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by Thierry Foucault, Mathieu Rosenbaum, Charles-Albert Lehalle, Frédéric Abergel, J
Market Microstructure: Confronting Many Viewpoints
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
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