Algorithmic Trading Methods
Algorithmic Trading Methods Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques by Robert Kissell.
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CHAPTER 1 Introduction ...................................................................................1
What is Electronic Trading? ......................................................................... 2
What is Algorithmic Trading? ...................................................................... 3
Trading Algorithm Classifications ................................................................ 3
Trading Algorithm Styles ............................................................................. 4
Investment Cycle .......................................................................................... 5
Investment Objective .................................................................................... 5
Information Content...................................................................................... 6
Investment Styles .......................................................................................... 7
Investment Strategies .................................................................................... 9
Research Data ............................................................................................. 15
Broker Trading Desks................................................................................. 16
Research Function....................................................................................... 17
Sales Function............................................................................................. 18
Implementation Types................................................................................. 19
Algorithmic Decision-Making Process ....................................................... 20
CHAPTER 2 Algorithmic Trading ....................................................................... 23
Advantages.................................................................................................. 25
Disadvantages ............................................................................................. 26
Growth in Algorithmic Trading.................................................................. 27
Market Participants ..................................................................................... 28
Classifications of Algorithms...................................................................... 31
Types of Algorithms ................................................................................... 31
Algorithmic Trading Trends ....................................................................... 35
Day of Week Effect .................................................................................... 37
Intraday Trading Profiles ............................................................................ 39
Trading Venue Classification...................................................................... 42
Displayed Market ................................................................................... 42
Dark Pool ............................................................................................... 42
Dark Pool Controversies ........................................................................ 43
Types of Orders .......................................................................................... 44
Revenue Pricing Models............................................................................. 45
Order Priority ......................................................................................... 46
Execution Options....................................................................................... 46
Algorithmic Trading Decisions................................................................... 47
Macro Level Strategies .......................................................................... 47
Micro Level Decisions ........................................................................... 48
Limit Order Models ............................................................................... 48
Smart Order Routers .............................................................................. 48
Algorithmic Analysis Tools........................................................................ 49
Pre-Trade Analysis ................................................................................. 49
Intraday Analysis ................................................................................... 49
Post-Trade Analysis ............................................................................... 49
High Frequency Trading............................................................................. 50
Auto Market Making.............................................................................. 50
Quantitative Trading/Statistical Arbitrage.............................................. 52
Rebate/Liquidity Trading ....................................................................... 52
Direct Market Access.................................................................................. 54
CHAPTER 3 Transaction Costs .......................................................................... 57
What are Transaction Costs? ...................................................................... 57
What is Best Execution?............................................................................. 58
What is the Goal of Implementation?......................................................... 58
Unbundled Transaction Cost Components ................................................. 59
Commission............................................................................................ 59
Fees ........................................................................................................ 59
Taxes ...................................................................................................... 59
Rebates ................................................................................................... 60
Spreads ................................................................................................... 60
Delay Cost.............................................................................................. 60
Price Appreciation.................................................................................. 61
Market Impact ........................................................................................ 61
Timing Risk............................................................................................ 62
Opportunity Cost.................................................................................... 62
Transaction Cost Classification................................................................... 62
Transaction Cost Categorization................................................................. 65
Transaction Cost Analysis .......................................................................... 65
Measuring/Forecasting ........................................................................... 66
Cost vs. Profit and Loss ......................................................................... 67
Implementation Shortfall ............................................................................ 67
Complete Execution ............................................................................... 69
Opportunity Cost (Andre Perold)........................................................... 70
Expanded Implementation Shortfall (Wayne Wagner).......................... 71
Implementation Shortfall Formulation........................................................ 74
Trading Cost/Arrival Cost...................................................................... 74
Evaluating Performance .............................................................................. 75
Trading Price Performance..................................................................... 75
Benchmark Price Performance............................................................... 75
VWAP Benchmark................................................................................. 76
Participation-Weighted Price Benchmark .............................................. 77
Relative Performance Measure .............................................................. 78
Pretrade Benchmark ............................................................................... 80
Index-Adjusted Performance Metric ...................................................... 80
Z-Score Evaluation Metric ..................................................................... 81
Market Cost-Adjusted Z-Score .............................................................. 83
Adaptation Tactic ................................................................................... 83
Comparing Algorithms ............................................................................... 84
Nonparametric Tests .............................................................................. 85
Paired Samples ....................................................................................... 86
Sign Test ................................................................................................ 86
Wilcoxon Signed Rank Test .................................................................. 87
Independent Samples .................................................................................. 89
ManneWhitney U Test.......................................................................... 89
