python/notebooks/ch4_shrinkage.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "LaTeX macros (hidden cell)\n",
    "$\n",
    "\\newcommand{\\Q}{\\mathcal{Q}}\n",
    "\\newcommand{\\ECov}{\\boldsymbol{\\Sigma}}\n",
    "\\newcommand{\\EMean}{\\boldsymbol{\\mu}}\n",
    "\\newcommand{\\EAlpha}{\\boldsymbol{\\alpha}}\n",
    "\\newcommand{\\EBeta}{\\boldsymbol{\\beta}}\n",
    "$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Imports and configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "import re\n",
    "import datetime as dt\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LinearSegmentedColormap\n",
    "\n",
    "from mosek.fusion import *\n",
    "import mosek.fusion.pythonic    # Requires MOSEK >= 10.2\n",
    "\n",
    "from notebook.services.config import ConfigManager\n",
    "\n",
    "from portfolio_tools import data_download, DataReader, compute_inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.6.9 (default, Jan 26 2021, 15:33:00) \n",
      "[GCC 8.4.0]\n",
      "matplotlib: 3.3.4\n"
     ]
    }
   ],
   "source": [
    "# Version checks\n",
    "print(sys.version)\n",
    "print('matplotlib: {}'.format(matplotlib.__version__))\n",
    "\n",
    "# Jupyter configuration\n",
    "c = ConfigManager()\n",
    "c.update('notebook', {\"CodeCell\": {\"cm_config\": {\"autoCloseBrackets\": False}}})  \n",
    "\n",
    "# Numpy options\n",
    "np.set_printoptions(precision=5, linewidth=120, suppress=True)\n",
    "\n",
    "# Pandas options\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "# Matplotlib options\n",
    "plt.rcParams['figure.figsize'] = [12, 8]\n",
    "plt.rcParams['figure.dpi'] = 200"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare input data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we load the raw data that will be used to compute the optimization input variables, the vector $\\EMean$ of expected returns and the covariance matrix $\\ECov$. The data consists of daily stock prices of $8$ stocks from the US market. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data downloading:\n",
    "# If the user has an API key for alphavantage.co, then this code part will download the data. \n",
    "# The code can be modified to download from other sources. To be able to run the examples, \n",
    "# and reproduce results in the cookbook, the files have to have the following format and content:\n",
    "# - File name pattern: \"daily_adjusted_[TICKER].csv\", where TICKER is the symbol of a stock. \n",
    "# - The file contains at least columns \"timestamp\", \"adjusted_close\", and \"volume\".\n",
    "# - The data is daily price/volume, covering at least the period from 2016-03-18 until 2021-03-18, \n",
    "# - Files are for the stocks PM, LMT, MCD, MMM, AAPL, MSFT, TXN, CSCO.\n",
    "list_stocks = [\"PM\", \"LMT\", \"MCD\", \"MMM\", \"AAPL\", \"MSFT\", \"TXN\", \"CSCO\"]\n",
    "list_factors = []\n",
    "alphaToken = None\n",
    " \n",
    "list_tickers = list_stocks + list_factors\n",
    "if alphaToken is not None:\n",
    "    data_download(list_tickers, alphaToken)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We load the daily stock price data from the downloaded CSV files. The data is adjusted for splits and dividends. Then a selected time period is taken from the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "investment_start = \"2016-03-18\"\n",
    "investment_end = \"2021-03-18\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found data files: \n",
      "stock_data/daily_adjusted_AAPL.csv\n",
      "stock_data/daily_adjusted_PM.csv\n",
      "stock_data/daily_adjusted_CSCO.csv\n",
      "stock_data/daily_adjusted_TXN.csv\n",
      "stock_data/daily_adjusted_MMM.csv\n",
      "stock_data/daily_adjusted_IWM.csv\n",
      "stock_data/daily_adjusted_MCD.csv\n",
      "stock_data/daily_adjusted_SPY.csv\n",
      "stock_data/daily_adjusted_MSFT.csv\n",
      "stock_data/daily_adjusted_LMT.csv\n",
      "\n",
      "Using data files: \n",
      "stock_data/daily_adjusted_PM.csv\n",
      "stock_data/daily_adjusted_LMT.csv\n",
