Hidden Markov Models in Finance: Further Developments and Applications, Volume II (International Operations Research & Management Science #209)
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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Making Better Decisions: Balancing Conflicting Criteria (International Operations Research & Management Science #294)
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Portfolio Decision Analysis: Improved Methods for Resource Allocation (International Operations Research & Management Science #162)
Handbook on Data Envelopment Analysis (International Operations Research & Management Science #164)
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Decision Making and Performance Evaluation Using Data Envelopment Analysis (International Operations Research & Management Science #269)
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Sensitivity Analysis: An Introduction for the Management Scientist (International Operations Research & Management Science #251)
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Manufacturing and Service Enterprise with Risks II: The Physics and Economics of Management (International Operations Research & Management Science #202)
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Multiple Criteria Decision Making by Multiobjective Optimization: A Toolbox (International Operations Research & Management Science #242)
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Robustness Analysis in Decision Aiding, Optimization, and Analytics (International Operations Research & Management Science #241)
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Causal Analytics for Applied Risk Analysis (International Operations Research & Management Science #270)
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Strategy and Performance of Knowledge Flow: University-Industry Collaborative Innovation in China (International Operations Research & Management Science #271)
Stochastic Benchmarking: Theory and Applications (International Operations Research & Management Science #317)
Amirteimoori, Alireza
Computational Intelligence in Logistics and Supply Chain Management (International Operations Research & Management Science #244)
Hanne, Thomas
Supply Chain Engineering (International Operations Research & Management Science #161)
Goetschalckx, Marc
Computational Probability: Algorithms and Applications in the Mathematical Sciences (International Operations Research & Management Science #246)
Drew, John H.
Nonlinear Optimization: Methods and Applications (International Operations Research & Management Science #282)
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