An Introduction to High-Frequency Finance

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9780122796715: An Introduction to High-Frequency Finance

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 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.

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From the Back Cover:

"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
"An Introduction to High-Frequency Finance by the research team from Olsen & Associates is an amazing presentation of their work over the last decade and a half examining high-frequency, primarily currency, data. The volume includes details of data handling, filtering methods, scaling procedures, volatility models, automatic market making and trading rules that for many years were proprietary information. I highly recommend the book for anyone using high-frequency data."
--Robert Engle, Department of Finance, Stern School, NYU and Department of Economics, University of California, San Diego
"At long last, the study of financial prices is moving beyond convenient oversimplifications. For providing much of the best data and an indispensable bridge between the financial and academic communities, this flowering is deeply indebted to the group led by Dr. Richard Olsen.
This group and its alumni have also analyzed their own data. That work, which I often quote, has now been collected and extended in a book. I shall wear it out by constant use and it is a delight to recommend it to the emerging rational finance community."
--Benoit B. Mandelbrot, Sterling Professor of Mathematical Sciences, Yale University
An Introduction to High-Frequency Finance is the first and only source of unified information about high-frequency data. It 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.
For further information on this title, please visit our web site: www.academicpress.com/sbe/authors

About the Author:

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.

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Gençay, Ramazan, Dacorogna, Michel, Mull
Editorial: Academic Press (2017)
ISBN 10: 0122796713 ISBN 13: 9780122796715
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Descripción Academic Press, 2017. Hardcover. Estado de conservación: New. This item is printed on demand. Nº de ref. de la librería P110122796713

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Richard Olsen
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Descripción Elsevier Science Publishing Co Inc, United States, 2001. Hardback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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 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. Nº de ref. de la librería EOD9780122796715

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Gencay, Muller, Olsen & Pictet Dacorogna
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Descripción Academic Press, 2001. Hardcover. Estado de conservación: New. Nº de ref. de la librería DADAX0122796713

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Richard Olsen
Editorial: Elsevier Science Publishing Co Inc, United States (2001)
ISBN 10: 0122796713 ISBN 13: 9780122796715
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Descripción Elsevier Science Publishing Co Inc, United States, 2001. Hardback. Estado de conservación: New. Language: English . Brand New Book. 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 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. Nº de ref. de la librería AAZ9780122796715

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Richard Olsen
Editorial: Elsevier Science Publishing Co Inc, United States (2001)
ISBN 10: 0122796713 ISBN 13: 9780122796715
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Descripción Elsevier Science Publishing Co Inc, United States, 2001. Hardback. Estado de conservación: New. Language: English . Brand New Book. 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 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. Nº de ref. de la librería AAZ9780122796715

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Ramazan Gençay; Michel Dacorogna; Ulrich A. Muller; Olivier Pictet; Richard Olsen
Editorial: Academic Press (2001)
ISBN 10: 0122796713 ISBN 13: 9780122796715
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Descripción Academic Press, 2001. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0122796713

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ISBN 10: 0122796713 ISBN 13: 9780122796715
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Ramazan Gençay, Michel Dacorogna, Ulrich A. Muller, Olivier Pictet, Richard Olsen
Editorial: Elsevier Science 2001-05-29, San Diego (2001)
ISBN 10: 0122796713 ISBN 13: 9780122796715
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Descripción Elsevier Science 2001-05-29, San Diego, 2001. hardback. Estado de conservación: New. Nº de ref. de la librería 9780122796715

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Ramazan Gencay, Michel Dacorogna, Ulrich Muller, Richard Olsen, Olivier Pictet
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ISBN 10: 0122796713 ISBN 13: 9780122796715
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Descripción Elsevier Science Publishing Co Inc. Hardback. Estado de conservación: new. BRAND NEW, An Introduction to High-Frequency Finance, Ramazan Gencay, Michel Dacorogna, Ulrich Muller, Richard Olsen, Olivier Pictet, 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 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. Nº de ref. de la librería B9780122796715

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Gençay, Ramazan; Dacorogna, Michel; Muller, Ulrich A.; Pictet, Olivier; Olsen, Richard
Editorial: Academic Press
ISBN 10: 0122796713 ISBN 13: 9780122796715
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Descripción Academic Press. Hardcover. Estado de conservación: New. 0122796713 New Condition. Nº de ref. de la librería NEW6.0040236

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