      "stock_data/daily_adjusted_MCD.csv\n",
      "stock_data/daily_adjusted_MMM.csv\n",
      "stock_data/daily_adjusted_AAPL.csv\n",
      "stock_data/daily_adjusted_MSFT.csv\n",
      "stock_data/daily_adjusted_TXN.csv\n",
      "stock_data/daily_adjusted_CSCO.csv\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# The files are in \"stock_data\" folder, named as \"daily_adjusted_[TICKER].csv\"\n",
    "dr = DataReader(folder_path=\"stock_data\", symbol_list=list_tickers)\n",
    "dr.read_data()\n",
    "df_prices, _ = dr.get_period(start_date=investment_start, end_date=investment_end)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run the optimization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define the optimization model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below we implement the optimization model in Fusion API. We create it inside a function so we can call it later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def EfficientFrontier(N, m, G, deltas):\n",
    "\n",
    "    with Model(\"Case study\") as M:\n",
    "        # Settings\n",
    "        #M.setLogHandler(sys.stdout)\n",
    "        \n",
    "        # Variables \n",
    "        # The variable x is the fraction of holdings in each security. \n",
    "        # It is restricted to be positive, which imposes the constraint of no short-selling.   \n",
    "        x = M.variable(\"x\", N, Domain.greaterThan(0.0))\n",
    "        \n",
    "        # The variable s models the portfolio variance term in the objective.\n",
    "        s = M.variable(\"s\", 1, Domain.unbounded())\n",
    "    \n",
    "        # Budget constraint\n",
    "        M.constraint('budget', Expr.sum(x) == 1.0)\n",
    "        \n",
    "        # Objective (quadratic utility version)\n",
    "        delta = M.parameter()\n",
    "        M.objective('obj', ObjectiveSense.Maximize, x.T @ m - delta * s)\n",
    "\n",
    "        # Conic constraint for the portfolio variance\n",
    "        M.constraint('risk', Expr.vstack(s, G.T @ x), Domain.inQCone())\n",
    "        \n",
    "        # Create DataFrame to store the results. Last security name (the SPY) is removed.\n",
    "        columns = [\"delta\", \"obj\", \"return\", \"risk\"] + df_prices.columns.tolist()\n",
    "        df_result = pd.DataFrame(columns=columns)\n",
    "        for d in deltas:\n",
    "            # Update parameter\n",
    "            delta.setValue(d);\n",
    "            \n",
    "            # Solve optimization\n",
    "            M.solve()\n",
    "            \n",
    "            # Check if the solution is an optimal point\n",
    "            solsta = M.getPrimalSolutionStatus()\n",
    "            if (solsta != SolutionStatus.Optimal):\n",
    "                # See https://docs.mosek.com/latest/pythonfusion/accessing-solution.html about handling solution statuses.\n",
    "                raise Exception(\"Unexpected solution status!\") \n",
    "            \n",
    "            # Save results\n",
    "            portfolio_return = m @ x.level()\n",
    "            portfolio_risk = s.level()[0]\n",
    "            row = pd.Series([d, M.primalObjValue(), portfolio_return, portfolio_risk] + list(x.level()), index=columns)\n",
    "            df_result = pd.concat([df_result, pd.DataFrame([row])], ignore_index=True)\n",
    "\n",
    "        return df_result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compute optimization input variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we use the loaded daily price data to compute the corresponding yearly mean return and covariance matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Number of securities\n",
    "N = df_prices.shape[1]  \n",
    "\n",
    "# Get optimization parameters\n",
    "m_orig, S_orig = compute_inputs(df_prices, shrinkage=False)\n",
    "m_shrunk, S_shrunk = compute_inputs(df_prices, shrinkage=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we compute the matrix $G$ such that $\\ECov=GG^\\mathsf{T}$, this is the input of the conic form of the optimization problem. Here we use Cholesky factorization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "G_orig = np.linalg.cholesky(S_orig)  \n",
