Optimal Mean Reversion Trading: Mathematical Analysis And Practical Applications
Optimal Mean Reversion Trading: Mathematical Analysis And Practical Applications - Cunxin Li,Tim Siu-tang  Leung Nedostupné

Optimal Mean Reversion Trading: Mathematical Analysis And Practical Applications

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 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… Přejít na celý popis

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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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Nakladatel
World Scientific Publishing Co Pte Ltd
Rozměr
251 x 236 x 15
jazyk
angličtina
Počet stran
220
Hmotnost
470 g
isbn
978-981-4725-91-0
Vazba
pevná vazba
datum vydání
13.01.2016
ean
9789814725910

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