Screen LibraryTime 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....
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| Published: |
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| Literature type: | Electronic eBook |
| Language: | English |
| Edition: | 2nd ed. |
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| Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9781118032466 |
| Summary: |
"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"-- |
| Carrier Form: | 1 online resource (xxiii, 296 pages) : illustrations |
| Bibliography: | Includes bibliographical references and indexes. |
| ISBN: |
9781118032466 (electronic bk.) 1118032462 (electronic bk.) 9781118030714 (electronic bk.) 1118030710 (electronic bk.) |
| Index Number: | HA30 |
| CLC: | F224.7 |
| Contents: | Front Matter -- Introduction -- Probability Models -- Autoregressive Moving Average Models -- Estimation in the Time Domain -- Examples in Splus and R -- Forecasting -- Spectral Analysis -- Nonstationarity -- Heteroskedasticity -- Multivariate Time Series -- State Space Models -- Multivariate GARCH -- Cointegrations and Common Trends -- Markov Chain Monte Carlo Methods -- Statistical Arbitrage -- Answers to Selected Exercises -- References -- Subject Index -- Author Index -- Wiley Series in Probability and Statistics. |