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Genre/Form: | Electronic books |
---|---|
Additional Physical Format: | Print version: Gençay, Ramazan. Introduction to wavelets and other filtering methods in finance and economics. San Diego, Calif. : Academic Press, ©2002 (DLC) 2001094298 (OCoLC)48241811 |
Material Type: | Document, Internet resource |
Document Type: | Internet Resource, Computer File |
All Authors / Contributors: |
Ramazan Gençay; Faruk Selçuk; Brandon Whitcher |
ISBN: | 9780122796708 0122796705 9780080509228 0080509223 1282284797 9781282284791 9786612284793 661228479X |
OCLC Number: | 213298471 |
Language Note: | English. |
Description: | 1 online resource (xxii, 359 pages) : illustrations |
Contents: | Preface -- Introduction -- Linear filters -- Optimum linear estimation -- Discrete wavelet transforms -- Wavelets and stationary processes -- Wavelet denoising -- Wavelets for variance-covariance estimation -- Artificial neural networks. |
Responsibility: | Ramazan Gençay, Faruk Selçuk, Brandon Whitcher. |
More information: |
Abstract:
Reviews
Publisher Synopsis
Pre-publication Reviews "The authors present, in a simple fashion, a new class of filters that greatly expands on those previously available, allowing greater flexibility and generating models with time-varying specifications. The book considers familiar techniques and shows how these can be viewed in new ways, illustrating them with empirical studies from finance. It is particularly recommended for any time series econometrician wanting to keep up to date." --CLIVE W.J. GRANGER, Professor of Economics, University of California, San Diego "There are many books on linear filters and wavelets, but there is only one book, Gencay, Selcuk, and Whitcher, that provides an introduction to the field for economists and financial analysts and the motivation to study the subject. This book contains many practical economic and financial examples that will stimulate academic and professional research for years to come. This book is a most welcome addition to the wavelet literature." --JAMES B. RAMSEY, Professor of Economics, New York University "The authors have provided a very comprehensive account of the filtering literature, including wavelets, a tool not widely used in economics and finance. The volume includes many numerical illustrations, and should be accessible to a wide range of researchers." --PETER M. ROBINSON, Tooke Professor of Economic Science and Statistics and Leverhulme Research Professor, London School of Economics, U.K. "This timely volume will be of interest to anyone who wants to underst and the latest technology for analyzing economic and financial time series. The authors are to be commended for their clear and comprehensive presentation of a fascinating and powerful approach to time-series analysis." --Halbert White, University of California, San Diego Reviews "This book sells itself short by being called "An Introduction..." OK, so it does start at the ground floor, but this is one skyscraper of a book. Without any reservations we give it the thumbs up." -www.Wilmott.com "...the book is a stimulating introduction which [will] induce the reader to further development and application of the wavelets and the neural networks in the fields of econometrics and finance." --MATHEMATICAL REVIEWS Read more...


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Related Subjects:(13)
- Finance -- Mathematical models.
- Economics -- Mathematical models.
- Wavelets (Mathematics)
- Econometrics.
- Finances -- Modèles mathématiques.
- Économie politique -- Modèles mathématiques.
- Ondelettes.
- Économétrie.
- BUSINESS & ECONOMICS -- Economics -- Theory.
- Wavelets.
- Econometrische modellen.
- Tijdreeksen.
- Stochastische filters.
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