{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Derivatives Pricing\n", "\n", "The goal of this case study is to perform derivative pricing from a machine learning standpoint and use supervised regression-based model to learn the Black-Scholes option pricing model from simulated data.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Content" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [1. Problem Definition](#0)\n", "* [2. Getting Started - Load Libraries and Dataset](#1)\n", " * [2.1. Load Libraries](#1.1) \n", " * [2.2. Defining function and parameters](#1.2)\n", " * [2.3. Load Dataset](#1.3)\n", "* [3. Exploratory Data Analysis](#2)\n", " * [3.1 Descriptive Statistics](#2.1) \n", " * [3.2. Data Visualisation](#2.2)\n", "* [4. Data Preparation and analysis](#3)\n", " * [4.1.Feature Selection](#3.1) \n", "* [5.Evaluate Algorithms and Models](#4) \n", " * [5.1. Train/Test Split and evaluation metrics](#4.1)\n", " * [5.2. Compare Models and Algorithms](#4.2)\n", "* [6. Model Tuning and finalizing the model](#5)\n", "* [7. Additional analysis: removing the volatilty data](#6)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='0'></a>\n", "# 1. Problem Definition" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the supervised regression framework used for this case study, the derivative pricing\n", "problem is defined in the regression framework, where the predicted variable is the\n", "pricing of the option, and the predictor variables are the market data that are used as\n", "inputs to the Black-Scholes option pricing model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Options have been used in finance as means to hedge risk in a nonlinear manner. They are are also used by speculators in order to take leveraged bets in the financial markets. Historically, people have used the Black Scholes formula." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "$$ Se^{-q \\tau}\\Phi(d_1) - e^{-r \\tau} K\\Phi(d_2) \\, $$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "$$ d_1 = \\frac{\\ln(S/K) + (r - q + \\sigma^2/2)\\tau}{\\sigma\\sqrt{\\tau}} $$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "and" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "$$ d_2 = \\frac{\\ln(S/K) + (r - q - \\sigma^2/2)\\tau}{\\sigma\\sqrt{\\tau}} = d_1 - \\sigma\\sqrt{\\tau} $$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Where we have;\n", " Stock price $S$;\n", " Strike price $K$;\n", " Risk-free rate $r$;\n", " Annual dividend yield $q$;\n", " Time to maturity $\\tau = T-t$ (represented as a unit-less fraction of one year);\n", " Volatility $\\sigma$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In order to make the logic simpler, we define *Moneyness* as $M = K/S$ and look at the prices in terms of per unit of current stock price. We also set $q$ as $0$ " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This simplifes the formula down to the following" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "$$ e^{-q \\tau}\\Phi\\left( \\frac{- \\ln(M) + (r+ \\sigma^2/2 )\\tau}{\\sigma\\sqrt{\\tau}}\\right) - e^{-r \\tau} M\\Phi\\left( \\frac{- \\ln(M) + (r - \\sigma^2/2)\\tau}{\\sigma\\sqrt{\\tau}} \\right) \\, $$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Vol Suface" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the options market, there isn't a single value of volatility which gives us the correct price. We often find the volatility such that the output matches the price" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simulation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this exercise, we assume the the sturcture of the vol surface. In practice, we would source the data from a data vendor." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We use the following function to generate the option volatility surface" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "$$ \\sigma(M, \\tau) = \\sigma_0 + \\alpha\\tau + \\beta (M - 1)^2$$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='1'></a>\n", "# 2. Getting Started- Loading the data and python packages" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='1.1'></a>\n", "## 2.1. Loading the python packages" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Python Imports" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "# Distribution functions\n", "from scipy.stats import norm\n", "\n", "\n", "# Load libraries\n", "import numpy as np\n", "import pandas as pd\n", "import pandas_datareader.data as web\n", "from matplotlib import pyplot\n", "from pandas.plotting import scatter_matrix\n", "import seaborn