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Ruey S. Tsay
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Analysis of Financial Time Series Hardcover – 23 September 2005

by Ruey S. Tsay (Author)
4.4 out of 5 stars 6
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There is a newer edition of this item:

Analysis of Financial Time Series
Analysis of Financial Time Series
$181.96
(70)
Only 1 left in stock.
Provides statistical tools and techniques needed to understand today′s financial markets

The Second Edition of this critically acclaimed text provides a comprehensive and systematic introduction to financial econometric models and their applications in modeling and predicting financial time series data. This latest edition continues to emphasize empirical financial data and focuses on real–world examples. Following this approach, readers will master key aspects of financial time series, including volatility modeling, neural network applications, market microstructure and high–frequency financial data, continuous–time models and Ito′s Lemma, Value at Risk, multiple returns analysis, financial factor models, and econometric modeling via computation–intensive methods.

The author begins with the basic characteristics of financial time series data, setting the foundation for the three main topics:

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

    This new edition is a thoroughly revised and updated text, including the addition of S–Plus® commands and illustrations. Exercises have been thoroughly updated and expanded and include the most current data, providing readers with more opportunities to put the models and methods into practice. Among the new material added to the text, readers will find:

    • Consistent covariance estimation under heteroscedasticity and serial correlation
    • Alternative approaches to volatility modeling
    • Financial factor models
    • State–space models
    • Kalman filtering
    • Estimation of stochastic diffusion models

      The tools provided in this text aid readers in developing a deeper understanding of financial markets through firsthand experience in working with financial data. This is an ideal textbook for MBA students as well as a reference for researchers and professionals in business and finance.

Previous page
  1. Part of series
    Wiley Series in Probability and Statistics
  2. Print length
    640 pages
  3. Language
    English
  4. Publisher
    Wiley–Blackwell
  5. Publication date
    23 September 2005
  6. Dimensions
    16.45 x 3.39 x 23.85 cm
  7. ISBN-10
    0471690740
  8. ISBN-13
    978-0471690740
  9. See all details
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Product description

Review

"…too wonderful [a] book to be missed by any one who works in time series analysis." (Journal of Statistical Computation and Simulation, October 2006)

"...an excellent account of financial time series...[for] students and especially to practitioners, who really need a book with enough...theoretical concepts...but also with plenty of intuitive insight of how exactly these models work…" (MAA Reviews, January 2, 2006)

From the Back Cover

Provides statistical tools and techniques needed to understand today′s financial markets

The Second Edition of this critically acclaimed text provides a comprehensive and systematic introduction to financial econometric models and their applications in modeling and predicting financial time series data. This latest edition continues to emphasize empirical financial data and focuses on real–world examples. Following this approach, readers will master key aspects of financial time series, including volatility modeling, neural network applications, market microstructure and high–frequency financial data, continuous–time models and Ito′s Lemma, Value at Risk, multiple returns analysis, financial factor models, and econometric modeling via computation–intensive methods.

The author begins with the basic characteristics of financial time series data, setting the foundation for the three main topics:

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

This new edition is a thoroughly revised and updated text, including the addition of S–Plus® commands and illustrations. Exercises have been thoroughly updated and expanded and include the most current data, providing readers with more opportunities to put the models and methods into practice. Among the new material added to the text, readers will find:

  • Consistent covariance estimation under heteroscedasticity and serial correlation
  • Alternative approaches to volatility modeling
  • Financial factor models
  • State–space models
  • Kalman filtering
  • Estimation of stochastic diffusion models

The tools provided in this text aid readers in developing a deeper understanding of financial markets through firsthand experience in working with financial data. This is an ideal textbook for MBA students as well as a reference for researchers and professionals in business and finance.

Product details

  • Publisher ‏ : ‎ Wiley–Blackwell; 2nd Edition (23 September 2005)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 640 pages
  • ISBN-10 ‏ : ‎ 0471690740
  • ISBN-13 ‏ : ‎ 978-0471690740
  • Dimensions ‏ : ‎ 16.45 x 3.39 x 23.85 cm
  • Customer Reviews:
    4.4 out of 5 stars 6

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Ruey S. Tsay

Ruey S. Tsay

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4.4 out of 5 stars
4.4 out of 5
6 global ratings

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Z. Ge
5.0 out of 5 stars will become a classical
Reviewed in the United States on 7 June 2010
Verified Purchase
I am new to TS analysis and I bought this book because I am always interested in how statistics works in finance. I can say this is probably the best book for self-study. The writting is clear and the examples are both interesting and easy to follow.

Interestingly the other day I asked my friend, who has a Ph.D. in statistics, to recommend a book in time series, and he immediately produced this book from his bag and said this is a very good book.
3 people found this helpful
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Daniel C
5.0 out of 5 stars Plenty of examples that can be easily adapted to R
Reviewed in the United States on 2 April 2016
Verified Purchase
A very detailed treatise of all things time series. Plenty of examples that can be easily adapted to R. I referred to it often when working as a high frequency quant. Highly recommended.
4 people found this helpful
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Adam
3.0 out of 5 stars Decent textbook
Reviewed in the United States on 11 February 2016
Verified Purchase
It was a textbook that I needed. Did just fine.
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resimatic
4.0 out of 5 stars Great price though
Reviewed in the United States on 22 December 2015
Verified Purchase
In decent shape, but my copy did have a lot of markup from a previous owner. Great price though.
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Hala AL Rashed
5.0 out of 5 stars Good
Reviewed in the United States on 8 August 2019
Verified Purchase
Good
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