Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization

Author:   Xin Guo (Department of Statistics, Stanford University) ,  Tze Leung Lai (Stanford University, California, USA) ,  Howard Shek (Tower Research Capital, New York City, NY, USA) ,  Samuel Po-Shing Wong (5Lattice Securities Limited, Hong Kong, China)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367871819


Pages:   380
Publication Date:   10 December 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization


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Author:   Xin Guo (Department of Statistics, Stanford University) ,  Tze Leung Lai (Stanford University, California, USA) ,  Howard Shek (Tower Research Capital, New York City, NY, USA) ,  Samuel Po-Shing Wong (5Lattice Securities Limited, Hong Kong, China)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.453kg
ISBN:  

9780367871819


ISBN 10:   0367871815
Pages:   380
Publication Date:   10 December 2019
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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All in all, it is certainly a welcome addition to the nascent literature on this intriguing subject and recommended reading for those interested in quantitative trading strategies-academics, practitioners, and students alike. ~The American Statistician, Mikko S. Pakkanen


Author Information

Xin Guo is the Coleman Fung Chair Professor of Financial Modeling in the department of Industrial Engineering and Operations Research, UC Berkeley. She founded the Berkeley Risk Analysis and Data Analytics Research (RADAR) Lab and holds a courtesy appointment with the Lawrence Berkeley National Lab. Prior to UC Berkeley, she was a Research Staff Member at the IBM T. J. Watson Research Center and an Associate Professor at Cornell University. Her main research interests are stochastic control, stochastic processes and applications. In addition to high frequency trading modeling and analysis, her recent research includes singular controls, impulse controls, non-linear expectations, mean-field games, and filtration enlargement with application to credit risk. Tze Leung Lai is a Professor of Statistics and, by courtesy, of Health Research and Policy in the School of Medicine and of the Institute for Computational & Mathematical Engineering (ICME) in the School of Engineering at Stanford University. He is Director of the Financial and Risk Modeling Institute, Co-Director of the Biostatistics Core of the Stanford Cancer Institute, and Co-Director of the Center for Innovative Study Design at the Stanford School of Medicine. He has held regular and visiting faculty appointments at Columbia University, UC Berkeley, and Nankai University, and holds advisory positions with the University of Hong Kong, Peking University, and Tsinghua University. Howard Shek is a senior researcher at Tower Research Capital, where he has built and led the Core Research team with a mandate that covers the wide spectrum of research topics in automated trading. He has over 15 years of quantitative research and trading experience in fixed-income arbitrage, market microstructure, volatility estimation, option pricing, and portfolio theory, and has held senior trading and research positions at Merrill Lynch and J. P. Morgan, focus

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