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Risk analysis software tutorial II: OptFolio - a simulation optimization system for project portfolio planning

Published: 07 December 2003 Publication History

Abstract

OptFolio is a new portfolio optimization software system that simultaneously addresses financial return goals, catastrophic loss avoidance, and performance probability. The innovations embedded in the system enable users to confidently design effective plans for achieving financial goals, employing accurate analysis based on real data. Traditional analysis and prediction methods are based on mean variance analysis -- an approach known to be faulty. The new software system takes a much more sophisticated and strategic direction. State-of-the-art technology integrates simulation and metaheuristic optimization techniques and a new surface methodology based on linear programming into a global system that guides a series of evaluations to reveal truly optimal investment scenarios. In this paper we will present new techniques that increase the flexibility of optimization tools and deepen the types of portfolio analysis that can be carried out. We include examples applied to energy, pharmaceutical, and information technology portfolios.

References

[1]
Glover, F., J. Kelly, and M. Laguna. 1999. "New Advances Wedding Simulation and Optimization," in the Proceedings of WSC'99, David Kelton, Ed.
[2]
Glover, F. and M. Laguna. 1997. Tabu Search, Kluwer Academic Publishers.
[3]
Glover, F., M. Laguna, and R. Marti. 2000. "Fundamentals of scatter search and path relinking," Control and Cybernetics, Vol. 29, No. 3, 653--684.
[4]
Markowitz, H. 1952. "Portfolio Selection," The Journal of Finance, vol. VII, no. 1, pp. 77--91.

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  1. Risk analysis software tutorial II: OptFolio - a simulation optimization system for project portfolio planning

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      Published In

      cover image ACM Conferences
      WSC '03: Proceedings of the 35th conference on Winter simulation: driving innovation
      December 2003
      2094 pages
      ISBN:0780381327

      Sponsors

      • IIE: Institute of Industrial Engineers
      • INFORMS/CS: Institute for Operations Research and the Management Sciences/College on Simulation
      • ASA: American Statistical Association
      • ACM: Association for Computing Machinery
      • SIGSIM: ACM Special Interest Group on Simulation and Modeling
      • IEEE/CS: Institute of Electrical and Electronics Engineers/Computer Society
      • NIST: National Institute of Standards and Technology
      • (SCS): The Society for Modeling and Simulation International
      • IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society

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      Winter Simulation Conference

      Publication History

      Published: 07 December 2003

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      WSC03
      Sponsor:
      • IIE
      • INFORMS/CS
      • ASA
      • ACM
      • SIGSIM
      • IEEE/CS
      • NIST
      • (SCS)
      • IEEE/SMCS
      WSC03: Winter Simulation Conference 2003
      December 7 - 10, 2003
      Louisiana, New Orleans

      Acceptance Rates

      WSC '03 Paper Acceptance Rate 128 of 189 submissions, 68%;
      Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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      • (2016)Scenario and Robust Optimization in Risk ManagementInternational Journal of Risk and Contingency Management10.4018/IJRCM.20161001035:4(27-41)Online publication date: 1-Oct-2016
      • (2013)Selection of efficient portfolios-probabilistic and fuzzy approach, comparative studyComputers and Industrial Engineering10.1016/j.cie.2013.01.01164:4(1019-1032)Online publication date: 1-Apr-2013
      • (2007)Advances in analyticsIBM Journal of Research and Development10.1147/rd.513.047751:3(477-487)Online publication date: 1-May-2007
      • (2004)New advances and applications for marrying simulation and optimizationProceedings of the 36th conference on Winter simulation10.5555/1161734.1161756(80-86)Online publication date: 5-Dec-2004

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