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Analysis of financial time series / Ruey S Tsay.

By: Material type: TextTextLanguage: English Publication details: New Delhi : John Wiley & Sons Inc, 2018.Edition: 3rd edDescription: xv, p77. : ill. ; 23 cmISBN:
  • 9788126548934
Uniform titles:
  • Analysis of financial time series
Subject(s): DDC classification:
  • 23 332.0151955 TSA
Summary: 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.
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Item type Current library Collection Call number Status Date due Barcode
Text Books Text Books CUTN Central Library Social Sciences Non-fiction 332.0151955 TSA (Browse shelf(Opens below)) Available 47733

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.

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