000% 0.0000% 8.4806% 0.0000% 3.8193%   \n",
       "\n",
       "            HPQ     JCI  ...       NI    PCAR     PSA     SEE       T     TGT  \\\n",
       "weights 0.0000% 0.0000%  ... 10.8264% 0.0000% 0.0000% 0.0000% 0.0000% 7.1804%   \n",
       "\n",
       "            TMO     TXT      VZ    ZION  \n",
       "weights 0.0000% 0.0000% 4.2740% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio as rp\n",
    "\n",
    "# Building the portfolio object\n",
    "port = rp.Portfolio(returns=Y)\n",
    "\n",
    "# Calculating optimal portfolio\n",
    "\n",
    "# Select method and estimate input parameters:\n",
    "\n",
    "method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "method_cov='hist' # Method to estimate covariance matrix based on historical data.\n",
    "\n",
    "port.assets_stats(method_mu=method_mu, method_cov=method_cov)\n",
    "\n",
    "# Estimate optimal portfolio:\n",
    "\n",
    "model='Classic' # Could be Classic (historical), BL (Black Litterman) or FM (Factor Model)\n",
    "rm = 'MV' # Risk measure used, this time will be variance\n",
    "obj = 'Sharpe' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "hist = True # Use historical scenarios for risk measures that depend on scenarios\n",
    "rf = 0 # Risk free rate\n",
    "l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = rp.plot_pie(w=w, title='Sharpe Mean Variance', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                 height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Plotting Risk Composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the risk composition of the portfolio\n",
    "\n",
    "ax = rp.plot_risk_con(w, cov=port.cov, returns=port.returns, rm=rm, rf=0, alpha=0.01,\n",
    "                      color=\"tab:blue\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Estimating Risk Parity Portfolios for Other Risk Measures\n",
    "\n",
    "In this part I will calculate risk parity portfolios. First I'm going to calculate risk parity portfolio when we use variance as risk measure, then I'm going to calculate the risk parity portfolios for all available risk measures.\n",
    "\n",
    "### 3.1 Calculating the risk parity portfolio for variance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>6.1590%</td>\n",
       "      <td>11.5019%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>8.4806%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>3.8193%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>10.8264%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.1804%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>4.2740%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA      BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 0.0000% 6.1590% 11.5019% 0.0000% 0.0000% 8.4806% 0.0000% 3.8193%   \n",
       "\n",
       "            HPQ     JCI  ...       NI    PCAR     PSA     SEE       T     TGT  \\\n",
       "weights 0.0000% 0.0000%  ... 10.8264% 0.0000% 0.0000% 0.0000% 0.0000% 7.1804%   \n",
       "\n",
       "            TMO     TXT      VZ    ZION  \n",
       "weights 0.0000% 0.0000% 4.2740% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "b = None # Risk contribution constraints vector\n",
    "\n",
    "w_rp = port.rp_optimization(model=model, rm=rm, rf=rf, b=b, hist=hist)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = rp.plot_pie(w=w_rp, title='Risk Parity Variance', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                 height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3  Plotting Risk Composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = rp.plot_risk_con(w_rp, cov=port.cov, returns=port.returns, rm=rm, rf=0, alpha=0.01,\n",
    "                      color=\"tab:blue\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.4 Calculate Optimal Portfolios for Several Risk Measures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Risk Measures available:\n",
    "#\n",
    "# 'MV': Standard Deviation.\n",
    "# 'MAD': Mean Absolute Deviation.\n",
    "# 'MSV': Semi Standard Deviation.\n",
    "# 'FLPM': First Lower Partial Moment (Omega Ratio).\n",
    "# 'SLPM': Second Lower Partial Moment (Sortino Ratio).\n",
    "# 'CVaR': Conditional Value at Risk.\n",
    "# 'EVaR': Entropic Value at Risk.\n",
    "# 'CDaR': Conditional Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'EDaR': Entropic Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'UCI': Ulcer Index of uncompounded cumulative returns.\n",
    "\n",
    "rms = ['MV', 'MAD', 'MSV', 'FLPM', 'SLPM', 'CVaR',\n",
    "       'EVaR', 'CDaR', 'UCI', 'EDaR']\n",
    "\n",
    "w_s = pd.DataFrame([])\n",
    "port.solvers = ['MOSEK']\n",
    "\n",
    "for i in rms:\n",
    "    w = port.rp_optimization(model=model, rm=i, rf=rf, b=b, hist=hist)\n",
    "    w_s = pd.concat([w_s, w], axis=1)\n",
    "    \n",
    "w_s.columns = rms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "#T_6b701_row5_col1 {\n",
       "  background-color: #39a056;\n",
       "  color: #f1f1f1;\n",
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       "#T_6b701_row5_col3, #T_6b701_row13_col0, #T_6b701_row23_col0 {\n",
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       "}\n",
