Hidden Markov Models in Finance Softcover reprint of hardcover 1st ed. 2007 Edition

Hidden Markov Models in Finance Softcover reprint of hardcover 1st ed. 2007 Edition book cover

Hidden Markov Models in Finance Softcover reprint of hardcover 1st ed. 2007 Edition

Author(s): Rogemar S. Mamon (Editor), Robert J Elliott

  • Publisher: Springer
  • Publication Date: November 25, 2010
  • Edition: Softcover reprint of hardcover 1st ed. 2007
  • Language: English
  • Print length: 206 pages
  • ISBN-10: 1441943803
  • ISBN-13: 9781441943804

Book Description

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 Softcover reprint of hardcover 1st ed. 2007 Edition 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 Softcover reprint of hardcover 1st ed. 2007 Edition provides decision makers with a clear, accurate picture of core financial components by filtering out the random noise in financial markets.

Editorial Reviews

From the Back Cover

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 Softcover reprint of hardcover 1st ed. 2007 Edition 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 Softcover reprint of hardcover 1st ed. 2007 Edition 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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