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An Introduction to High-Frequency Finance
- 1st Edition - April 30, 2001
- Authors: Ramazan Gençay, Michel Dacorogna, Ulrich A. Muller, Olivier Pictet, Richard Olsen
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 2 7 9 6 7 1 - 5
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 4 9 9 0 4 - 8
Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters… Read more
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Request a sales quoteLiquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data.This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.
"The authors have shaped the field of high-frequency data in finance; the text provides an excellent summary of their pioneering work."
—Paul Embrechts, Professor of Mathematics, ETH Zurich
—Paul Embrechts, Professor of Mathematics, ETH Zurich
Introduction.
Markets and Data.
Time Series of Interest.
Adaptive Data Cleaning.
Basic Stylized Facts.
Modeling Seasonal Volatility.
Realized Volatility Dynamics.
Volatility Processes.
Forecasting Risk and Return.
Correlation and Multivariate Risk.
Trading Models.
Toward a Theory of Heterogeneous Markets.
Bibliography.
Index.
Markets and Data.
Time Series of Interest.
Adaptive Data Cleaning.
Basic Stylized Facts.
Modeling Seasonal Volatility.
Realized Volatility Dynamics.
Volatility Processes.
Forecasting Risk and Return.
Correlation and Multivariate Risk.
Trading Models.
Toward a Theory of Heterogeneous Markets.
Bibliography.
Index.
- No. of pages: 416
- Language: English
- Edition: 1
- Published: April 30, 2001
- Imprint: Academic Press
- Hardback ISBN: 9780122796715
- eBook ISBN: 9780080499048
RG
Ramazan Gençay
Ramazan Gençay is a professor in the economics department at Simon Fraser University. His areas of specialization are financial econometrics, nonlinear time series, nonparametric econometrics, and chaotic dynamics. His publications appear in finance, economics, statistics and physics journals. His work has appeared in the Journal of the American Statistical Association, Journal of Econometrics, and Physics Letters A.
Affiliations and expertise
Simon Fraser University, Burnaby, British Columbia, CanadaMD
Michel Dacorogna
Affiliations and expertise
Zurich Re, SwitzerlandUM
Ulrich A. Muller
Affiliations and expertise
Olsen& Associates, SwitzerlandOP
Olivier Pictet
Affiliations and expertise
Olse & Associates, Zurich, SwitzerlandRO
Richard Olsen
Affiliations and expertise
Olsen & Associates, Zurich, SwitzerlandRead An Introduction to High-Frequency Finance on ScienceDirect