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Analysis of Financial Time Series

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( 109 ratings, 6 reviews)
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Analysis of Financial Time Series by Ruey S. Tsay provides a comprehensive introduction to the techniques and methods used in financial time series analysis. The book covers concepts like modelling asset returns and exploring volatility models, along with multivariate time series models. It integrates finance theory with statistical methods, offering practical applications for a variety of real-world financial data.
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Format: Hardback
$28199
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book may appeal to you if you are keen on exploring advanced statistical methods for financial data analysis. It's a valuable resource for those interested in the intricacies of financial time series and offers insights into models and tools used to understand market behaviour. Whether you're a student, researcher, or finance professional, you might find its practical approach to complex concepts both enlightening and useful.

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Analysis of Financial Time Series

Analysis of Financial Time Series, Third Edition 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.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Analysis of Financial Time Series provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modelling and prediction of financial time series data. It utilises 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, realised volatility, and credit risk modelling; 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 analysing these series, and gain experience in financial applications of various econometric methods.

Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Analysis of Financial Time Series is praised as an ideal introductory text for graduate courses and a valuable supplement for upper-undergraduate statistics courses, as noted in Mathematical Reviews. Zentralblatt MATH highlights its usefulness for both students and professionals. BookPleasures.com commends its comprehensive coverage from basic to advanced time series concepts and its practical insights. Insurance News Net appreciates its broad and systematic introduction to financial econometric models using real-world examples and data.

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Book Details

INFORMATION

ISBN: 9780470414354

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 10 September 2010

Country: United States

Imprint: John Wiley & Sons Inc

Edition: 3rd edition

Illustration: Charts: 17 B&W, 0 Color; Photos: 0 B&W, 0 Color; Drawings: 3 B&W, 0 Color; Tables: 0 B&W, 0 Color; Graphs: 142 B&W, 0 Color

Audience: Professional and scholarly

DIMENSIONS

Spine width: 38.0mm

Width: 158.0mm

Height: 236.0mm

Weight: 1111g

Pages: 720

About the Author

RUEY S. TSAY, PhD, is H. G. B. Alexander Professor of Econometrics and Statistics at the University of Chicago Booth School of Business. Dr. Tsay has written over 100 published articles in the areas of business and economic forecasting, data analysis, risk management, and process control, and he is the coauthor of A Course in Time Series Analysis (Wiley). Dr. Tsay is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, the Royal Statistical Society, and Academia Sinica.

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