    "G_shrunk = np.linalg.cholesky(S_shrunk)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Call the optimizer function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We run the optimization for a range of risk aversion parameter values: $\\delta = 10^{-1},\\dots,10^{1.5}$. We compute the efficient frontier this way both with and without using shrinkage estimation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Compute efficient frontier with and without shrinkage\n",
    "deltas = np.logspace(start=-1, stop=1.5, num=20)[::-1]\n",
    "df_result_orig = EfficientFrontier(N, m_orig, G_orig, deltas)\n",
    "df_result_shrunk = EfficientFrontier(N, m_shrunk, G_shrunk, deltas)\n",
    "\n",
    "# Set small negatives to zero to make plotting work\n",
    "mask = df_result_orig < 0\n",
    "mask.iloc[:, :-8] = False\n",
    "df_result_orig[mask] = 0\n",
    "\n",
    "# Set small negatives to zero to make plotting work\n",
    "mask = df_result_shrunk < 0\n",
    "mask.iloc[:, :-8] = False\n",
    "df_result_shrunk[mask] = 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check the results without shrinkage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>delta</th>\n",
       "      <th>obj</th>\n",
       "      <th>return</th>\n",
       "      <th>risk</th>\n",
       "      <th>PM</th>\n",
       "      <th>LMT</th>\n",
       "      <th>MCD</th>\n",
       "      <th>MMM</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>TXN</th>\n",
       "      <th>CSCO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>31.622777</td>\n",
       "      <td>-6.271623</td>\n",
       "      <td>0.175479</td>\n",
       "      <td>0.203875</td>\n",
       "      <td>1.028265e-01</td>\n",
       "      <td>1.130694e-01</td>\n",
       "      <td>3.006178e-01</td>\n",
       "      <td>1.649833e-01</td>\n",
       "      <td>1.859269e-09</td>\n",
       "      <td>7.935826e-02</td>\n",
       "      <td>5.704450e-02</td>\n",
       "      <td>1.821003e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23.357215</td>\n",
       "      <td>-4.586052</td>\n",
       "      <td>0.178755</td>\n",
       "      <td>0.203997</td>\n",
       "      <td>9.909669e-02</td>\n",
       "      <td>1.126088e-01</td>\n",
       "      <td>3.000666e-01</td>\n",
       "      <td>1.591047e-01</td>\n",
       "      <td>4.990948e-09</td>\n",
       "      <td>8.752508e-02</td>\n",
       "      <td>6.125147e-02</td>\n",
       "      <td>1.803467e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17.252105</td>\n",
       "      <td>-3.340046</td>\n",
       "      <td>0.183200</td>\n",
       "      <td>0.204221</td>\n",
       "      <td>9.403792e-02</td>\n",
       "      <td>1.119876e-01</td>\n",
       "      <td>2.993067e-01</td>\n",
       "      <td>1.511269e-01</td>\n",
       "      <td>1.573623e-08</td>\n",
       "      <td>9.860880e-02</td>\n",
       "      <td>6.696294e-02</td>\n",
       "      <td>1.779691e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12.742750</td>\n",
       "      <td>-2.418350</td>\n",
       "      <td>0.189246</td>\n",
       "      <td>0.204634</td>\n",
       "      <td>8.715666e-02</td>\n",
       "      <td>1.111420e-01</td>\n",
       "      <td>2.982765e-01</td>\n",
       "      <td>1.402759e-01</td>\n",
       "      <td>1.023495e-08</td>\n",
       "      <td>1.136858e-01</td>\n",
       "      <td>7.473031e-02</td>\n",
       "      <td>1.747329e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9.412050</td>\n",
       "      <td>-1.735700</td>\n",
       "      <td>0.197502</td>\n",
       "      <td>0.205396</td>\n",
       "      <td>7.775956e-02</td>\n",
       "      <td>1.099847e-01</td>\n",
       "      <td>2.968750e-01</td>\n",
       "      <td>1.254593e-01</td>\n",
       "      <td>7.721570e-09</td>\n",
       "      <td>1.342709e-01</td>\n",
       "      <td>8.533623e-02</td>\n",
       "      <td>1.703143e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.951928</td>\n",
