Computational Methods in Decision-Making, Economics and Finance

ISBN-13: 9781402008399 / Angielski / Twarda / 2002 / 626 str.

Dechang John Chen; Erricos John Kontoghiorghes; Berc Rustem

Opis

Computing has become essential for the modeling, analysis, and optimization of systems. This book is devoted to algorithms, computational analysis, and decision models. The chapters are organized in two parts: optimization models of decisions and models of pricing and equilibria.
Optimization is at the core of rational decision making. Even when the decision maker has more than one goal or there is significant uncertainty in the system, optimization provides a rational framework for efficient decisions. The Markowitz mean-variance formulation is a classical example. The first part of the book is on recent developments in optimization decision models for finance and economics. The first four chapters of this part focus directly on multi-stage problems in finance. Chapters 5-8 involve the use of worst-case robust analysis. Chapters 9-11 are devoted to portfolio optimization. The final four chapters are on transportation-inventory with stochastic demand; optimal investment with CRRA utility; hedging financial contracts; and, automatic differentiation for computational finance.
The uncertainty associated with prediction and modeling constantly requires the development of improved methods and models. Similarly, as systems strive towards equilibria, the characterization and computation of equilibria assists analysis and prediction. The second part of the book is devoted to recent research in computational tools and models of equilibria, prediction, and pricing. The first three chapters of this part consider hedging issues in finance. Chapters 19-22 consider prediction and modeling methodologies. Chapters 23-26 focus on auctions and equilibria. Volatility models are investigated in chapters 27-28. The final two chapters investigate risk assessment and product pricing.
Audience: Researchers working in computational issues related to economics, finance, and management science.

Spis treści

Preface. Contributing Authors. Part I: Optimization Models. 1. Multi-period optimal asset allocation for a multi-currency hedged portfolio; D. Mignacca, A. Meucci. 2. Rebalancing Strategies for Long-term Investors; J.M. Mulvey, K.D. Simsek. 3. Multistage stochastic programming in computational finance; N. Gulpinar, et al. 4. Multistage stochastic optimization model for the cash management problem; O. Schmid. 5. Robust portfolio analysis; B. Rustem, R. Settergren. 6. Robust mean-semivariance portfolio optimization; O.L.V. Costa, et al. 7. Perturbative approaches for robust optimal portfolio problems; F. Trojani, P. Vanini. 8. Maxmin Portfolios in Models where Immunization is not Feasible; A. Balbás, A. Ibáñez. 9. Portfolio Optimization with VaR and Expected Shortfall; M. Gilli, E. Këllezi. 10. Borrowing Constraints, Portfolio Choice, and Precautionary Motives; M. Haliassos, C. Hassapis. 11. The risk profile problem for stock portfolio optimization; M.-Y. Kao, et al. 12. A capacitated transportation-inventory problem with stochastic demands; P. Chaovalitwongse, et al. 13. Utility maximisation with a time lag in trading; L.C.G. Rogers, E.J. Stapleton. 14. Simulations for hedging financial contracts with optimal decisions; H. Windcliff, et al. 15. Automatic differentiation for computational finance; C.H. Bischof, et al. Part II: Equilibria, Modelling and Pricing. 16. Interest rate barrier options; G. Barone-Adesi, G. Sorwar. 17. Pricing American optionsby fast solutions of LCPs; A. Borici, H.-J. Lüthi. 18. Hedging with Monte Carlo simulation; J. Cvitanić, et al. 19. In Search of Deterministic Complex Patterns in Commodity Prices; A. Chatrath, et al. 20. A review of stock market prediction using computational methods; I.E. Diakoulakis, et al. 21. Numerical strategies for solving SUR models; P. Foschi, et al. 22. Time-Frequency Representation in the Analysis of Stock Market Data; G. Turhan-Sayan, S. Sayan. 23. Opportunity cost algorithms for combinatorial auctions; K. Akcoglu, et al. 24. A finite states contraction algorithm for dynamic models; J.X. Li. 25. Traffic network equilibrium and the environment; A. Nagurney, et al. 26. Mathematical model of technology diffusion in developing countries; Ding Zhang, et al. 27. Estimation of Stochastic Volatility Models; F. Bartolucci, G. De Luca. 28. Genetic programming with syntactic restrictions applied to financial volatility forecasting; G. Zumbach, et al. 29. Simulation-based tests of PTM; L. Khalaf, M. Kichian. 30. Credit risk assessment using a multicriteria hierarchical discrimination approach; K. Kosmidou, et al.