       "#T_6b701_row5_col4 {\n",
       "  background-color: #43ac5e;\n",
       "  color: #f1f1f1;\n",
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       "#T_6b701_row5_col5 {\n",
       "  background-color: #55b567;\n",
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       "#T_6b701_row5_col6 {\n",
       "  background-color: #5fba6c;\n",
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       "#T_6b701_row5_col7, #T_6b701_row6_col3 {\n",
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       "  background-color: #88cd7f;\n",
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       "  background-color: #2e924c;\n",
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       "#T_6b701_row6_col0 {\n",
       "  background-color: #4ab062;\n",
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       "#T_6b701_row6_col1, #T_6b701_row23_col7 {\n",
       "  background-color: #66bd70;\n",
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       "  background-color: #379e54;\n",
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       "#T_6b701_row6_col4, #T_6b701_row23_col1 {\n",
       "  background-color: #31974f;\n",
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       "#T_6b701_row6_col5 {\n",
       "  background-color: #11753d;\n",
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       "#T_6b701_row6_col6, #T_6b701_row15_col1, #T_6b701_row15_col3, #T_6b701_row17_col0, #T_6b701_row17_col2, #T_6b701_row17_col4, #T_6b701_row17_col5, #T_6b701_row17_col7, #T_6b701_row17_col8, #T_6b701_row17_col9 {\n",
       "  background-color: #004529;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row7_col1 {\n",
       "  background-color: #e8f6ae;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row7_col2, #T_6b701_row22_col6 {\n",
       "  background-color: #fafdc8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row7_col3, #T_6b701_row10_col0, #T_6b701_row21_col4 {\n",
       "  background-color: #e2f4aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row7_col4, #T_6b701_row8_col7, #T_6b701_row9_col6, #T_6b701_row18_col9 {\n",
       "  background-color: #f8fcbd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row7_col5, #T_6b701_row10_col6, #T_6b701_row22_col4 {\n",
       "  background-color: #fafdcb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row7_col6, #T_6b701_row22_col5 {\n",
       "  background-color: #fcfed3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row7_col7, #T_6b701_row12_col6 {\n",
       "  background-color: #bde496;\n",
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       "}\n",
       "#T_6b701_row7_col8 {\n",
       "  background-color: #97d385;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row8_col0, #T_6b701_row13_col9, #T_6b701_row24_col4 {\n",
       "  background-color: #f9fdc4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row8_col1, #T_6b701_row11_col2, #T_6b701_row19_col9 {\n",
       "  background-color: #ecf7b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row8_col2, #T_6b701_row22_col9, #T_6b701_row24_col5 {\n",
       "  background-color: #fdfedb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row8_col3, #T_6b701_row10_col2, #T_6b701_row18_col4, #T_6b701_row18_col6, #T_6b701_row21_col2 {\n",
       "  background-color: #ebf7b0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row8_col8 {\n",
       "  background-color: #f2fab5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row8_col9 {\n",
       "  background-color: #f7fcbc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row9_col0 {\n",
       "  background-color: #d2eda0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row9_col1 {\n",
       "  background-color: #c7e89a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row9_col2, #T_6b701_row11_col0, #T_6b701_row21_col0, #T_6b701_row24_col1 {\n",
       "  background-color: #def2a7;\n",
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       "  background-color: #daf0a4;\n",
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       "}\n",
       "#T_6b701_row9_col5, #T_6b701_row18_col2 {\n",
       "  background-color: #eaf7af;\n",
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       "  background-color: #fbfed0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row9_col9, #T_6b701_row16_col8 {\n",
       "  background-color: #fafdc9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row10_col1 {\n",
       "  background-color: #bae394;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row10_col3 {\n",
       "  background-color: #acdd8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row10_col4, #T_6b701_row10_col7 {\n",
       "  background-color: #e3f4aa;\n",
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       "#T_6b701_row10_col5, #T_6b701_row16_col2, #T_6b701_row21_col6 {\n",
       "  background-color: #f8fcbe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row10_col8 {\n",
       "  background-color: #d5eea1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row10_col9, #T_6b701_row11_col4, #T_6b701_row19_col7 {\n",
       "  background-color: #e9f6af;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row11_col1, #T_6b701_row13_col6, #T_6b701_row19_col6 {\n",