       "      <td>-1.228921</td>\n",
       "      <td>0.208856</td>\n",
       "      <td>0.206817</td>\n",
       "      <td>6.483614e-02</td>\n",
       "      <td>1.083978e-01</td>\n",
       "      <td>2.949460e-01</td>\n",
       "      <td>1.050807e-01</td>\n",
       "      <td>2.072306e-08</td>\n",
       "      <td>1.625818e-01</td>\n",
       "      <td>9.991932e-02</td>\n",
       "      <td>1.642383e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5.134833</td>\n",
       "      <td>-0.851059</td>\n",
       "      <td>0.224685</td>\n",
       "      <td>0.209499</td>\n",
       "      <td>4.681659e-02</td>\n",
       "      <td>1.061779e-01</td>\n",
       "      <td>2.922631e-01</td>\n",
       "      <td>7.667409e-02</td>\n",
       "      <td>1.105620e-08</td>\n",
       "      <td>2.020499e-01</td>\n",
       "      <td>1.202504e-01</td>\n",
       "      <td>1.557680e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3.792690</td>\n",
       "      <td>-0.566941</td>\n",
       "      <td>0.247845</td>\n",
       "      <td>0.214831</td>\n",
       "      <td>1.987726e-02</td>\n",
       "      <td>1.033740e-01</td>\n",
       "      <td>2.885322e-01</td>\n",
       "      <td>3.622298e-02</td>\n",
       "      <td>4.707309e-03</td>\n",
       "      <td>2.559452e-01</td>\n",
       "      <td>1.478726e-01</td>\n",
       "      <td>1.434684e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2.801357</td>\n",
       "      <td>-0.349680</td>\n",
       "      <td>0.277674</td>\n",
       "      <td>0.223947</td>\n",
       "      <td>3.664982e-09</td>\n",
       "      <td>9.021648e-02</td>\n",
       "      <td>2.674048e-01</td>\n",
       "      <td>9.155908e-09</td>\n",
       "      <td>2.610527e-02</td>\n",
       "      <td>3.244756e-01</td>\n",
       "      <td>1.773813e-01</td>\n",
       "      <td>1.144165e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2.069138</td>\n",
       "      <td>-0.181326</td>\n",
       "      <td>0.312261</td>\n",
       "      <td>0.238547</td>\n",
       "      <td>2.982481e-09</td>\n",
       "      <td>5.163382e-02</td>\n",
       "      <td>2.062153e-01</td>\n",
       "      <td>2.615126e-10</td>\n",
       "      <td>5.362076e-02</td>\n",
       "      <td>4.289136e-01</td>\n",
       "      <td>2.091390e-01</td>\n",
       "      <td>5.047755e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.528307</td>\n",
       "      <td>-0.045407</td>\n",
       "      <td>0.361694</td>\n",
       "      <td>0.266374</td>\n",
       "      <td>4.009003e-09</td>\n",
       "      <td>2.089985e-07</td>\n",
       "      <td>8.067627e-02</td>\n",
       "      <td>3.986740e-09</td>\n",
       "      <td>9.755740e-02</td>\n",
       "      <td>5.804044e-01</td>\n",
       "      <td>2.413616e-01</td>\n",
       "      <td>5.340562e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1.128838</td>\n",
       "      <td>0.065444</td>\n",
       "      <td>0.384750</td>\n",
       "      <td>0.282863</td>\n",
       "      <td>5.519963e-10</td>\n",
       "      <td>3.570274e-09</td>\n",
       "      <td>4.261622e-09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.486028e-01</td>\n",
       "      <td>6.614851e-01</td>\n",
       "      <td>1.899121e-01</td>\n",
       "      <td>1.702059e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.833782</td>\n",
       "      <td>0.150242</td>\n",
       "      <td>0.395189</td>\n",
       "      <td>0.293778</td>\n",
       "      <td>1.080010e-09</td>\n",
       "      <td>1.517056e-08</td>\n",
       "      <td>1.099099e-08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.138700e-01</td>\n",
       "      <td>7.097808e-01</td>\n",
       "      <td>7.634917e-02</td>\n",
       "      <td>5.430428e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.615848</td>\n",
       "      <td>0.215749</td>\n",
       "      <td>0.403111</td>\n",
       "      <td>0.304233</td>\n",
       "      <td>7.329334e-10</td>\n",
       "      <td>1.595340e-08</td>\n",
