很不错的英文原版数量化交易    共享啦
Pairs trading is a market neutral strategy in its most simple form. The strategy involves being long (or bullish) one asset and short (or bearish) another. If properly executed the investor will gain regardless of whether the market rises or falls. Pairs trading arises in the context of what is commonly termed in wall street parlance as statistical arbitrage and risk arbitrage. Vidyamurthy, provides indepth analysis and insights into the practice of Pairs trading in both those cases . His experience includes working for some of the biggest investment houses. In Pairs Trading he offers an integrated view of theory and its translation to practice providing investment houses and individuals the quantitative tools they would need to answer key questions relating to this style of trading.
10
CHAPTER 2
Time Series 14
Overview 14
Autocorrelation 15
Time Series Models 16
Forecasting 24
Goodness of Fit versus Bias 25
Model Choice 26
Modeling Stock Prices 30
CHAPTER 3
Factor Models 37
Introduction 37
Arbitrage Pricing Theory 39
The Covariance Matrix 42
Application: Calculating the Risk on a Portfolio 44
Application: Calculation of Portfolio Beta 47
Application: Tracking Basket Design 49
Sensitivity Analysis 50
Contents
CHAPTER 4
Kalman Filtering 52
Introduction 52
The Kalman Filter 54
The Scalar Kalman Filter 57
Filtering the Random Walk 60
Application: Example with the Standard & Poor Index 64
PART TWO
Statistical Arbitrage Pairs
CHAPTER 5
Overview 73
History 73
Motivation 74
Cointegration 75
Applying the Model 80
A Trading Strategy 82
Road Map for Strategy Design 83
CHAPTER 6
Pairs Selection in Equity Markets 85
Introduction 85
Common Trends Cointegration Model 87
Common Trends Model and APT 90
The Distance Measure 93
Interpreting the Distance Measure 94
Reconciling Theory and Practice 97
CHAPTER 7
Testing for Tradability 104
Introduction 104
The Linear Relationship 106
Estimating the Linear Relationship: The Multifactor
Approach 107
Estimating the Linear Relationship: The Regression Approach 108
Testing Residual for Tradability 112
CHAPTER 8
Trading Design 118
Introduction 118
vi CONTENTS
Band Design for White Noise 119
Spread Dynamics 122
Nonparametric Approach 126
Regularization 130
Tying Up Loose Ends 135
PART THREE
Risk Arbitrage Pairs
CHAPTER 9
Risk Arbitrage Mechanics 139
Introduction 139
History 140
The Deal Process 141
Transaction Terms 142
The Deal Spread 145
Trading Strategy 147
Quantitative Aspects 149
CHAPTER 10
Trade Execution 151
Introduction 151
Specifying the Order 152
Verifying the Execution 155
Execution During the Pricing Period 161
Short Selling 166
CHAPTER 11
The Market Implied Merger Probability 171
Introduction 171
Implied Probabilities and Arrow-Debreu Theory 173
The Single-Step Model 175
The Multistep Model 177
Reconciling Theory and Practice 180
Risk Management 184
CHAPTER 12
Spread Inversion 189
Introduction 189
The Prediction Equation 190
The Observation Equation 192
Contents vii
Applying the Kalman Filter 193
Model Selection 194
Applications to Trading 197