       "  background-color: #d3eda0;\n",
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       "#T_6b701_row11_col3, #T_6b701_row18_col3 {\n",
       "  background-color: #dff3a8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row12_col0 {\n",
       "  background-color: #8ed082;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row12_col1, #T_6b701_row15_col8, #T_6b701_row20_col6 {\n",
       "  background-color: #58b669;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row12_col2, #T_6b701_row15_col7 {\n",
       "  background-color: #abdc8d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row12_col3 {\n",
       "  background-color: #49af61;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row12_col4, #T_6b701_row20_col5 {\n",
       "  background-color: #95d385;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row12_col5 {\n",
       "  background-color: #c5e89a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row12_col8 {\n",
       "  background-color: #62bb6e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row12_col9, #T_6b701_row20_col2 {\n",
       "  background-color: #b6e192;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row13_col1 {\n",
       "  background-color: #3ba358;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row13_col2 {\n",
       "  background-color: #70c275;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row13_col4 {\n",
       "  background-color: #72c376;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row13_col7, #T_6b701_row14_col6 {\n",
       "  background-color: #f9fdc5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row14_col0 {\n",
       "  background-color: #e7f6ad;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row14_col1, #T_6b701_row15_col9 {\n",
       "  background-color: #a7db8c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row14_col2 {\n",
       "  background-color: #f0f9b4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row14_col3 {\n",
       "  background-color: #8bce81;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row14_col4 {\n",
       "  background-color: #e6f5ac;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row14_col7 {\n",
       "  background-color: #a2d88a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row14_col8 {\n",
       "  background-color: #0e743c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row14_col9, #T_6b701_row24_col8 {\n",
       "  background-color: #c9e99c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row15_col0 {\n",
       "  background-color: #005931;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row15_col2 {\n",
       "  background-color: #036b38;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row15_col4 {\n",
       "  background-color: #005a31;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row15_col5 {\n",
       "  background-color: #1d7f41;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row15_col6 {\n",
       "  background-color: #268846;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row16_col0, #T_6b701_row22_col3 {\n",
       "  background-color: #f6fcb8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row16_col6, #T_6b701_row20_col8 {\n",
       "  background-color: #f8fcc0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row17_col1 {\n",
       "  background-color: #00542f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row17_col3 {\n",
       "  background-color: #1f8142;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row17_col6 {\n",
       "  background-color: #359c53;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row18_col5, #T_6b701_row24_col7 {\n",
       "  background-color: #edf8b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row18_col7 {\n",
       "  background-color: #fbfdcf;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row19_col0 {\n",
       "  background-color: #7cc87b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row19_col1 {\n",
       "  background-color: #64bc6f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row19_col2 {\n",
       "  background-color: #a4d98a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row19_col3 {\n",
       "  background-color: #77c679;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row19_col4 {\n",
       "  background-color: #9ad587;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row19_col5, #T_6b701_row21_col3 {\n",
       "  background-color: #b8e293;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row19_col8 {\n",
       "  background-color: #dbf1a4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row20_col3 {\n",
       "  background-color: #aedd8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row20_col4 {\n",
       "  background-color: #9fd788;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row21_col1 {\n",
       "  background-color: #c0e597;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row21_col5 {\n",
       "  background-color: #f7fcb9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row21_col7, #T_6b701_row23_col6 {\n",
       "  background-color: #cfec9e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row22_col1 {\n",
