European University Institute Library

High-frequency financial econometrics, Yacine Aït-Sahalia, Jean Jacod

Label
High-frequency financial econometrics, Yacine Aït-Sahalia, Jean Jacod
Language
eng
Bibliography note
Includes bibliographical references (pages 633-659) and index
Illustrations
illustrations
Index
index present
Literary Form
non fiction
Main title
High-frequency financial econometrics
Nature of contents
bibliography
Oclc number
861666232
Responsibility statement
Yacine Aït-Sahalia, Jean Jacod
Summary
"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 Aït-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. Aït-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.Aït-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."--, Provided by publisher
Contributor
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