.
Jitka Dupacova, Jan Hurt et Josef Stepan - Stochastic Modeling in Economics and Finance
Référence B-511-282
ISBN-10 1402008406
ISBN-13 9781402008405
Format Relié
Pages 386

Livre d'occasion

Stochastic Modeling in Economics and Finance

de Jitka Dupacova, Jan Hurt et Josef Stepan

Édition 2002 ed. 2002
Chez Springer-Verlag New York Inc.
B Bon
Ancien livre de bibliothèque. Légères traces d’usure sur la couverture. Tampon ou marque sur la face intérieure de la couverture. Edition 2002.
RÉSUMÉ

Unlike other books that focus only on selected specific subjects this book provides both a broad and rich cross-section of contemporary approaches to stochastic modeling in finance and economics; it is decision making oriented. The material ranges from common tools to solutions of sophisticated system problems and applications. 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. Selected examples of successful applications in finance, production planning and management of technological processes and electricity generation are presented. Throughout, the emphasis is on the appropriate use of the techniques, rather than on the underlying mathematical proofs and theories. In Part IV, the sections devoted to stochastic calculus cover also more advanced topics such as DDS Theorem or extremal martingale measures, which make it possible to treat more delicate models in Mathematical Finance (complete markets, optimal control, etc.) Audience: Students and researchers in probability and statistics, econometrics, operations research and various fields of finance, economics, engineering, and insurance.

88,40 dont 8,84 € reversés au partenaire donateur et 4,42 € reversés à nos partenaires caritatifs.