       "  background-color: #edf8b2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row22_col2, #T_6b701_row24_col2 {\n",
       "  background-color: #fafdcc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row22_col7 {\n",
       "  background-color: #fdfeda;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row23_col2 {\n",
       "  background-color: #61bb6d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row23_col3 {\n",
       "  background-color: #3da559;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row23_col4 {\n",
       "  background-color: #51b365;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row23_col5 {\n",
       "  background-color: #4fb264;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6b701_row23_col8 {\n",
       "  background-color: #69bf72;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6b701_row23_col9 {\n",
       "  background-color: #006837;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_6b701\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_6b701_level0_col0\" class=\"col_heading level0 col0\" >MV</th>\n",
       "      <th id=\"T_6b701_level0_col1\" class=\"col_heading level0 col1\" >MAD</th>\n",
       "      <th id=\"T_6b701_level0_col2\" class=\"col_heading level0 col2\" >MSV</th>\n",
       "      <th id=\"T_6b701_level0_col3\" class=\"col_heading level0 col3\" >FLPM</th>\n",
       "      <th id=\"T_6b701_level0_col4\" class=\"col_heading level0 col4\" >SLPM</th>\n",
       "      <th id=\"T_6b701_level0_col5\" class=\"col_heading level0 col5\" >CVaR</th>\n",
       "      <th id=\"T_6b701_level0_col6\" class=\"col_heading level0 col6\" >EVaR</th>\n",
       "      <th id=\"T_6b701_level0_col7\" class=\"col_heading level0 col7\" >CDaR</th>\n",
       "      <th id=\"T_6b701_level0_col8\" class=\"col_heading level0 col8\" >UCI</th>\n",
       "      <th id=\"T_6b701_level0_col9\" class=\"col_heading level0 col9\" >EDaR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row0\" class=\"row_heading level0 row0\" >APA</th>\n",
       "      <td id=\"T_6b701_row0_col0\" class=\"data row0 col0\" >2.40%</td>\n",
       "      <td id=\"T_6b701_row0_col1\" class=\"data row0 col1\" >2.20%</td>\n",
       "      <td id=\"T_6b701_row0_col2\" class=\"data row0 col2\" >2.51%</td>\n",
       "      <td id=\"T_6b701_row0_col3\" class=\"data row0 col3\" >2.03%</td>\n",
       "      <td id=\"T_6b701_row0_col4\" class=\"data row0 col4\" >2.40%</td>\n",
       "      <td id=\"T_6b701_row0_col5\" class=\"data row0 col5\" >2.45%</td>\n",
       "      <td id=\"T_6b701_row0_col6\" class=\"data row0 col6\" >2.80%</td>\n",
       "      <td id=\"T_6b701_row0_col7\" class=\"data row0 col7\" >1.16%</td>\n",
       "      <td id=\"T_6b701_row0_col8\" class=\"data row0 col8\" >1.16%</td>\n",
       "      <td id=\"T_6b701_row0_col9\" class=\"data row0 col9\" >1.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row1\" class=\"row_heading level0 row1\" >BA</th>\n",
       "      <td id=\"T_6b701_row1_col0\" class=\"data row1 col0\" >3.08%</td>\n",
       "      <td id=\"T_6b701_row1_col1\" class=\"data row1 col1\" >3.22%</td>\n",
       "      <td id=\"T_6b701_row1_col2\" class=\"data row1 col2\" >2.99%</td>\n",
       "      <td id=\"T_6b701_row1_col3\" class=\"data row1 col3\" >3.30%</td>\n",
       "      <td id=\"T_6b701_row1_col4\" class=\"data row1 col4\" >3.04%</td>\n",
       "      <td id=\"T_6b701_row1_col5\" class=\"data row1 col5\" >2.87%</td>\n",
       "      <td id=\"T_6b701_row1_col6\" class=\"data row1 col6\" >2.76%</td>\n",
       "      <td id=\"T_6b701_row1_col7\" class=\"data row1 col7\" >6.48%</td>\n",
       "      <td id=\"T_6b701_row1_col8\" class=\"data row1 col8\" >6.10%</td>\n",
       "      <td id=\"T_6b701_row1_col9\" class=\"data row1 col9\" >4.23%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row2\" class=\"row_heading level0 row2\" >BAX</th>\n",
       "      <td id=\"T_6b701_row2_col0\" class=\"data row2 col0\" >4.03%</td>\n",
       "      <td id=\"T_6b701_row2_col1\" class=\"data row2 col1\" >4.40%</td>\n",
       "      <td id=\"T_6b701_row2_col2\" class=\"data row2 col2\" >3.93%</td>\n",
       "      <td id=\"T_6b701_row2_col3\" class=\"data row2 col3\" >4.64%</td>\n",
       "      <td id=\"T_6b701_row2_col4\" class=\"data row2 col4\" >4.02%</td>\n",
       "      <td id=\"T_6b701_row2_col5\" class=\"data row2 col5\" >3.77%</td>\n",
       "      <td id=\"T_6b701_row2_col6\" class=\"data row2 col6\" >3.49%</td>\n",
       "      <td id=\"T_6b701_row2_col7\" class=\"data row2 col7\" >2.67%</td>\n",
       "      <td id=\"T_6b701_row2_col8\" class=\"data row2 col8\" >3.41%</td>\n",
       "      <td id=\"T_6b701_row2_col9\" class=\"data row2 col9\" >2.69%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row3\" class=\"row_heading level0 row3\" >BMY</th>\n",
       "      <td id=\"T_6b701_row3_col0\" class=\"data row3 col0\" >4.12%</td>\n",
       "      <td id=\"T_6b701_row3_col1\" class=\"data row3 col1\" >4.24%</td>\n",
       "      <td id=\"T_6b701_row3_col2\" class=\"data row3 col2\" >4.19%</td>\n",
       "      <td id=\"T_6b701_row3_col3\" class=\"data row3 col3\" >4.07%</td>\n",
       "      <td id=\"T_6b701_row3_col4\" class=\"data row3 col4\" >4.07%</td>\n",
