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Hidden Markov Models: Applications to Financial Economics (Advanced Studies in Theoretical and Applied Econometrics, 40) - Hardcover
Synopsis
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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Hidden Markov Models
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Hidden Markov Models: Applications to Financial Economics (Advanced Studies in Theoretical and Applied Econometrics, 40)
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Hidden Markov Models (Hardcover)
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Springer-Verlag New York Inc., New York, NY, 2004
ISBN 10: 1402078994
ISBN 13: 9781402078996
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Hardcover. Condition: new. Hardcover. 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. Markov chains have increasingly become useful way of capturing stochastic nature of many economic and financial variables. The main aim of Hidden Markov Models: Applications to Financial Economics is to make such techniques available to more researchers in financial economics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781402078996
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Hidden Markov Models : Applications To Financial Economics
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Hidden Markov Models: Applications to Financial Economics (Advanced Studies in Theoretical and Applied Econometrics, 40)
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Hidden Markov Models
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 182 pp. Englisch. Seller Inventory # 9781402078996
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