Hidden Markov Models in Finance

Author:   Rogemar S. Mamon ,  Robert J Elliott
Publisher:   Springer-Verlag New York Inc.
Edition:   2007 ed.
Volume:   104
ISBN:  

9780387710815


Pages:   186
Publication Date:   24 April 2007
Format:   Hardback
Availability:   In Print   Availability explained
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Hidden Markov Models in Finance


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Overview

A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems in today's globalized markets. Hidden Markov Models in Finance by Mamon and Elliott will be the first systematic application of these methods to some special kinds of financial problems; namely, pricing options and variance swaps, valuation of life insurance policies, interest rate theory, credit risk modeling, risk management, analysis of future demand and inventory level, testing foreign exchange rate hypothesis, and early warning systems for currency crises. This book provides researchers and practitioners with analyses that allow them to sort through the random ""noise"" of financial markets (i.e., turbulence, volatility, emotion, chaotic events, etc.) and analyze the fundamental components of economic markets. Hence, Hidden Markov Models in Finance provides decision makers with a clear, accurate picture of core financial components by filtering out the random noise in financial markets.  

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Author:   Rogemar S. Mamon ,  Robert J Elliott
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2007 ed.
Volume:   104
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   1.040kg
ISBN:  

9780387710815


ISBN 10:   0387710817
Pages:   186
Publication Date:   24 April 2007
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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