High-Frequency Financial Econometrics

At-Sahalia, Yacine, Jacod, Jean

Published by Princeton University Press, 2014
ISBN 10: 0691161437 / ISBN 13: 9780691161433
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High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. This book introduces readers to these emerging methods and tools of analysis. Num Pages: 688 pages, 35 line illus. 3 tables. BIC Classification: KCA; KCH; KFF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 242 x 157 x 42. Weight in Grams: 1086. . 2014. Hardcover. . . . . Books ship from the US and Ireland. Bookseller Inventory # V9780691161433

Bibliographic Details

Title: High-Frequency Financial Econometrics
Publisher: Princeton University Press
Publication Date: 2014
Binding: Hardcover
Book Condition: New

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Aït-Sahalia, Yacine; Jacod, Jean
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Book Description Princeton University Press, United States, 2014. Hardback. Book Condition: New. 236 x 152 mm. Language: English . Brand New Book. High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Ait-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Ait-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Ait-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike. Bookseller Inventory # AAZ9780691161433

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Book Description Princeton University Press, United States, 2014. Hardback. Book Condition: New. 236 x 152 mm. Language: English . Brand New Book. High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Ait-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Ait-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Ait-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike. Bookseller Inventory # AAZ9780691161433

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Book Description Princeton University Press. Hardback. Book Condition: new. BRAND NEW, High-Frequency Financial Econometrics, Yacine Ait-Sahalia, Jean Jacod, High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Ait-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Ait-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Ait-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike. Bookseller Inventory # B9780691161433

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