EconPapers    
Economics at your fingertips  
 

Preface

Yacine Ait-Sahalia and Jean Jacod
Additional contact information
Jean Jacod: Institut de Mathématiques de Jussieu, Paris

A chapter in High-Frequency Financial Econometrics, 2014 from Princeton University Press

Abstract: 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.

Keywords: high-frequency; trading; algorithm; computer; compuerized; stocks; milliseconds; statistics; econometric; analyze; finance; financial; data; technology; technological; strategies; emerging; tools; analysis; mathematics; stochastic; asymptotic; estimation; volatility; model; microstructure; jump (search for similar items in EconPapers)
Date: 2014
ISBN: 9780691161433
References: Add references at CitEc
Citations:

Downloads: (external link)
http://assets.press.princeton.edu/chapters/p10261.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pup:chapts:10261-0

Access Statistics for this chapter

More chapters in Introductory Chapters from Princeton University Press
Bibliographic data for series maintained by Webmaster ().

 
Page updated 2025-03-19
Handle: RePEc:pup:chapts:10261-0