       "      <td>1.294185e-09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.828077e-01</td>\n",
       "      <td>7.171919e-01</td>\n",
       "      <td>3.424213e-07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.454878</td>\n",
       "      <td>0.265016</td>\n",
       "      <td>0.405375</td>\n",
       "      <td>0.308566</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.240693e-09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>3.456455e-01</td>\n",
       "      <td>6.543544e-01</td>\n",
       "      <td>3.395459e-08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.335982</td>\n",
       "      <td>0.302123</td>\n",
       "      <td>0.408638</td>\n",
       "      <td>0.317024</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>7.753166e-09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>4.361732e-01</td>\n",
       "      <td>5.638266e-01</td>\n",
       "      <td>1.814609e-07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.248163</td>\n",
       "      <td>0.330596</td>\n",
       "      <td>0.413612</td>\n",
       "      <td>0.334520</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.820040e-09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5.741893e-01</td>\n",
       "      <td>4.258107e-01</td>\n",
       "      <td>3.321413e-08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.183298</td>\n",
       "      <td>0.353357</td>\n",
       "      <td>0.422248</td>\n",
       "      <td>0.375837</td>\n",
       "      <td>8.334403e-13</td>\n",
       "      <td>9.239579e-11</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>8.138078e-01</td>\n",
       "      <td>1.861922e-01</td>\n",
       "      <td>8.563839e-10</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.135388</td>\n",
       "      <td>0.372738</td>\n",
       "      <td>0.428958</td>\n",
       "      <td>0.415251</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.845514e-09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>9.999997e-01</td>\n",
       "      <td>2.564263e-07</td>\n",
       "      <td>1.665269e-08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.387433</td>\n",
       "      <td>0.428958</td>\n",
       "      <td>0.415251</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>6.340395e-09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>9.999991e-01</td>\n",
       "      <td>8.996339e-07</td>\n",
       "      <td>5.941383e-08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        delta       obj    return      risk            PM           LMT  \\\n",
       "0   31.622777 -6.271623  0.175479  0.203875  1.028265e-01  1.130694e-01   \n",
       "1   23.357215 -4.586052  0.178755  0.203997  9.909669e-02  1.126088e-01   \n",
       "2   17.252105 -3.340046  0.183200  0.204221  9.403792e-02  1.119876e-01   \n",
       "3   12.742750 -2.418350  0.189246  0.204634  8.715666e-02  1.111420e-01   \n",
       "4    9.412050 -1.735700  0.197502  0.205396  7.775956e-02  1.099847e-01   \n",
       "5    6.951928 -1.228921  0.208856  0.206817  6.483614e-02  1.083978e-01   \n",
       "6    5.134833 -0.851059  0.224685  0.209499  4.681659e-02  1.061779e-01   \n",
       "7    3.792690 -0.566941  0.247845  0.214831  1.987726e-02  1.033740e-01   \n",
       "8    2.801357 -0.349680  0.277674  0.223947  3.664982e-09  9.021648e-02   \n",
       "9    2.069138 -0.181326  0.312261  0.238547  2.982481e-09  5.163382e-02   \n",
       "10   1.528307 -0.045407  0.361694  0.266374  4.009003e-09  2.089985e-07   \n",
       "11   1.128838  0.065444  0.384750  0.282863  5.519963e-10  3.570274e-09   \n",
       "12   0.833782  0.150242  0.395189  0.293778  1.080010e-09  1.517056e-08   \n",
       "13   0.615848  0.215749  0.403111  0.304233  7.329334e-10  1.595340e-08   \n",
       "14   0.454878  0.265016  0.405375  0.308566  0.000000e+00  1.240693e-09   \n",
       "15   0.335982  0.302123  0.408638  0.317024  0.000000e+00  7.753166e-09   \n",
       "16   0.248163  0.330596  0.413612  0.334520  0.000000e+00  2.820040e-09   \n",
       "17   0.183298  0.353357  0.422248  0.375837  8.334403e-13  9.239579e-11   \n",
