Stochastic Modeling in Economics and Finance

Stochastic Modeling in Economics and Finance

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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 a 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.Steele, J.M., Stochastic Calculus and Financial Applications, Springer Verlag, New York, 2001. J., Probability Theory.Mathematical Foundations, Academia, Prague, 1987. (Czech) , J. and ... Wolfram, S., The MathematicaAr Book, 4th ed., Wolfram Media/Cambridge University Press, Champaign/Cambridge, 1999. Yor, M .

Title:Stochastic Modeling in Economics and Finance
Author:Jitka Dupacova, J. Hurt, J. Stepan
Publisher:Springer Science & Business Media - 2006-04-18


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