as sns\n", "from sklearn.preprocessing import StandardScaler\n", "\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.model_selection import KFold\n", "from sklearn.model_selection import cross_val_score\n", "from sklearn.model_selection import GridSearchCV\n", "\n", "from sklearn.linear_model import LinearRegression\n", "from sklearn.linear_model import Lasso\n", "from sklearn.linear_model import ElasticNet\n", "from sklearn.tree import DecisionTreeRegressor\n", "from sklearn.neighbors import KNeighborsRegressor\n", "from sklearn.svm import SVR\n", "from sklearn.ensemble import RandomForestRegressor\n", "from sklearn.ensemble import GradientBoostingRegressor\n", "from sklearn.ensemble import ExtraTreesRegressor\n", "from sklearn.ensemble import AdaBoostRegressor\n", "from sklearn.neural_network import MLPRegressor\n", "\n", "#Libraries for Deep Learning Models\n", "from keras.models import Sequential\n", "from keras.layers import Dense\n", "from keras.optimizers import SGD\n", "from keras.layers import LSTM\n", "from keras.wrappers.scikit_learn import KerasRegressor\n", "\n", "#Libraries for Statistical Models\n", "import statsmodels.api as sm\n", "\n", "#Libraries for Saving the Model\n", "from pickle import dump\n", "from pickle import load\n", "\n", "# Time series Models\n", "from statsmodels.tsa.arima_model import ARIMA\n", "#from statsmodels.tsa.statespace.sarimax import SARIMAX\n", "\n", "# Error Metrics\n", "from sklearn.metrics import mean_squared_error\n", "\n", "# Feature Selection\n", "from sklearn.feature_selection import SelectKBest\n", "from sklearn.feature_selection import chi2, f_regression\n", "\n", "\n", "#Plotting \n", "from pandas.plotting import scatter_matrix\n", "from statsmodels.graphics.tsaplots import plot_acf\n" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "#Diable the warnings\n", "import warnings\n", "warnings.filterwarnings('ignore')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='1.2'></a>\n", "## 2.2. Defining functions and parameters" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### True Parameters" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "true_alpha = 0.1\n", "true_beta = 0.1\n", "true_sigma0 = 0.2" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "risk_free_rate = 0.05" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Vol and Option Pricing Functions" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "def option_vol_from_surface(moneyness, time_to_maturity):\n", " return true_sigma0 + true_alpha * time_to_maturity + true_beta * np.square(moneyness - 1)\n", "\n", "def call_option_price(moneyness, time_to_maturity, option_vol):\n", " d1=(np.log(1/moneyness)+(risk_free_rate+np.square(option_vol))*time_to_maturity)/(option_vol*np.sqrt(time_to_maturity))\n", " d2=(np.log(1/moneyness)+(risk_free_rate-np.square(option_vol))*time_to_maturity)/(option_vol*np.sqrt(time_to_maturity))\n", " N_d1 = norm.cdf(d1)\n", " N_d2 = norm.cdf(d2)\n", " \n", " return N_d1 - moneyness * np.exp(-risk_free_rate*time_to_maturity) * N_d2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='1.3'></a>\n", "## 2.3. Data Generation" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "N = 10000\n", "\n", "Ks = 1+0.25*np.random.randn(N)\n", "Ts = np.random.random(N)\n", "Sigmas = np.array([option_vol_from_surface(k,t) for k,t in zip(Ks,Ts)])\n", "Ps = np.array([call_option_price(k,t,sig) for k,t,sig in zip(Ks,Ts,Sigmas)])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Set the Endog and Exog Data" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "Y = Ps\n", "\n", "X = np.concatenate([Ks.reshape(-1,1), Ts.reshape(-1,1), Sigmas.reshape(-1,1)], axis=1)\n", "\n", "dataset = pd.DataFrame(np.concatenate([Y.reshape(-1,1), X], axis=1),\n", " columns=['Price', 'Moneyness', 'Time', 'Vol'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='2'></a>\n", "# 3. Exploratory Data Analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='2.1'></a>\n", "## 3.1. Descriptive Statistics" ] }, { "cell_type": "code", "execution_count": 28, "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>Price</th>\n", " <th>Moneyness</th>\n", " <th>Time</th>\n", " <th>Vol</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>0.211</td>\n", " <td>0.934</td>\n", " <td>0.660</td>\n", " <td>0.266</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>0.038</td>\n", " <td>1.011</td>\n", " <td>0.065</td>\n", " <td>0.207</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>0.163</td>\n", " <td>1.187</td>\n", " <td>0.883</td>\n", " <td>0.292</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>0.091</td>\n", " <td>1.245</td>\n", " <td>0.648</td>\n", " <td>0.271</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>0.193</td>\n", " <td>0.813</td>\n", " <td>0.125</td>\n", " <td>0.216</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Price