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Optimal Mean Reversion Trading: Mathematical Analysis And Practical Applications (modern Trends In Financial Engineering) [Hardcover]

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  • Category: Books (Business & Economics)
  • Author:  Tim Siu Leung, Xin Li
  • Author:  Tim Siu Leung, Xin Li
  • ISBN-10:  9814725919
  • ISBN-10:  9814725919
  • ISBN-13:  9789814725910
  • ISBN-13:  9789814725910
  • Publisher:  World Scientific Publishing Company
  • Publisher:  World Scientific Publishing Company
  • Pages:  220
  • Pages:  220
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jun-2016
  • Pub Date:  01-Jun-2016
  • SKU:  9814725919-11-MPOD
  • SKU:  9814725919-11-MPOD
  • Item ID: 106349379
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 07 to Oct 09
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications provides a systematic study to the practical problem of optimal trading in the presence of mean-reverting price dynamics. It is self-contained and organized in its presentation, and provides rigorous mathematical analysis as well as computational methods for trading ETFs, options, futures on commodities or volatility indices, and credit risk derivatives.This book offers a unique financial engineering approach that combines novel analytical methodologies and applications to a wide array of real-world examples. It extracts the mathematical problems from various trading approaches and scenarios, but also addresses the practical aspects of trading problems, such as model estimation, risk premium, risk constraints, and transaction costs. The explanations in the book are detailed enough to capture the interest of the curious student or researcher, and complete enough to give the necessary background material for further exploration into the subject and related literature.This book will be a useful tool for anyone interested in financial engineering, particularly algorithmic trading and commodity trading, and would like to understand the mathematically optimal strategies in different market environments.
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