DocumentCode
1730085
Title
Solving robust optimization models in finance
Author
Mulvey, John M.
Author_Institution
Princeton Univ., NJ, USA
fYear
1996
Firstpage
1
Lastpage
13
Abstract
Leading international financial firms are applying multi-stage stochastic programs for managing asset-liability risk over extended time periods. Prominent examples include: Towers Perrin, State Farm Insurance, Falcon Asset Management, Frank Russell and Unilever. The asset-liability management systems assist pension plan investors, banks, insurance companies and other leveraged institutions. Wealthy individuals can benefit by developing careful risk management strategies. The advantages of integrating assets and liabilities are discussed along with a brief comparison of alternative modeling frameworks. We describe the advantages of high-performance computers for solving these difficult nonlinear robust optimization problems
Keywords
digital simulation; financial data processing; multiprocessing programs; optimisation; risk management; stochastic processes; asset-liability risk management strategies; banks; extended time periods; finance; high-performance computers; insurance companies; international financial firms; leveraged institutions; modeling frameworks; multi-stage stochastic programs; nonlinear robust optimization problems; pension plan investors; robust optimization models; wealthy individuals; Asset management; Finance; Financial management; Insurance; Investments; Pensions; Poles and towers; Risk management; Robustness; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Financial Engineering, 1996., Proceedings of the IEEE/IAFE 1996 Conference on
Conference_Location
New York City, NY
Print_ISBN
0-7803-3236-9
Type
conf
DOI
10.1109/CIFER.1996.501816
Filename
501816
Link To Document