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This is the survival guide for trading in a world where high-frequency trading predominates in markets, accounting for upwards of 60% of trading in equities and futures, and 40% in foreign exchange. High-frequency trading is the subject of extensive debate, particularly as to whether it is beneficial for traders and markets or instead allows some traders to benefit at others expense. This book provides you with an important overview and perspective on this area, with a particular focus on how low-frequency traders and asset managers can survive in the high frequency world.
With chapters written by the leading practitioners and academics in the area the book will show you how issues such as big data come into play, how high-frequency should affect optimal execution algorithms and how markets inter-connect in new ways that affect volatility and market stability. Contributors also discuss the new regulatory challenges that arise in the high frequency world.
Chapters include:
- Machine Learning for Market Microstructure and High-Frequency Trading (Michael Kearns and Yuriy Nevmyvaka)
- Execution Strategies in Fixed Income Markets (Robert Almgren)
- The Regulatory Challenge of High-Frequency Markets (Oliver Linton, Maureen O Hara and J.P. Zigrand)
- Do Algo Executions Leak Information? (George Sofianos and JuanJuan Xiang)
This book is essential reading for anybody who wants or needs to learn about this changing subject area, including institutional traders, exchanges and trading system operators, regulators and academics.
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