
Time Series
Applications to Finance
Ngai Hang Chan(Author)
Wiley (Publisher)
1st Edition
Published on 18. April 2002
Book
Hardback
XIV, 210 pages
978-0-471-41117-8 (ISBN)
Article exhausted; check for reprint
Description
Elements of Financial Time Series fills a gap in the market in the area of financial time series analysis by giving both conceptual and practical illustrations. Examples and discussions in the later chapters of the book make recent developments in time series more accessible. Examples from finance are maximized as much as possible throughout the book.
* Full set of exercises is displayed at the end of each chapter.
* First seven chapters cover standard topics in time series at a high-intensity level.
* Recent and timely developments in nonstandard time series techniques are illustrated with real finance examples in detail.
* Examples are systemically illustrated with S-plus with codes and data available on an associated Web site.
* Full set of exercises is displayed at the end of each chapter.
* First seven chapters cover standard topics in time series at a high-intensity level.
* Recent and timely developments in nonstandard time series techniques are illustrated with real finance examples in detail.
* Examples are systemically illustrated with S-plus with codes and data available on an associated Web site.
Reviews / Votes
"...polishes off all the usual topics in introductory time series analysis in a mere 89 pages..." (Technometrics, Vol. 44, No. 4, November 2002) "...developed for a quick course...the goal is to balance theoretical background with examples of applications." (Reference & Research Book News, August 2002) "...provides a gateway to higher things..." (Short Book Reviews, December 2002) "...should be useful for students who are studying methods of time series analysis..." (Mathematical Reviews, 2003e)More details
Series
Edition
1., Auflage
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
Ill.
Dimensions
Height: 24.1 cm
Width: 16.2 cm
Thickness: 20 mm
Weight
508 gr
ISBN-13
978-0-471-41117-8 (9780471411178)
Schweitzer Classification
Other editions
New editions

Book
10/2010
2nd Edition
Wiley
€143.50
Shipment within 10-20 days
Additional editions

Person
NGAI HANG CHAN, PhD, is Professor of Statistics and Director of the Risk Management Science Program at the Chinese University of Hong Kong and Professor of Statistics at Carnegie Mellon University.
Content
Preface.
Introduction.
Probability Models.
Autoregressive Moving Average Models.
Estimations in Time Domain.
Examples in SPLUS.
Forecasting.
Spectral Analysis.
Nonstationarity.
Heteroskedasticity.
Multivariate Time Series.
State Space Models.
Multivariate GARCH.
Cointegrations and Common Trends.
References.
Index.
Introduction.
Probability Models.
Autoregressive Moving Average Models.
Estimations in Time Domain.
Examples in SPLUS.
Forecasting.
Spectral Analysis.
Nonstationarity.
Heteroskedasticity.
Multivariate Time Series.
State Space Models.
Multivariate GARCH.
Cointegrations and Common Trends.
References.
Index.