Analysis of Financial Time Series

Nonfiction, Science & Nature, Mathematics, Probability, Statistics, Business & Finance, Finance & Investing, Finance
Cover of the book Analysis of Financial Time Series by Ruey S. Tsay, Wiley
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Author: Ruey S. Tsay ISBN: 9781118017098
Publisher: Wiley Publication: October 26, 2010
Imprint: Wiley Language: English
Author: Ruey S. Tsay
ISBN: 9781118017098
Publisher: Wiley
Publication: October 26, 2010
Imprint: Wiley
Language: English

This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described.

The author begins with basic characteristics of financial time series data before covering three main topics:

  • Analysis and application of univariate financial time series
  • The return series of multiple assets
  • Bayesian inference in finance methods

Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets.

The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described.

The author begins with basic characteristics of financial time series data before covering three main topics:

Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets.

The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.

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