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Hidden Markov Models: Applications to Financial Economics 2004 Edition
Contributor(s): Bhar, Ramaprasad (Author), Hamori, Shigeyuki (Author)

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 ISBN: 1402078994     ISBN-13: 9781402078996
Publisher: Springer
OUR PRICE: $104.49  

Binding Type: Hardcover
Published: July 2004
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Annotation: Markov chains have increasingly become useful way of capturing stochastic nature of many economic and financial variables. Although the hidden Markov processes have been widely employed for some time in many engineering applications e.g. speech recognition, its effectiveness has now been recognized in areas of social science research as well. The main aim of Hidden Markov Models: Applications to Financial Economics is to make such techniques available to more researchers in financial economics. As such we only cover the necessary theoretical aspects in each chapter while focusing on real life applications using contemporary data mainly from OECD group of countries. The underlying assumption here is that the researchers in financial economics would be familiar with such application although empirical techniques would be more traditional econometrics. Keeping the application level in a more familiar level, we focus on the methodology based on hidden Markov processes. This will, we believe, help the reader to develop more in-depth understanding of the modeling issues thereby benefiting their future research.

Click for more in this series: Advanced Studies in Theoretical and Applied Econometrics
Additional Information
BISAC Categories:
- Business & Economics | Econometrics
- Business & Economics | Public Finance
- Business & Economics | International - Economics
Dewey: 330.015
LCCN: 2004045848
Series: Advanced Studies in Theoretical and Applied Econometrics
Physical Information: 0.58" H x 6.28" W x 9.76" L (0.95 lbs) 155 pages
Features: Bibliography, Illustrated, Index, Table of Contents
 
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Publisher Description:
Markov chains have increasingly become useful way of capturing stochastic nature of many economic and financial variables. Although the hidden Markov processes have been widely employed for some time in many engineering applications e.g. speech recognition, its effectiveness has now been recognized in areas of social science research as well. The main aim of Hidden Markov Models: Applications to Financial Economics is to make such techniques available to more researchers in financial economics. As such we only cover the necessary theoretical aspects in each chapter while focusing on real life applications using contemporary data mainly from OECD group of countries. The underlying assumption here is that the researchers in financial economics would be familiar with such application although empirical techniques would be more traditional econometrics. Keeping the application level in a more familiar level, we focus on the methodology based on hidden Markov processes. This will, we believe, help the reader to develop more in-depth understanding of the modeling issues thereby benefiting their future research.
 
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