An Introduction to High-Frequency Finance

Ramazan Gençay

ISBN 10: 0122796713 / ISBN 13: 9780122796715

Verlag: Academic Press, 2001

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -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. Englisch.

Bestandsnummer des Verkäufers 9780122796715

Bibliografische Details

• Titel: An Introduction to High-Frequency Finance
• Verlag: Academic Press
• Erscheinungsjahr: 2001
• Sprache: Englisch
• ISBN-10: 0122796713
• ISBN-13: 9780122796715
• Einband: Buch
• Zustand: Neu
• Abmessungen: 229B x 152 H x 22 T Millimeter Breite: 229 mm, Höhe: 152 mm, Tiefe: 22 mm
• Gewicht: 761 Gramm

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.