Moneyness Time Vol\n", "0 0.211 0.934 0.660 0.266\n", "1 0.038 1.011 0.065 0.207\n", "2 0.163 1.187 0.883 0.292\n", "3 0.091 1.245 0.648 0.271\n", "4 0.193 0.813 0.125 0.216" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset.head()" ] }, { "cell_type": "code", "execution_count": 29, "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>Price</th>\n", " <th>Moneyness</th>\n", " <th>Time</th>\n", " <th>Vol</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>10000.000</td>\n", " <td>10000.000</td>\n", " <td>1.000e+04</td>\n", " <td>10000.000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>0.177</td>\n", " <td>1.005</td>\n", " <td>5.048e-01</td>\n", " <td>0.257</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>0.133</td>\n", " <td>0.249</td>\n", " <td>2.875e-01</td>\n", " <td>0.030</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>0.000</td>\n", " <td>0.123</td>\n", " <td>2.516e-04</td>\n", " <td>0.200</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>0.073</td>\n", " <td>0.836</td>\n", " <td>2.581e-01</td>\n", " <td>0.232</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>0.159</td>\n", " <td>1.007</td>\n", " <td>5.038e-01</td>\n", " <td>0.257</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>0.250</td>\n", " <td>1.177</td>\n", " <td>7.521e-01</td>\n", " <td>0.281</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>0.882</td>\n", " <td>1.977</td>\n", " <td>1.000e+00</td>\n", " <td>0.358</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Price Moneyness Time Vol\n", "count 10000.000 10000.000 1.000e+04 10000.000\n", "mean 0.177 1.005 5.048e-01 0.257\n", "std 0.133 0.249 2.875e-01 0.030\n", "min 0.000 0.123 2.516e-04 0.200\n", "25% 0.073 0.836 2.581e-01 0.232\n", "50% 0.159 1.007 5.038e-01 0.257\n", "75% 0.250 1.177 7.521e-01 0.281\n", "max 0.882 1.977 1.000e+00 0.358" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.set_option('precision', 3)\n", "dataset.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='2.2'></a>\n", "## 3.2. Data Visualization" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 864x864 with 4 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "dataset.hist(bins=50, sharex=False, sharey=False, xlabelsize=1, ylabelsize=1, figsize=(12,12))\n", "pyplot.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see that the price has an interesting distribution with a spike at $0$" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 1080x1080 with 16 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "dataset.plot(kind='density', subplots=True, layout=(4,4), sharex=True, legend=True, fontsize=1, figsize=(15,15))\n", "pyplot.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next we look at the interaction between different variables" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x1e535c3cc88>" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 720x720 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "correlation = dataset.corr()\n", "pyplot.figure(figsize=(10,10))\n", "pyplot.title('Correlation Matrix')\n", "sns.heatmap(correlation, vmax=1, square=True,annot=True,cmap='cubehelix')" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<Figure size 1080x1080 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 864x864 with 16 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "pyplot.figure(figsize=(15,15))\n", "scatter_matrix(dataset,figsize=(12,12))\n", "pyplot.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see some very interesting non linear analysis. This means that we expect our non linear models to do a better job than our linear models." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='3'></a>\n", "## 4. Data Preparation and Analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='4.1'></a>\n", "## 4.1. Univariate Feature Selection" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We use SelectKBest function from sklearn" ] }, { "cell_type": "code", "execution_count": 34, "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>Score</th>\n", " </tr>\n", " <tr>\n", " <th>Specs</th>\n", " <th></th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>Moneyness</th>\n", " <td>30032.266</td>\n", " </tr>\n", " <tr>\n", " <th>Vol</th>\n", " <td>2156.177</td>\n", " </tr>\n", " <tr>\n", " <th>Time</th>\n", " <td>1412.241</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Score\n", "Specs \n", "Moneyness 30032.266\n", "Vol 2156.177\n", "Time 1412.241" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bestfeatures = SelectKBest(k='all', score_func=f_regression)\n", "fit = bestfeatures.fit(X,Y)\n", "dfscores = pd.DataFrame(fit.scores_)\n", "dfcolumns = pd.DataFrame(['Moneyness', 'Time', 'Vol'])\n", "#concat two dataframes for better visualization \n", "featureScores = pd.concat([dfcolumns,dfscores],axis=1)\n", "featureScores.columns = ['Specs','Score'] #naming the dataframe columns\n", "featureScores.nlargest(10,'Score').set_index('Specs') #print 10 best features" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We observe that the moneyness is the most important variable for the price." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='4'></a>\n", "# 5. Evaluate Algorithms and Models" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='4.1'></a>\n", "## 5.1. Train Test Split and Evaluation Metrics" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "validation_size = 0.2\n", "\n", "train_size = int(len(X) * (1-validation_size))\n", "X_train, X_test = X[0:train_size], X[train_size:len(X)]\n", "Y_train, Y_test = Y[0:train_size], Y[train_size:len(X)]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We use the prebuilt scikit models to run a K fold analysis on our training data. We then train the model on the full training data and use it for prediction of the test data. The parameters for the K fold analysis are defined as -" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "num_folds = 10\n", "seed = 7\n", "# scikit is moving away from mean_squared_error. \n", "# In order to avoid confusion, and to allow comparison with other models, we invert the final scores\n", "scoring = 'neg_mean_squared_error' " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='4.2'></a>\n", "## 5.2. Compare Models and Algorithms" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Linear Models and Regression Trees" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "models = []\n", "models.append(('LR', LinearRegression()))\n", "models.append(('LASSO', Lasso()))\n", "models.append(('EN', ElasticNet()))\n", "models.append(('KNN', KNeighborsRegressor()))\n", "models.append(('CART', DecisionTreeRegressor()))\n", "models.append(('SVR', SVR()))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Neural Network Predictor" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "models.append(('MLP', MLPRegressor()))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Boosting and Bagging Methods" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "# Boosting methods\n", "models.append(('ABR', AdaBoostRegressor()))\n", "models.append(('GBR', GradientBoostingRegressor()))\n", "# Bagging methods\n", "models.append(('RFR', RandomForestRegressor()))\n", "models.append(('ETR', ExtraTreesRegressor()))" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "LR: 0.000348 (0.000025) 0.000348 0.000397\n", "LASSO: 0.017766 (0.000996) 0.017763 0.017695\n", "EN: 0.017766 (0.000996) 0.017763 0.017695\n", "KNN: 0.000015 (0.000005) 0.000007 0.000017\n", "CART: 0.000010 (0.000002) 0.000000 0.000009\n", "SVR: 0.004016 (0.000076) 0.004032 0.004056\n", "MLP: 0.000069 (0.000065) 0.000018 0.000020\n", "ABR: 0.000615 (0.000024) 0.000577 0.000582\n", "GBR: 0.000019 (0.000001) 0.000015 0.000019\n", "RFR: 0.000002 (0.000001) 0.000000 0.000002\n", "ETR: 0.000000 (0.000000) 0.000000 0.000001\n" ] } ], "source": [ "names = []\n", "kfold_results = []\n", "test_results = []\n", "train_results = []\n", "for name, model in models:\n", " names.append(name)\n", " \n", " ## K Fold analysis:\n", " \n", " kfold = KFold(n_splits=num_folds, random_state=seed)\n", " #converted mean square error to positive. The lower the beter\n", " cv_results = -1* cross_val_score(model, X_train, Y_train, cv=kfold, scoring=scoring)\n", " kfold_results.append(cv_results)\n", " \n", "\n", " # Full Training period\n", " res = model.fit(X_train, Y_train)\n", " train_result = mean_squared_error(res.predict(X_train), Y_train)\n", " train_results.append(train_result)\n", " \n", " # Test results\n", " test_result = mean_squared_error(res.predict(X_test), Y_test)\n", " test_results.append(test_result)\n", " \n", " msg = \"%s: %f (%f) %f %f\" % (name, cv_results.mean(), cv_results.std(), train_result, test_result)\n", " print(msg)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We being by looking at the Kfold analysis" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 1080x576 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = pyplot.figure()\n", "fig.suptitle('Algorithm Comparison: Kfold results')\n", "ax = fig.add_subplot(111)\n", "pyplot.boxplot(kfold_results)\n", "ax.set_xticklabels(names)\n", "fig.set_size_inches(15,8)\n", "pyplot.