Median Test ................................................................................................ 91
Distribution Analysis .................................................................................. 92
Chi-Square Goodness of Fit ....................................................................... 93
KolmogoroveSmirnov Goodness of Fit..................................................... 94
Experimental Design................................................................................... 95
Proper Statistical Tests ........................................................................... 95
Small Sample Size ................................................................................. 95
Data Ties ................................................................................................ 96
Proper Categorization............................................................................. 96
Balanced Data Sets................................................................................. 96
Final Note on Posttrade Analysis ............................................................... 97
CHAPTER 4 Market Impact Models ................................................................... 99
Introduction ................................................................................................. 99
Definition .................................................................................................... 99
Example 1: Temporary Market Impact................................................ 100
Example 2: Permanent Market Impact ................................................ 100
Graphical Illustrations of Market Impact............................................. 101
Illustration #1: Price Trajectory ........................................................... 101
Illustration #2: SupplyeDemand Equilibrium..................................... 102
Illustration #3: Temporary Impact Decay Function............................. 105
Example #3: Temporary Decay Formulation ...................................... 108
Illustration #4: Various Market Impact Price Trajectories .................. 108
Developing a Market Impact Model.................................................... 109
Essential Properties of a Market Impact Model .................................. 110
The Shape of the Market Impact Function .......................................... 112
Example: Convex Shape ...................................................................... 114
Example: Linear Shape ........................................................................ 114
Example: Concave Shape..................................................................... 114
Derivation of Models ................................................................................ 115
Almgren and Chriss Market Impact Model ......................................... 115
I-Star Market Impact Model ..................................................................... 120
Model Formulation ................................................................................... 120
I-Star: Instantaneous Impact Equation ................................................. 121
The Market Impact Equation ............................................................... 122
Derivation of the Model....................................................................... 122
Cost Allocation Method....................................................................... 123
I* Formulation...................................................................................... 126
Comparison of Approaches.................................................................. 128
CHAPTER 5 Probability and Statistics .............................................................. 129
Introduction ............................................................................................... 129
Random Variables..................................................................................... 129
Probability Distributions ........................................................................... 130
Example: Discrete Probability Distribution Function.......................... 131
Example: Continuous Probability Distribution Function..................... 132
Descriptive Statistics ............................................................................ 135
Probability Distribution Functions............................................................ 136
Continuous Distribution Functions ........................................................... 137
Normal Distribution ............................................................................. 137
Standard Normal Distribution .............................................................. 138
Student’s t-Distribution ........................................................................ 139
Log-Normal Distribution...................................................................... 141
Uniform Distribution............................................................................ 142
Exponential Distribution ...................................................................... 143
Chi-Square Distribution ....................................................................... 145
Logistic Distribution ............................................................................ 146
Triangular Distribution......................................................................... 148
Discrete Distributions................................................................................ 149
Binomial Distribution........................................................................... 149
Poisson Distribution ............................................................................. 150
End Notes.................................................................................................. 150
CHAPTER 6 Linear Regression Models ............................................................. 151
Introduction ............................................................................................... 151
Linear Regression Requirements ......................................................... 154
Regression Metrics............................................................................... 154
Linear Regression ..................................................................................... 156
True Linear Regression Model ............................................................ 156
Simple Linear Regression Model......................................................... 156
Solving the Simple Linear Regression Model ..................................... 157
Standard Error of the Regression Model ............................................. 159
R2 Goodness of Fit............................................................................... 159
T-test: Hypothesis Test......................................................................... 159
F-test: Hypothesis Test ........................................................................ 159
Example: Simple Linear Regression.................................................... 159
Multiple Linear Regression Model ...................................................... 161
Solving the Multiple Linear Regression Model................................... 162
Standard Error of the Regression Model ............................................. 164
R2 Goodness of Fit............................................................................... 164
T-test: Hypothesis Test......................................................................... 164
F-test: Hypothesis Test ........................................................................ 165
Example: Multiple Linear Regression ................................................. 165
Matrix Techniques .................................................................................... 167
Estimate Parameters ............................................................................. 167
Compute Standard Errors of b ............................................................. 168
R2 Statistic ............................................................................................ 169
F-Statistic ............................................................................................. 169
Log Regression Model.............................................................................. 169
Example: Log-Transformation ............................................................. 169
Example: Log-Linear Transformation.................................................. 171
Polynomial Regression Model.................................................................. 171
Fractional Regression Model .................................................................... 172
CHAPTER 7 Probability Models....................................................................... 175
Introduction ............................................................................................... 175
Developing a Probability Model............................................................... 175
Comparison of Linear Regression Model to Probability Model ......... 177
Power Function Model......................................................................... 177
Logit Model.......................................................................................... 178
Probit Model ........................................................................................ 179
Outcome Data....................................................................................... 180
Grouping Data...................................................................................... 182
Contents ix