       "18   0.135388  0.372738  0.428958  0.415251  0.000000e+00  1.845514e-09   \n",
       "19   0.100000  0.387433  0.428958  0.415251  0.000000e+00  6.340395e-09   \n",
       "\n",
       "             MCD           MMM          AAPL          MSFT           TXN  \\\n",
       "0   3.006178e-01  1.649833e-01  1.859269e-09  7.935826e-02  5.704450e-02   \n",
       "1   3.000666e-01  1.591047e-01  4.990948e-09  8.752508e-02  6.125147e-02   \n",
       "2   2.993067e-01  1.511269e-01  1.573623e-08  9.860880e-02  6.696294e-02   \n",
       "3   2.982765e-01  1.402759e-01  1.023495e-08  1.136858e-01  7.473031e-02   \n",
       "4   2.968750e-01  1.254593e-01  7.721570e-09  1.342709e-01  8.533623e-02   \n",
       "5   2.949460e-01  1.050807e-01  2.072306e-08  1.625818e-01  9.991932e-02   \n",
       "6   2.922631e-01  7.667409e-02  1.105620e-08  2.020499e-01  1.202504e-01   \n",
       "7   2.885322e-01  3.622298e-02  4.707309e-03  2.559452e-01  1.478726e-01   \n",
       "8   2.674048e-01  9.155908e-09  2.610527e-02  3.244756e-01  1.773813e-01   \n",
       "9   2.062153e-01  2.615126e-10  5.362076e-02  4.289136e-01  2.091390e-01   \n",
       "10  8.067627e-02  3.986740e-09  9.755740e-02  5.804044e-01  2.413616e-01   \n",
       "11  4.261622e-09  0.000000e+00  1.486028e-01  6.614851e-01  1.899121e-01   \n",
       "12  1.099099e-08  0.000000e+00  2.138700e-01  7.097808e-01  7.634917e-02   \n",
       "13  1.294185e-09  0.000000e+00  2.828077e-01  7.171919e-01  3.424213e-07   \n",
       "14  0.000000e+00  0.000000e+00  3.456455e-01  6.543544e-01  3.395459e-08   \n",
       "15  0.000000e+00  0.000000e+00  4.361732e-01  5.638266e-01  1.814609e-07   \n",
       "16  0.000000e+00  0.000000e+00  5.741893e-01  4.258107e-01  3.321413e-08   \n",
       "17  0.000000e+00  0.000000e+00  8.138078e-01  1.861922e-01  8.563839e-10   \n",
       "18  0.000000e+00  0.000000e+00  9.999997e-01  2.564263e-07  1.665269e-08   \n",
       "19  0.000000e+00  0.000000e+00  9.999991e-01  8.996339e-07  5.941383e-08   \n",
       "\n",
       "            CSCO  \n",
       "0   1.821003e-01  \n",
       "1   1.803467e-01  \n",
       "2   1.779691e-01  \n",
       "3   1.747329e-01  \n",
       "4   1.703143e-01  \n",
       "5   1.642383e-01  \n",
       "6   1.557680e-01  \n",
       "7   1.434684e-01  \n",
       "8   1.144165e-01  \n",
       "9   5.047755e-02  \n",
       "10  5.340562e-08  \n",
       "11  1.702059e-09  \n",
       "12  5.430428e-10  \n",
       "13  0.000000e+00  \n",
       "14  0.000000e+00  \n",
       "15  0.000000e+00  \n",
       "16  0.000000e+00  \n",
       "17  0.000000e+00  \n",
       "18  0.000000e+00  \n",
       "19  0.000000e+00  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_result_orig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize the results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the efficient frontier for both cases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_result_shrunk.plot(x=\"risk\", y=\"return\", style=\"-o\", xlabel=\"portfolio risk (std. dev.)\", ylabel=\"portfolio return\", grid=True)\n",
    "df_result_orig.plot(ax=ax, x=\"risk\", y=\"return\", style=\"-o\", xlabel=\"portfolio risk (std. dev.)\", ylabel=\"portfolio return\", grid=True)   \n",
    "ax.legend([\"return with shrinkage\", \"return\"]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the portfolio composition for both cases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_cmap = LinearSegmentedColormap.from_list(\"non-extreme gray\", [\"#111111\", \"#eeeeee\"], N=256, gamma=1.0)\n",
    "ax1 = df_result_shrunk.set_index('risk').iloc[:, 3:].plot.area(colormap=my_cmap, xlabel='portfolio risk (std. dev.)', ylabel=\"x\")\n",
    "ax1.grid(which='both', axis='x', linestyle=':', color='k', linewidth=1)\n",
    "ax2 = df_result_orig.set_index('risk').iloc[:, 3:].plot.area(colormap=my_cmap, xlabel='portfolio risk (std. dev.)', ylabel=\"x\") \n",
    "ax2.grid(which='both', axis='x', linestyle=':', color='k', linewidth=1)"
   ]
  }
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