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OverviewMarkov 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. Full Product DetailsAuthor: Ramaprasad Bhar , Shigeyuki HamoriPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of the original 1st ed. 2004 Volume: 40 Dimensions: Width: 15.50cm , Height: 0.90cm , Length: 23.50cm Weight: 0.454kg ISBN: 9781441954480ISBN 10: 1441954481 Pages: 162 Publication Date: 07 December 2010 Audience: Professional and scholarly , College/higher education , Professional and scholarly , Professional & Vocational , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: Out of stock  The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsVolatility in Growth Rate of Real GDP.- Linkages Among G7 Stock Markets.- Interplay between Industrial Production and Stock Market.- Linking Inflation and Inflation Uncertainty.- Exploring Permanent and Transitory Components of Stock Return.- Exploring the Relationship between Coincident Financial Market Indicators.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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