       "      <td id=\"T_6b701_row3_col5\" class=\"data row3 col5\" >3.83%</td>\n",
       "      <td id=\"T_6b701_row3_col6\" class=\"data row3 col6\" >4.67%</td>\n",
       "      <td id=\"T_6b701_row3_col7\" class=\"data row3 col7\" >2.01%</td>\n",
       "      <td id=\"T_6b701_row3_col8\" class=\"data row3 col8\" >1.59%</td>\n",
       "      <td id=\"T_6b701_row3_col9\" class=\"data row3 col9\" >2.24%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row4\" class=\"row_heading level0 row4\" >CMCSA</th>\n",
       "      <td id=\"T_6b701_row4_col0\" class=\"data row4 col0\" >3.89%</td>\n",
       "      <td id=\"T_6b701_row4_col1\" class=\"data row4 col1\" >4.01%</td>\n",
       "      <td id=\"T_6b701_row4_col2\" class=\"data row4 col2\" >3.89%</td>\n",
       "      <td id=\"T_6b701_row4_col3\" class=\"data row4 col3\" >3.86%</td>\n",
       "      <td id=\"T_6b701_row4_col4\" class=\"data row4 col4\" >3.90%</td>\n",
       "      <td id=\"T_6b701_row4_col5\" class=\"data row4 col5\" >3.72%</td>\n",
       "      <td id=\"T_6b701_row4_col6\" class=\"data row4 col6\" >3.52%</td>\n",
       "      <td id=\"T_6b701_row4_col7\" class=\"data row4 col7\" >2.66%</td>\n",
       "      <td id=\"T_6b701_row4_col8\" class=\"data row4 col8\" >2.52%</td>\n",
       "      <td id=\"T_6b701_row4_col9\" class=\"data row4 col9\" >3.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row5\" class=\"row_heading level0 row5\" >CNP</th>\n",
       "      <td id=\"T_6b701_row5_col0\" class=\"data row5 col0\" >5.20%</td>\n",
       "      <td id=\"T_6b701_row5_col1\" class=\"data row5 col1\" >5.06%</td>\n",
       "      <td id=\"T_6b701_row5_col2\" class=\"data row5 col2\" >5.22%</td>\n",
       "      <td id=\"T_6b701_row5_col3\" class=\"data row5 col3\" >5.11%</td>\n",
       "      <td id=\"T_6b701_row5_col4\" class=\"data row5 col4\" >5.34%</td>\n",
       "      <td id=\"T_6b701_row5_col5\" class=\"data row5 col5\" >5.63%</td>\n",
       "      <td id=\"T_6b701_row5_col6\" class=\"data row5 col6\" >5.50%</td>\n",
       "      <td id=\"T_6b701_row5_col7\" class=\"data row5 col7\" >7.25%</td>\n",
       "      <td id=\"T_6b701_row5_col8\" class=\"data row5 col8\" >5.67%</td>\n",
       "      <td id=\"T_6b701_row5_col9\" class=\"data row5 col9\" >9.14%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row6\" class=\"row_heading level0 row6\" >CPB</th>\n",
       "      <td id=\"T_6b701_row6_col0\" class=\"data row6 col0\" >5.10%</td>\n",
       "      <td id=\"T_6b701_row6_col1\" class=\"data row6 col1\" >4.54%</td>\n",
       "      <td id=\"T_6b701_row6_col2\" class=\"data row6 col2\" >5.69%</td>\n",
       "      <td id=\"T_6b701_row6_col3\" class=\"data row6 col3\" >4.48%</td>\n",
       "      <td id=\"T_6b701_row6_col4\" class=\"data row6 col4\" >5.66%</td>\n",
       "      <td id=\"T_6b701_row6_col5\" class=\"data row6 col5\" >6.94%</td>\n",
       "      <td id=\"T_6b701_row6_col6\" class=\"data row6 col6\" >7.73%</td>\n",
       "      <td id=\"T_6b701_row6_col7\" class=\"data row6 col7\" >2.83%</td>\n",
       "      <td id=\"T_6b701_row6_col8\" class=\"data row6 col8\" >2.51%</td>\n",
       "      <td id=\"T_6b701_row6_col9\" class=\"data row6 col9\" >2.64%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row7\" class=\"row_heading level0 row7\" >DE</th>\n",
       "      <td id=\"T_6b701_row7_col0\" class=\"data row7 col0\" >3.04%</td>\n",
       "      <td id=\"T_6b701_row7_col1\" class=\"data row7 col1\" >3.02%</td>\n",
       "      <td id=\"T_6b701_row7_col2\" class=\"data row7 col2\" >2.91%</td>\n",
       "      <td id=\"T_6b701_row7_col3\" class=\"data row7 col3\" >3.08%</td>\n",
       "      <td id=\"T_6b701_row7_col4\" class=\"data row7 col4\" >2.94%</td>\n",
       "      <td id=\"T_6b701_row7_col5\" class=\"data row7 col5\" >2.79%</td>\n",
       "      <td id=\"T_6b701_row7_col6\" class=\"data row7 col6\" >2.95%</td>\n",
       "      <td id=\"T_6b701_row7_col7\" class=\"data row7 col7\" >5.21%</td>\n",
       "      <td id=\"T_6b701_row7_col8\" class=\"data row7 col8\" >5.33%</td>\n",
       "      <td id=\"T_6b701_row7_col9\" class=\"data row7 col9\" >7.12%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row8\" class=\"row_heading level0 row8\" >HPQ</th>\n",
       "      <td id=\"T_6b701_row8_col0\" class=\"data row8 col0\" >2.83%</td>\n",
       "      <td id=\"T_6b701_row8_col1\" class=\"data row8 col1\" >2.95%</td>\n",
       "      <td id=\"T_6b701_row8_col2\" class=\"data row8 col2\" >2.64%</td>\n",
       "      <td id=\"T_6b701_row8_col3\" class=\"data row8 col3\" >2.91%</td>\n",
       "      <td id=\"T_6b701_row8_col4\" class=\"data row8 col4\" >2.62%</td>\n",
       "      <td id=\"T_6b701_row8_col5\" class=\"data row8 col5\" >2.36%</td>\n",
       "      <td id=\"T_6b701_row8_col6\" class=\"data row8 col6\" >2.69%</td>\n",
       "      <td id=\"T_6b701_row8_col7\" class=\"data row8 col7\" >2.57%</td>\n",
       "      <td id=\"T_6b701_row8_col8\" class=\"data row8 col8\" >2.57%</td>\n",
       "      <td id=\"T_6b701_row8_col9\" class=\"data row8 col9\" >2.43%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row9\" class=\"row_heading level0 row9\" >JCI</th>\n",
       "      <td id=\"T_6b701_row9_col0\" class=\"data row9 col0\" >3.61%</td>\n",
