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AuthorDupaฤ{141}ovรก, Jitka. author
TitleStochastic Modeling in Economics and Finance [electronic resource] / by Jitka Dupaฤ{141}ovรก, Jan Hurt, Josef ล tฤ{155}pรกn
ImprintBoston, MA : Springer US, 2002
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Descript XIV, 386 p. online resource


In Part I, the fundamentals of financial thinking and elementary mathematical methods of finance are presented. The method of presentation is simple enough to bridge the elements of financial arithmetic and complex models of financial math developed in the later parts. It covers characteristics of cash flows, yield curves, and valuation of securities. Part II is devoted to the allocation of funds and risk management: classics (Markowitz theory of portfolio), capital asset pricing model, arbitrage pricing theory, asset & liability management, value at risk. The method explanation takes into account the computational aspects. Part III explains modeling aspects of multistage stochastic programming on a relatively accessible level. It includes a survey of existing software, links to parametric, multiobjective and dynamic programming, and to probability and statistics. It focuses on scenario-based problems with the problems of scenario generation and output analysis discussed in detail and illustrated within a case study


Fundamentals -- Discrete Time Stochastic Decision Models -- Stochastic Analysis and Diffusion Finance

Mathematics Accounting Bookkeeping Operations research Decision making Finance Mathematical optimization Probabilities Mathematics Optimization Probability Theory and Stochastic Processes Finance general Operation Research/Decision Theory Accounting/Auditing


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