Time Series
eBook - PDF

Time Series

Applications to Finance with R and S-Plus

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eBook - PDF

Time Series

Applications to Finance with R and S-Plus

Book details
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About This Book

A new edition of the comprehensive, hands-on guide to financial time series, now featuring S-PlusĀ® and R software

Time Series: Applications to Finance with R and S-PlusĀ®, Second Edition is designed to present an in-depth introduction to the conceptual underpinnings and modern ideas of time series analysis. Utilizing interesting, real-world applications and the latest software packages, this book successfully helps readers grasp the technical and conceptual manner of the topic in order to gain a deeper understanding of the ever-changing dynamics of the financial world.

With balanced coverage of both theory and applications, this Second Edition includes new content to accurately reflect the current state-of-the-art nature of financial time series analysis. A new chapter on Markov Chain Monte Carlo presents Bayesian methods for time series with coverage of Metropolis-Hastings algorithm, Gibbs sampling, and a case study that explores the relevance of these techniques for understanding activity in the Dow Jones Industrial Average. The author also supplies a new presentation of statistical arbitrage that includes discussion of pairs trading and cointegration. In addition to standard topics such as forecasting and spectral analysis, real-world financial examples are used to illustrate recent developments in nonstandard techniques, including:

  • Nonstationarity
  • Heteroscedasticity
  • Multivariate time series
  • State space modeling and stochastic volatility
  • Multivariate GARCH
  • Cointegration and common trends

The book's succinct and focused organization allows readers to grasp the important ideas of time series. All examples are systematically illustrated with S-PlusĀ® and R software, highlighting the relevance of time series in financial applications. End-of-chapter exercises and selected solutions allow readers to test their comprehension of the presented material, and a related Web site features additional data sets.

Time Series: Applications to Finance with R and S-PlusĀ® is an excellent book for courses on financial time series at the upper-undergraduate and beginning graduate levels. It also serves as an indispensible resource for practitioners working with financial data in the fields of statistics, economics, business, and risk management.

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Yes, you can access Time Series by Ngai Hang Chan in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2011
ISBN
9781118030714
Edition
2

Table of contents

  1. Time Series: Applications to Finance with R and S-PlusĀ®, Second Edition