       "      <td id=\"T_6b701_row9_col1\" class=\"data row9 col1\" >3.51%</td>\n",
       "      <td id=\"T_6b701_row9_col2\" class=\"data row9 col2\" >3.60%</td>\n",
       "      <td id=\"T_6b701_row9_col3\" class=\"data row9 col3\" >3.50%</td>\n",
       "      <td id=\"T_6b701_row9_col4\" class=\"data row9 col4\" >3.58%</td>\n",
       "      <td id=\"T_6b701_row9_col5\" class=\"data row9 col5\" >3.37%</td>\n",
       "      <td id=\"T_6b701_row9_col6\" class=\"data row9 col6\" >3.27%</td>\n",
       "      <td id=\"T_6b701_row9_col7\" class=\"data row9 col7\" >1.90%</td>\n",
       "      <td id=\"T_6b701_row9_col8\" class=\"data row9 col8\" >2.03%</td>\n",
       "      <td id=\"T_6b701_row9_col9\" class=\"data row9 col9\" >1.97%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row10\" class=\"row_heading level0 row10\" >JPM</th>\n",
       "      <td id=\"T_6b701_row10_col0\" class=\"data row10 col0\" >3.35%</td>\n",
       "      <td id=\"T_6b701_row10_col1\" class=\"data row10 col1\" >3.67%</td>\n",
       "      <td id=\"T_6b701_row10_col2\" class=\"data row10 col2\" >3.35%</td>\n",
       "      <td id=\"T_6b701_row10_col3\" class=\"data row10 col3\" >3.89%</td>\n",
       "      <td id=\"T_6b701_row10_col4\" class=\"data row10 col4\" >3.40%</td>\n",
       "      <td id=\"T_6b701_row10_col5\" class=\"data row10 col5\" >2.99%</td>\n",
       "      <td id=\"T_6b701_row10_col6\" class=\"data row10 col6\" >3.08%</td>\n",
       "      <td id=\"T_6b701_row10_col7\" class=\"data row10 col7\" >3.70%</td>\n",
       "      <td id=\"T_6b701_row10_col8\" class=\"data row10 col8\" >3.75%</td>\n",
       "      <td id=\"T_6b701_row10_col9\" class=\"data row10 col9\" >3.17%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row11\" class=\"row_heading level0 row11\" >LUV</th>\n",
       "      <td id=\"T_6b701_row11_col0\" class=\"data row11 col0\" >3.42%</td>\n",
       "      <td id=\"T_6b701_row11_col1\" class=\"data row11 col1\" >3.37%</td>\n",
       "      <td id=\"T_6b701_row11_col2\" class=\"data row11 col2\" >3.33%</td>\n",
       "      <td id=\"T_6b701_row11_col3\" class=\"data row11 col3\" >3.13%</td>\n",
       "      <td id=\"T_6b701_row11_col4\" class=\"data row11 col4\" >3.28%</td>\n",
       "      <td id=\"T_6b701_row11_col5\" class=\"data row11 col5\" >2.92%</td>\n",
       "      <td id=\"T_6b701_row11_col6\" class=\"data row11 col6\" >3.80%</td>\n",
       "      <td id=\"T_6b701_row11_col7\" class=\"data row11 col7\" >1.98%</td>\n",
       "      <td id=\"T_6b701_row11_col8\" class=\"data row11 col8\" >1.82%</td>\n",
       "      <td id=\"T_6b701_row11_col9\" class=\"data row11 col9\" >1.76%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row12\" class=\"row_heading level0 row12\" >MMC</th>\n",
       "      <td id=\"T_6b701_row12_col0\" class=\"data row12 col0\" >4.41%</td>\n",
       "      <td id=\"T_6b701_row12_col1\" class=\"data row12 col1\" >4.69%</td>\n",
       "      <td id=\"T_6b701_row12_col2\" class=\"data row12 col2\" >4.33%</td>\n",
       "      <td id=\"T_6b701_row12_col3\" class=\"data row12 col3\" >5.03%</td>\n",
       "      <td id=\"T_6b701_row12_col4\" class=\"data row12 col4\" >4.44%</td>\n",
       "      <td id=\"T_6b701_row12_col5\" class=\"data row12 col5\" >4.09%</td>\n",
       "      <td id=\"T_6b701_row12_col6\" class=\"data row12 col6\" >4.36%</td>\n",
       "      <td id=\"T_6b701_row12_col7\" class=\"data row12 col7\" >5.64%</td>\n",
       "      <td id=\"T_6b701_row12_col8\" class=\"data row12 col8\" >6.52%</td>\n",
       "      <td id=\"T_6b701_row12_col9\" class=\"data row12 col9\" >5.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row13\" class=\"row_heading level0 row13\" >MO</th>\n",
       "      <td id=\"T_6b701_row13_col0\" class=\"data row13 col0\" >5.18%</td>\n",
       "      <td id=\"T_6b701_row13_col1\" class=\"data row13 col1\" >5.02%</td>\n",
       "      <td id=\"T_6b701_row13_col2\" class=\"data row13 col2\" >4.98%</td>\n",
       "      <td id=\"T_6b701_row13_col3\" class=\"data row13 col3\" >4.82%</td>\n",
       "      <td id=\"T_6b701_row13_col4\" class=\"data row13 col4\" >4.83%</td>\n",
       "      <td id=\"T_6b701_row13_col5\" class=\"data row13 col5\" >5.01%</td>\n",
       "      <td id=\"T_6b701_row13_col6\" class=\"data row13 col6\" >4.04%</td>\n",
       "      <td id=\"T_6b701_row13_col7\" class=\"data row13 col7\" >2.27%</td>\n",
       "      <td id=\"T_6b701_row13_col8\" class=\"data row13 col8\" >2.01%</td>\n",
       "      <td id=\"T_6b701_row13_col9\" class=\"data row13 col9\" >2.14%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row14\" class=\"row_heading level0 row14\" >MSFT</th>\n",
       "      <td id=\"T_6b701_row14_col0\" class=\"data row14 col0\" >3.26%</td>\n",
       "      <td id=\"T_6b701_row14_col1\" class=\"data row14 col1\" >3.88%</td>\n",
       "      <td id=\"T_6b701_row14_col2\" class=\"data row14 col2\" >3.25%</td>\n",
       "      <td id=\"T_6b701_row14_col3\" class=\"data row14 col3\" >4.27%</td>\n",
       "      <td id=\"T_6b701_row14_col4\" class=\"data row14 col4\" >3.34%</td>\n",
       "      <td id=\"T_6b701_row14_col5\" class=\"data row14 col5\" >2.94%</td>\n",
       "      <td id=\"T_6b701_row14_col6\" class=\"data row14 col6\" >3.15%</td>\n",
       "      <td id=\"T_6b701_row14_col7\" class=\"data row14 col7\" >6.07%</td>\n",
       "      <td id=\"T_6b701_row14_col8\" class=\"data row14 col8\" >9.19%</td>\n",
       "      <td id=\"T_6b701_row14_col9\" class=\"data row14 col9\" >4.42%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row15\" class=\"row_heading level0 row15\" >NI</th>\n",
       "      <td id=\"T_6b701_row15_col0\" class=\"data row15 col0\" >6.54%</td>\n",
       "      <td id=\"T_6b701_row15_col1\" class=\"data row15 col1\" >6.54%</td>\n",
       "      <td id=\"T_6b701_row15_col2\" class=\"data row15 col2\" >6.63%</td>\n",
       "      <td id=\"T_6b701_row15_col3\" class=\"data row15 col3\" >6.95%</td>\n",
       "      <td id=\"T_6b701_row15_col4\" class=\"data row15 col4\" >6.77%</td>\n",
       "      <td id=\"T_6b701_row15_col5\" class=\"data row15 col5\" >6.70%</td>\n",
       "      <td id=\"T_6b701_row15_col6\" class=\"data row15 col6\" >6.40%</td>\n",
       "      <td id=\"T_6b701_row15_col7\" class=\"data row15 col7\" >5.80%</td>\n",
       "      <td id=\"T_6b701_row15_col8\" class=\"data row15 col8\" >6.74%</td>\n",
       "      <td id=\"T_6b701_row15_col9\" class=\"data row15 col9\" >5.50%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row16\" class=\"row_heading level0 row16\" >PCAR</th>\n",
       "      <td id=\"T_6b701_row16_col0\" class=\"data row16 col0\" >2.99%</td>\n",
       "      <td id=\"T_6b701_row16_col1\" class=\"data row16 col1\" >2.81%</td>\n",
       "      <td id=\"T_6b701_row16_col2\" class=\"data row16 col2\" >3.04%</td>\n",
       "      <td id=\"T_6b701_row16_col3\" class=\"data row16 col3\" >2.81%</td>\n",
       "      <td id=\"T_6b701_row16_col4\" class=\"data row16 col4\" >3.06%</td>\n",
       "      <td id=\"T_6b701_row16_col5\" class=\"data row16 col5\" >3.25%</td>\n",
       "      <td id=\"T_6b701_row16_col6\" class=\"data row16 col6\" >3.23%</td>\n",
       "      <td id=\"T_6b701_row16_col7\" class=\"data row16 col7\" >1.89%</td>\n",
       "      <td id=\"T_6b701_row16_col8\" class=\"data row16 col8\" >1.92%</td>\n",
       "      <td id=\"T_6b701_row16_col9\" class=\"data row16 col9\" >2.25%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row17\" class=\"row_heading level0 row17\" >PSA</th>\n",
       "      <td id=\"T_6b701_row17_col0\" class=\"data row17 col0\" >6.87%</td>\n",
       "      <td id=\"T_6b701_row17_col1\" class=\"data row17 col1\" >6.29%</td>\n",
       "      <td id=\"T_6b701_row17_col2\" class=\"data row17 col2\" >7.30%</td>\n",
       "      <td id=\"T_6b701_row17_col3\" class=\"data row17 col3\" >5.79%</td>\n",
       "      <td id=\"T_6b701_row17_col4\" class=\"data row17 col4\" >7.14%</td>\n",
       "      <td id=\"T_6b701_row17_col5\" class=\"data row17 col5\" >7.98%</td>\n",
       "      <td id=\"T_6b701_row17_col6\" class=\"data row17 col6\" >6.09%</td>\n",
       "      <td id=\"T_6b701_row17_col7\" class=\"data row17 col7\" >13.37%</td>\n",
       "      <td id=\"T_6b701_row17_col8\" class=\"data row17 col8\" >10.92%</td>\n",
       "      <td id=\"T_6b701_row17_col9\" class=\"data row17 col9\" >12.54%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row18\" class=\"row_heading level0 row18\" >SEE</th>\n",
       "      <td id=\"T_6b701_row18_col0\" class=\"data row18 col0\" >3.54%</td>\n",
       "      <td id=\"T_6b701_row18_col1\" class=\"data row18 col1\" >3.45%</td>\n",
       "      <td id=\"T_6b701_row18_col2\" class=\"data row18 col2\" >3.38%</td>\n",
       "      <td id=\"T_6b701_row18_col3\" class=\"data row18 col3\" >3.14%</td>\n",
       "      <td id=\"T_6b701_row18_col4\" class=\"data row18 col4\" >3.25%</td>\n",
       "      <td id=\"T_6b701_row18_col5\" class=\"data row18 col5\" >3.32%</td>\n",
       "      <td id=\"T_6b701_row18_col6\" class=\"data row18 col6\" >3.58%</td>\n",
       "      <td id=\"T_6b701_row18_col7\" class=\"data row18 col7\" >1.96%</td>\n",
       "      <td id=\"T_6b701_row18_col8\" class=\"data row18 col8\" >1.83%</td>\n",
       "      <td id=\"T_6b701_row18_col9\" class=\"data row18 col9\" >2.36%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row19\" class=\"row_heading level0 row19\" >T</th>\n",
       "      <td id=\"T_6b701_row19_col0\" class=\"data row19 col0\" >4.59%</td>\n",
       "      <td id=\"T_6b701_row19_col1\" class=\"data row19 col1\" >4.56%</td>\n",
       "      <td id=\"T_6b701_row19_col2\" class=\"data row19 col2\" >4.41%</td>\n",
       "      <td id=\"T_6b701_row19_col3\" class=\"data row19 col3\" >4.50%</td>\n",
       "      <td id=\"T_6b701_row19_col4\" class=\"data row19 col4\" >4.39%</td>\n",
       "      <td id=\"T_6b701_row19_col5\" class=\"data row19 col5\" >4.31%</td>\n",
       "      <td id=\"T_6b701_row19_col6\" class=\"data row19 col6\" >4.04%</td>\n",
       "      <td id=\"T_6b701_row19_col7\" class=\"data row19 col7\" >3.43%</td>\n",
       "      <td id=\"T_6b701_row19_col8\" class=\"data row19 col8\" >3.55%</td>\n",
       "      <td id=\"T_6b701_row19_col9\" class=\"data row19 col9\" >3.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row20\" class=\"row_heading level0 row20\" >TGT</th>\n",
