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Hidden Markov models in finance : further developments and applications. Volume II / Rogemar S. Mamon, Robert J. Elliott.

Mamon, Rogemar S., author.
2014
HG106
Available Online
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Title
Hidden Markov models in finance : further developments and applications. Volume II / Rogemar S. Mamon, Robert J. Elliott.
Author
Mamon, Rogemar S., author.
ISBN
9781489974426 electronic book
1489974423 electronic book
9781489974419
DOI
https://doi.org/10.1007/978-1-4899-7442-6
Published
New York, NY : Springer, 2014.
Language
English
Description
1 online resource (286 pages) : illustrations.
Item Number
10.1007/978-1-4899-7442-6 doi
Call Number
HG106
Dewey Decimal Classification
519.2/33
Summary
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 books 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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Access limited to authorized users.
Source of Description
Description based on print version record.
Series
International series in operations research & management science ; 209.
Available in Other Form
Hidden Markov models in finance. Mamon, Robert J. Elliott
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Robustification of an on-line EM algorithm for modelling asset prices within an HMM
Stochastic volatility or stochastic central tendency: evidence from a hidden Markov model of the short-term interest rate
An econometric model of the term structure of interest rates under regime-switching risk
The LIBOR market model: a Markov-switching jump diffusion extension
Exchange rates and net portfolio flows: a Markov-switching approach
Hedging costs for variable annuities under regime-switching
A stochastic approximation approach for trend-following trading
A hidden Markov-modulated jump diffusion model for European option pricing
An exact formula for pricing American exchange options with regime switching
Parameter estimation in a weak hidden Markov model with independent drift and volatility
Parameter estimation in a regime-switching model with non-normal noise.

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