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In order to get a better view, we remove the LASSO and Elastic Net" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 1080x576 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# compare algorithms\n", "fig = pyplot.figure()\n", "\n", "ind = np.arange(len(names)-2) # the x locations for the groups\n", "width = 0.35 # the width of the bars\n", "\n", "fig.suptitle('Algorithm Comparison')\n", "ax = fig.add_subplot(111)\n", "pyplot.bar(ind - width/2, train_results[0:1] + train_results[3:], width=width, label='Train Error')\n", "pyplot.bar(ind + width/2, test_results[0:1] + test_results[3:], width=width, label='Test Error')\n", "fig.set_size_inches(15,8)\n", "pyplot.legend()\n", "ax.set_xticks(ind)\n", "ax.set_xticklabels(names[0:1] + names[3:])\n", "pyplot.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see that the multilayer perceptron (MLP) algorithm does a lot better that the linear algorithm. However, the CART and the Forest methods do a very good job as well. Given MLP is one of the best models we perform the grid search for MLP model in the next step. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='5'></a>\n", "# 6. Model Tuning and finalising the model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As shown in the chart above the MLP model is one of the best model, so we perform the model tuning. We perform a grid search with different combination of hidden layers in the MLP model. " ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best: -0.000024 using {'hidden_layer_sizes': (20, 30, 20)}\n", "-0.000640 (0.000621) with: {'hidden_layer_sizes': (20,)}\n", "-0.000169 (0.000155) with: {'hidden_layer_sizes': (50,)}\n", "-0.000085 (0.000077) with: {'hidden_layer_sizes': (20, 20)}\n", "-0.000024 (0.000012) with: {'hidden_layer_sizes': (20, 30, 20)}\n" ] } ], "source": [ "'''\n", "hidden_layer_sizes : tuple, length = n_layers - 2, default (100,)\n", " The ith element represents the number of neurons in the ith\n", " hidden layer.\n", "'''\n", "param_grid={'hidden_layer_sizes': [(20,), (50,), (20,20), (20, 30, 20)]}\n", "model = MLPRegressor()\n", "kfold = KFold(n_splits=num_folds, random_state=seed)\n", "grid = GridSearchCV(estimator=model, param_grid=param_grid, scoring=scoring, cv=kfold)\n", "grid_result = grid.fit(X_train, Y_train)\n", "print(\"Best: %f using %s\" % (grid_result.best_score_, grid_result.best_params_))\n", "means = grid_result.cv_results_['mean_test_score']\n", "stds = grid_result.cv_results_['std_test_score']\n", "params = grid_result.cv_results_['params']\n", "for mean, stdev, param in zip(means, stds, params):\n", " print(\"%f (%f) with: %r\" % (mean, stdev, param))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The best model is the model with 3 layers with 20, 30 and 20 nodes in each layer respectively. " ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "MLPRegressor(activation='relu', alpha=0.0001, batch_size='auto', beta_1=0.9,\n", " beta_2=0.999, early_stopping=False, epsilon=1e-08,\n", " hidden_layer_sizes=(20, 30, 20), learning_rate='constant',\n", " learning_rate_init=0.001, max_fun=15000, max_iter=200,\n", " momentum=0.9, n_iter_no_change=10, nesterovs_momentum=True,\n", " power_t=0.5, random_state=None, shuffle=True, solver='adam',\n", " tol=0.0001, validation_fraction=0.1, verbose=False,\n", " warm_start=False)" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# prepare model\n", "model_tuned = MLPRegressor(hidden_layer_sizes=(20, 30, 20))\n", "model_tuned.fit(X_train, Y_train)" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3.08127276609567e-05\n" ] } ], "source": [ "# estimate accuracy on validation set\n", "# transform the validation dataset\n", "predictions = model_tuned.predict(X_test)\n", "print(mean_squared_error(Y_test, predictions))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see that the mean error (RMSE) is 3.08e-5 , which is less than a cent. Hence, the deep learning model does an excellent job of fitting the Black-Scholes option pricing model. The accuracy may be enhanced with more tuning." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a id='6'></a>\n", "# 7. Additonal analysis: removing the volatilty data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we make the process harder by trying to predict the price without the volatility data." ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [], "source": [ "X = X[:, :2]" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "validation_size = 0.2\n", "\n", "train_size = int(len(X) * (1-validation_size))\n", "X_train, X_test = X[0:train_size], X[train_size:len(X)]\n", "Y_train, Y_test = Y[0:train_size], Y[train_size:len(X)]" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [], "source": [ "num_folds = 10\n", "seed = 7\n", "# scikit is moving away from mean_squared_error. \n", "# In order to avoid confusion, and to allow comparison with other models, we invert the final scores\n", "scoring = 'neg_mean_squared_error' " ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [], "source": [ "models = []\n", "models.append(('LR', LinearRegression()))\n", "#models.append(('LASSO', Lasso()))\n", "#models.append(('EN', ElasticNet()))\n", "models.append(('KNN', KNeighborsRegressor()))\n", "models.append(('CART', DecisionTreeRegressor()))\n", "models.append(('SVR', SVR()))" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "models.append(('MLP', MLPRegressor()))" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [], "source": [ "# Boosting methods\n", "models.append(('ABR', AdaBoostRegressor()))\n", "models.append(('GBR', GradientBoostingRegressor()))\n", "# Bagging methods\n", "models.append(('RFR', RandomForestRegressor()))\n", "models.append(('ETR', ExtraTreesRegressor()))" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "LR: 0.002036 (0.000153) 0.002035 0.002126\n", "KNN: 0.000015 (0.000005) 0.000007 0.000017\n", "CART: 0.000011 (0.000004) 0.000000 0.000009\n", "SVR: 0.005857 (0.000104) 0.005832 0.005886\n", "MLP: 0.000069 (0.000109) 0.000008 0.000009\n", "ABR: 0.000625 (0.000029) 0.000596 0.000610\n", "GBR: 0.000020 (0.000001) 0.000015 0.000020\n", "RFR: 0.000002 (0.000000) 0.000000 0.000002\n", "ETR: 0.000000 (0.000000) 0.000000 0.000001\n" ] } ], "source": [ "names = []\n", "kfold_results = []\n", "test_results = []\n", "train_results = []\n", "for name, model in models:\n", " names.append(name)\n", " \n", " ## K Fold analysis:\n", " \n", " kfold = KFold(n_splits=num_folds, random_state=seed)\n", " #converted mean square error to positive. The lower the beter\n", " cv_results = -1* cross_val_score(model, X_train, Y_train, cv=kfold, scoring=scoring)\n", " kfold_results.append(cv_results)\n", " \n", "\n", " # Full Training period\n", " res = model.fit(X_train, Y_train)\n", " train_result = mean_squared_error(res.predict(X_train), Y_train)\n", " train_results.append(train_result)\n", " \n", " # Test results\n", " test_result = mean_squared_error(res.predict(X_test), Y_test)\n", " test_results.append(test_result)\n", " \n", " msg = \"%s: %f (%f) %f %f\" % (name, cv_results.mean(), cv_results.std(), train_result, test_result)\n", " print(msg)" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 1080x576 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = pyplot.figure()\n", "fig.suptitle('Algorithm Comparison: Kfold results')\n", "ax = fig.add_subplot(111)\n", "pyplot.boxplot(kfold_results)\n", "ax.set_xticklabels(names)\n", "fig.set_size_inches(15,8)\n", "pyplot.show()" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 1080x576 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# compare algorithms\n", "fig = pyplot.figure()\n", "\n", "ind = np.arange(len(names)) # the x locations for the groups\n", "width = 0.35 # the width of the bars\n", "\n", "fig.suptitle('Algorithm Comparison')\n", "ax = fig.add_subplot(111)\n", "pyplot.bar(ind - width/2, train_results, width=width, label='Train Error')\n", "pyplot.bar(ind + width/2, test_results, width=width, label='Test Error')\n", "fig.set_size_inches(15,8)\n", "pyplot.legend()\n", "ax.set_xticks(ind)\n", "ax.set_xticklabels(names)\n", "pyplot.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see that the linear regression now does a worse job than before, this is expected since we have added a greater amount of non linearity." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Summary" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* The linear regression model did not do as well as our non-linear models and the non-linear models\n", "have a very good performance overall. \n", "\n", "* Artificial neural network (ANN) can reproduce the Black and Scholes\n", "option pricing formula for a call option to a high degree of accuracy which means that we can leverage the efficient numerical calculation of machine learning in the derivative pricing without relying on the impractical assumptions made in the traditional\n", "derivative pricing models. " ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }