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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Hidden Markov Models in Finance - Further Developments and Applications, Volume II (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R3,356
Discovery Miles 33 560
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Hidden Markov Models in Finance - Further Developments and Applications, Volume II (Paperback, Softcover reprint of the original 1st ed. 2014)
Series: International Series in Operations Research & Management Science, 209
Expected to ship within 18 - 22 working days
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Since the groundbreaking research of Harry Markowitz into the
application of operations research to the optimization of
investment portfolios, finance has been one of the most important
areas of application of operations research. The use of hidden
Markov models (HMMs) has become one of the hottest areas of
research for such applications to finance. This handbook offers
systemic applications of different methodologies that have been
used for decision making solutions to the financial problems of
global markets. As the follow-up to the authors' Hidden Markov
Models in Finance (2007), this offers the latest research
developments and applications of HMMs to finance and other related
fields. Amongst the fields of quantitative finance and actuarial
science that will be covered are: interest rate theory,
fixed-income instruments, currency market, annuity and insurance
policies with option-embedded features, investment strategies,
commodity markets, energy, high-frequency trading, credit risk,
numerical algorithms, financial econometrics and operational risk.
Hidden Markov Models in Finance: Further Developments and
Applications, Volume II presents recent applications and case
studies in finance and showcases the formulation of emerging
potential applications of new research over the book's 11 chapters.
This will benefit not only researchers in financial modeling, but
also others in fields such as engineering, the physical sciences
and social sciences. Ultimately the handbook should prove to be a
valuable resource to dynamic researchers interested in taking full
advantage of the power and versatility of HMMs in accurately and
efficiently capturing many of the processes in the financial
market.
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