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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. .

operationeel onderzoek --- speltheorie --- management --- Operational research. Game theory --- kansrekening --- Business management --- Planning (firm) --- handelswetenschappen --- mathematische modellen --- bedrijfskunde --- financiën --- Finance --- stochastische analyse --- Markov processes --- Finances --- Markov, Processus de --- Mathematical models --- Modèles mathématiques --- EPUB-LIV-FT LIVECONO LIVGESTI SPRINGER-B --- Operations research. --- Finance. --- Distribution (Probability theory. --- Business. --- Operations Research/Decision Theory. --- Finance, general. --- Mathematical Modeling and Industrial Mathematics. --- Probability Theory and Stochastic Processes. --- Business and Management, general. --- Operations Research, Management Science. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Funding --- Funds --- Economics --- Currency question --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Trade --- Management --- Commerce --- Industrial management --- 305.91 --- AA / International- internationaal --- Analysis, Markov --- Chains, Markov --- Markoff processes --- Markov analysis --- Markov chains --- Markov models --- Models, Markov --- Processes, Markov --- Stochastic processes --- Econometrie van de financiële activa. Portfolio allocation en management. CAPM. Bubbles --- Decision making. --- Mathematical models. --- Probabilities. --- Management science. --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Models, Mathematical --- Simulation methods --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making --- Markov processes.

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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.

Economics --- Methodology of economics --- Finance --- Financial law --- Operational research. Game theory --- Mathematical statistics --- Probability theory --- Business economics --- Planning (firm) --- Investment management --- Business management --- financieel management --- waarschijnlijkheidstheorie --- bedrijfseconomie --- stochastische analyse --- economie --- mathematische modellen --- investeringen --- financiën --- bankwezen --- econometrie --- operationeel onderzoek --- financieel recht --- kansrekening --- Markov processes. --- Finances --- Markov, Processus de --- Mathematical models. --- Modèles mathématiques --- EPUB-LIV-FT LIVECONO LIVGESTI SPRINGER-B