AuthorDupaฤovรก, Jitka. author
TitleStochastic Modeling in Economics and Finance [electronic resource] / by Jitka Dupaฤovรก, Jan Hurt, Josef ล tฤpรกn
ImprintBoston, MA : Springer US, 2002
Connect tohttp://dx.doi.org/10.1007/b101992
Descript XIV, 386 p. online resource

SUMMARY

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


CONTENT

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


SUBJECT

  1. Mathematics
  2. Accounting
  3. Bookkeeping
  4. Operations research
  5. Decision making
  6. Finance
  7. Mathematical optimization
  8. Probabilities
  9. Mathematics
  10. Optimization
  11. Probability Theory and Stochastic Processes
  12. Finance
  13. general
  14. Operation Research/Decision Theory
  15. Accounting/Auditing