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Stochastic Modeling in Economics and Finance

Stochastic Modeling in Economics and Finance - Applied Optimization

Softcover reprint of the original 1st ed. 2002

Paperback (07 Dec 2010)

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Publisher's Synopsis

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.

Book information

ISBN: 9781441952318
Publisher: Springer US
Imprint: Springer
Pub date:
Edition: Softcover reprint of the original 1st ed. 2002
DEWEY: 330.015118
DEWEY edition: 23
Language: English
Number of pages: 386
Weight: 617g
Height: 234mm
Width: 156mm
Spine width: 20mm