       "      <td id=\"T_6b701_row20_col0\" class=\"data row20 col0\" >3.97%</td>\n",
       "      <td id=\"T_6b701_row20_col1\" class=\"data row20 col1\" >3.66%</td>\n",
       "      <td id=\"T_6b701_row20_col2\" class=\"data row20 col2\" >4.19%</td>\n",
       "      <td id=\"T_6b701_row20_col3\" class=\"data row20 col3\" >3.88%</td>\n",
       "      <td id=\"T_6b701_row20_col4\" class=\"data row20 col4\" >4.34%</td>\n",
       "      <td id=\"T_6b701_row20_col5\" class=\"data row20 col5\" >4.80%</td>\n",
       "      <td id=\"T_6b701_row20_col6\" class=\"data row20 col6\" >5.59%</td>\n",
       "      <td id=\"T_6b701_row20_col7\" class=\"data row20 col7\" >2.00%</td>\n",
       "      <td id=\"T_6b701_row20_col8\" class=\"data row20 col8\" >2.22%</td>\n",
       "      <td id=\"T_6b701_row20_col9\" class=\"data row20 col9\" >1.74%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row21\" class=\"row_heading level0 row21\" >TMO</th>\n",
       "      <td id=\"T_6b701_row21_col0\" class=\"data row21 col0\" >3.43%</td>\n",
       "      <td id=\"T_6b701_row21_col1\" class=\"data row21 col1\" >3.60%</td>\n",
       "      <td id=\"T_6b701_row21_col2\" class=\"data row21 col2\" >3.36%</td>\n",
       "      <td id=\"T_6b701_row21_col3\" class=\"data row21 col3\" >3.72%</td>\n",
       "      <td id=\"T_6b701_row21_col4\" class=\"data row21 col4\" >3.41%</td>\n",
       "      <td id=\"T_6b701_row21_col5\" class=\"data row21 col5\" >3.08%</td>\n",
       "      <td id=\"T_6b701_row21_col6\" class=\"data row21 col6\" >3.25%</td>\n",
       "      <td id=\"T_6b701_row21_col7\" class=\"data row21 col7\" >4.57%</td>\n",
       "      <td id=\"T_6b701_row21_col8\" class=\"data row21 col8\" >4.70%</td>\n",
       "      <td id=\"T_6b701_row21_col9\" class=\"data row21 col9\" >4.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row22\" class=\"row_heading level0 row22\" >TXT</th>\n",
       "      <td id=\"T_6b701_row22_col0\" class=\"data row22 col0\" >2.95%</td>\n",
       "      <td id=\"T_6b701_row22_col1\" class=\"data row22 col1\" >2.93%</td>\n",
       "      <td id=\"T_6b701_row22_col2\" class=\"data row22 col2\" >2.86%</td>\n",
       "      <td id=\"T_6b701_row22_col3\" class=\"data row22 col3\" >2.68%</td>\n",
       "      <td id=\"T_6b701_row22_col4\" class=\"data row22 col4\" >2.75%</td>\n",
       "      <td id=\"T_6b701_row22_col5\" class=\"data row22 col5\" >2.66%</td>\n",
       "      <td id=\"T_6b701_row22_col6\" class=\"data row22 col6\" >3.12%</td>\n",
       "      <td id=\"T_6b701_row22_col7\" class=\"data row22 col7\" >1.58%</td>\n",
       "      <td id=\"T_6b701_row22_col8\" class=\"data row22 col8\" >1.58%</td>\n",
       "      <td id=\"T_6b701_row22_col9\" class=\"data row22 col9\" >1.37%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row23\" class=\"row_heading level0 row23\" >VZ</th>\n",
       "      <td id=\"T_6b701_row23_col0\" class=\"data row23 col0\" >5.19%</td>\n",
       "      <td id=\"T_6b701_row23_col1\" class=\"data row23 col1\" >5.19%</td>\n",
       "      <td id=\"T_6b701_row23_col2\" class=\"data row23 col2\" >5.15%</td>\n",
       "      <td id=\"T_6b701_row23_col3\" class=\"data row23 col3\" >5.19%</td>\n",
       "      <td id=\"T_6b701_row23_col4\" class=\"data row23 col4\" >5.19%</td>\n",
       "      <td id=\"T_6b701_row23_col5\" class=\"data row23 col5\" >5.69%</td>\n",
       "      <td id=\"T_6b701_row23_col6\" class=\"data row23 col6\" >4.10%</td>\n",
       "      <td id=\"T_6b701_row23_col7\" class=\"data row23 col7\" >7.75%</td>\n",
       "      <td id=\"T_6b701_row23_col8\" class=\"data row23 col8\" >6.36%</td>\n",
       "      <td id=\"T_6b701_row23_col9\" class=\"data row23 col9\" >11.08%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b701_level0_row24\" class=\"row_heading level0 row24\" >ZION</th>\n",
       "      <td id=\"T_6b701_row24_col0\" class=\"data row24 col0\" >3.00%</td>\n",
       "      <td id=\"T_6b701_row24_col1\" class=\"data row24 col1\" >3.19%</td>\n",
       "      <td id=\"T_6b701_row24_col2\" class=\"data row24 col2\" >2.86%</td>\n",
       "      <td id=\"T_6b701_row24_col3\" class=\"data row24 col3\" >3.21%</td>\n",
       "      <td id=\"T_6b701_row24_col4\" class=\"data row24 col4\" >2.85%</td>\n",
       "      <td id=\"T_6b701_row24_col5\" class=\"data row24 col5\" >2.54%</td>\n",
       "      <td id=\"T_6b701_row24_col6\" class=\"data row24 col6\" >2.79%</td>\n",
       "      <td id=\"T_6b701_row24_col7\" class=\"data row24 col7\" >3.25%</td>\n",
       "      <td id=\"T_6b701_row24_col8\" class=\"data row24 col8\" >4.02%</td>\n",
       "      <td id=\"T_6b701_row24_col9\" class=\"data row24 col9\" >2.47%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x30fabe590>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w_s.style.format(\"{:.2%}\").background_gradient(cmap='YlGn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plotting a comparison of assets weights for each portfolio\n",
    "\n",
    "fig = plt.gcf()\n",
    "fig.set_figwidth(16)\n",
    "fig.set_figheight(6)\n",
    "ax = fig.subplots(nrows=1, ncols=1)\n",
    "\n",
    "w_s.plot.bar(ax=ax)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}