Time series applications to finance with R and S-Plus /

"This book is designed to help readers grasp the conceptual underpinnings of time series modeling in order to gain a deeper understanding of the ever-changing dynamics of the financial world. It covers theory and application equally for readers from both financial and mathematical backgrounds. The b...

詳細記述

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書誌詳細
第一著者: Chan, Ngai Hang
団体著者: ebrary, Inc
フォーマット: 電子媒体 eBook
言語:英語
出版事項: Hoboken, N.J. : Wiley, 2010.
版:2nd ed.
主題:
オンライン・アクセス:An electronic book accessible through the World Wide Web; click to view
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その他の書誌記述
要約:"This book is designed to help readers grasp the conceptual underpinnings of time series modeling in order to gain a deeper understanding of the ever-changing dynamics of the financial world. It covers theory and application equally for readers from both financial and mathematical backgrounds. The book offers succinct coverage of standard topics in statistical time series - such as forecasting and spectral analysis - in a manner that is both technical and conceptual. Recent developments in nonstandard time series techniques such as Bayesian methods and arbitrage statistics have been added to this edition, and they are illustrated in detail with real financial examples. Subroutines in R and S-Plus are lavishly displayed throughout in this new edition. An author website provides instructor notations and additional software subroutines, as well as complete solutions to the exercises in the text."--
"This book is designed to help readers grasp the conceptual underpinnings of time series modeling in order to gain a deeper understanding of the ever-changing dynamics of the financial world. It covers theory and application equally for readers from both financial and mathematical backgrounds"--
物理的記述:xxiii, 296 p. : ill.
書誌:Includes bibliographical references and indexes.