02537nam a2200361 a 4500 ebr10444387 CaPaEBR m u cr cn||||||||| 100423s2010 njua sb 001 0 eng d 2010016632 9780470583623 (hardback) 9781118030714 (e-book) CaPaEBR CaPaEBR (OCoLC)705354491 HA30.3 .C47 2010eb 332.01/51955 22 Chan, Ngai Hang. Time series [electronic resource] : applications to finance with R and S-Plus / Ngai Hang Chan. 2nd ed. Hoboken, N.J. : Wiley, 2010. xxiii, 296 p. : ill. Includes bibliographical references and indexes. "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."-- Provided by publisher. "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"-- Provided by publisher. Electronic reproduction. Palo Alto, Calif. : ebrary, 2011. Available via World Wide Web. Access may be limited to ebrary affiliated libraries. Time-series analysis. Econometrics. Risk management. Electronic books. local ebrary, Inc. http://site.ebrary.com/lib/rucke/Doc?id=10444387 An electronic book accessible through the World Wide Web; click to view 246453 246453