Review
“…in my view, this is the number one reference for a course on financial econometrics...” (Statistical Papers, Vol.45, No.4, October 2004)

“…covers classical and new topics of financial econometrics…lots of examples, exercises and references at each chapter…” (Zentralblatt Math, Vol.1037, No.12, 2004)

"A textbook for graduate students of business or of mathematics with a business orientation." (Reference & Research Book News, May 2002)

"...an introductory book intended to provide a comprehensive and systematic account of financial econometric models and their application to modeling and prediciont..." (Quarterly of Applied Mathematics, Vol. LX, No. 2, June 2002)

"...an insightful and timely text…compelling reading...I would strongly consider using this text.." (Journal of Financial Research, Fall 2002)

"Always looking for a newer and better book, I will certainly enjoy having Analysis of Financial Time Series as my new primary resource." (Technometrics, Vol. 44, No. 4, November 2002)


Review
“…in my view, this is the number one reference for a course on financial econometrics...” (Statistical Papers, Vol.45, No.4, October 2004)

“…covers classical and new topics of financial econometrics…lots of examples, exercises and references at each chapter…” (Zentralblatt Math, Vol.1037, No.12, 2004)

"A textbook for graduate students of business or of mathematics with a business orientation." (Reference & Research Book News, May 2002)

"...an introductory book intended to provide a comprehensive and systematic account of financial econometric models and their application to modeling and prediciont..." (Quarterly of Applied Mathematics, Vol. LX, No. 2, June 2002)

"...an insightful and timely text…compelling reading...I would strongly consider using this text.." (Journal of Financial Research, Fall 2002)

"Always looking for a newer and better book, I will certainly enjoy having Analysis of Financial Time Series as my new primary resource." (Technometrics, Vol. 44, No. 4, November 2002)


Book Description
Fundamental topics and new methods in time series analysis
Analysis of Financial Time Series provides a comprehensive and systematic introduction to financial econometric models and their application 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; and Bayesian inference in finance methods. Timely topics and recent results include:
* Value at Risk (VaR)
* High-frequency financial data analysis
* Markov Chain Monte Carlo (MCMC) methods
* Derivative pricing using jump diffusion with closed-form formulas
* VaR calculation using extreme value theory based on a non-homogeneous two-dimensional Poisson process
* Multivariate volatility models with time-varying correlations
Ideal as a fundamental introduction to time series for MBA students or as a reference for researchers and practitioners in business and finance, Analysis of Financial Time Series offers an in-depth and up-to-date account of these vital methods.


Download Description
Fundamental topics and new methods in time series analysis
Analysis of Financial Time Series provides a comprehensive and systematic introduction to financial econometric models and their application 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; and Bayesian inference in finance methods. Timely topics and recent results include:
* Value at Risk (VaR)
* High-frequency financial data analysis
* Markov Chain Monte Carlo (MCMC) methods
* Derivative pricing using jump diffusion with closed-form formulas
* VaR calculation using extreme value theory based on a non-homogeneous two-dimensional Poisson process
* Multivariate volatility models with time-varying correlations
Ideal as a fundamental introduction to time series for MBA students or as a reference for researchers and practitioners in business and finance, Analysis of Financial Time Series offers an in-depth and up-to-date account of these vital methods.


Book Info
Provides a comprehensive and systematic introduction to financial econometric models and their application to modeling and prediction of financial time series data.


From the Back Cover
Fundamental topics and new methods in time series analysis Analysis of Financial Time Series provides a comprehensive and systematic introduction to financial econometric models and their application 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; and Bayesian inference in finance methods. Timely topics and recent results include: Value at Risk (VaR) High-frequency financial data analysis Markov Chain Monte Carlo (MCMC) methods Derivative pricing using jump diffusion with closed-form formulas VaR calculation using extreme value theory based on a non-homogeneous two-dimensional Poisson process Multivariate volatility models with time-varying correlations Ideal as a fundamental introduction to time series for MBA students or as a reference for researchers and practitioners in business and finance, Analysis of Financial Time Series offers an in-depth and up-to-date account of these vital methods.


About the Author
RUEY S. TSAY, PhD, is H. G. B. Alexander Professor of Econometrics and Statistics in the Graduate School of Business at the University of Chicago.

FROM THE PUBLISHER

This comprehensive book introduces the theory and applications of time series methods with an emphasis on statistical content and applications. It provides professionals with state-of-the-art methods for applying time series analysis to their work with real-life examples from financial markets.

SYNOPSIS