Stochastic modeling in economics and finance
By: Jitka Dupac ova , Jan Hurt, and Josef S te pa n.
Contributors: Hurt, Jan; S te pa n, Josef
Series: Applied optimization -- v. 75; Applied optimization -- v. 75.
Publisher: Kluwer Academic Publishers
Published: 2002
Place of publication: Dordrecht; Boston
Language: eng
Format: [electronic resource] /
Number of pages: 386
ISBN-13: 9780306481673
Subjects: Finance; Electronic books; Mathematical models; Economics; Stochastic analysis; BUSINESS & ECONOMICS; Theory
Description: 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.
Notes: Includes bibliographical references (p. 369-375) and index.

Description based on print version record.