Hidden Markov models
applications to financial economics
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Author
Contributions
- Hamori, Shigeyuki, 1959- - Contributor
Publication
2004 - Kluwer Academic Publishers, Boston, Mass, Massachusetts
Language
English
Word Count
38,750 words, Guess
Page Count
155 pages
Identifiers
- Open LibraryOL3303963M
- ISBN-101402078994
- OCLC Control Number54905869
- OCLC Control Numberhiddenmarkovmode00bhar_189
- Library of Congress Control Number2004045848
and 2 more
- Goodreads4268501
- LibraryThing1610054
Classifications
- DDC330/.01/519233
- LCCHB143 .B48 2004
Description
"Markov chains have increasingly become a useful way of capturing the 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 the 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 on a more familiar level, we focus on the methodology based on hidden Markov processes. This will we believe, help the reader to develop a more in-depth understanding of the modeling issues, thereby benefiting their future research."--BOOK JACKET.
Subjects
Series Statement
- Advanced studies in theoretical and applied econometrics ;
Other Editions
- Hidden Markov models: applications to financial economics
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