Contents

Cover

Series

Title Page

Copyright

Introduction

About the Editors

Part I: Economic Microstructure Theory

1: Algorithmic Trading: Issues and Preliminary Evidence

1.1 INTRODUCTION

1.2 WHAT IS ALGORITHMIC TRADING?

1.3 MARKET STRUCTURE AND ALGORITHMIC TRADING

1.4 COSTS AND BENEFITS OF ALGORITHMIC TRADING

1.5 EMPIRICAL EVIDENCE

1.6 CONCLUSIONS

1.7 APPENDIX

ACKNOWLEDGMENT

2: Order Choice and Information in Limit Order Markets

2.1 INTRODUCTION

2.2 ORDER CHOICE WITH SYMMETRIC INFORMATION

2.3 ORDER CHOICE WITH ASYMMETRIC INFORMATION

2.4 THE INFORMATION CONTENT OF ORDERS

2.5 QUESTIONS FOR FUTURE RESEARCH

Part II: High Frequency Data Modeling

3: Some Recent Results on High Frequency Correlation

3.1 INTRODUCTION

3.2 DATA DESCRIPTION

3.3 MULTIVARIATE EVENT TIME

3.4 HIGH FREQUENCY LEAD/LAG

3.5 INTRADAY SEASONALITY OF CORRELATION

3.6 CONCLUSION

ACKNOWLEDGMENT

4: Statistical Inference for Volatility and Related Limit Theorems

4.1 INTRODUCTION

4.2 QLA FOR AN ERGODIC DIFFUSION PROCESS

4.3 QLA FOR VOLATILITY IN THE FINITE TIME-HORIZON

4.4 NONSYNCHRONOUS COVARIANCE ESTIMATION

4.5 YUIMA II FOR STATISTICAL ANALYSIS AND SIMULATION FOR STOCHASTIC DIFFERENTIAL EQUATIONS

4.6 HIGHER ORDER ASYMPTOTICS AND FINANCE

ACKNOWLEDGMENTS

Part III: Market Impact

5: Models for the Impact of All Order Book Events

5.1 INTRODUCTION

5.2 A SHORT SUMMARY OF MARKET ORDER IMPACT MODELS

5.3 MANY-EVENT IMPACT MODELS

5.4 MODEL CALIBRATION AND EMPIRICAL TESTS

5.5 CONCLUSION

APPENDIX

ACKNOWLEDGMENTS

6: Limit Order Flow, Market Impact, and Optimal Order Sizes: Evidence from NASDAQ TotalView-ITCH Data

6.1 INTRODUCTION

6.2 MARKET ENVIRONMENT AND DATA

6.3 MAJOR ORDER FLOW AND ORDER BOOK CHARACTERISTICS

6.4 AN ECONOMETRIC MODEL FOR THE MARKET IMPACT OF LIMIT ORDERS

6.5 MARKET IMPACT AT NASDAQ

6.6 OPTIMAL ORDER SIZE

6.7 CONCLUSIONS

ACKNOWLEDGMENT

Part IV: Optimal Trading

Introduction: Trading and Market Micro-structure

An on-going increase of computer-driven trading

Early academic answers and old practices

New practical needs and academic recent advances

7: Collective Portfolio Optimization in Brokerage Data: The Role of Transaction Cost Structure

7.1 INTRODUCTION

7.2 DESCRIPTION OF THE DATA

7.3 RESULTS

7.4 THE INFLUENCE OF TRANSACTION COSTS ON TRADING BEHAVIOR FROM OPTIMAL MEAN-VARIANCE PORTFOLIOS

7.5 DISCUSSION AND OUTLOOK

ACKNOWLEDGMENTS

8: Optimal Execution of Portfolio Transactions with Short-Term Alpha

8.1 INTRODUCTION

8.2 SHORT-TERM ALPHA DECAY AND HIDDEN ORDER ARBITRAGE THEORY

8.3 TOTAL COST DEFINITION AND CONSTRAINTS

8.4 TOTAL COST OPTIMIZATION

8.5 CONCLUSIONS

PROVISO

Combined References

Index

..................Content has been hidden....................

You can't read the all page of ebook, please click here login for view all page.
Reset
3.16.50.252