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State of the art tutorial I: simulation modeling for finance and insurance: applications of simulation models in finance and insurance
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Source Winter Simulation Conference archive
Proceedings of the 35th conference on Winter simulation: driving innovation table of contents
New Orleans, Louisiana
SESSION: Risk analysis table of contents
Pages: 249 - 257  
Year of Publication: 2003
ISBN:0-7803-8132-7
Authors
Thomas N. Herzog  Office of Evaluation, Washington, D.C.
Graham Lord  Princeton University, Princeton, NJ
Sponsors
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
NIST : National Institute of Standards and Technology
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
ACM: Association for Computing Machinery
(SCS) : The Society for Modeling and Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
Publisher
Winter Simulation Conference 
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ABSTRACT

We describe a number of applications of simulation methods to practical problems in finance and insurance. The first entails the simulation of a two-stage model of a property-casualty insurance operation. The second application simulates the operation of an insurance regime for home equity conversion mortgages (also known as reverse mortgages). The third is an application of simulation in the context of <i>Value at Risk</i>, a widely-used measure for assessing the performance of portfolios of assets and/or liabilities. We conclude with an application of simulation in the testing of the <i>efficient market hypothesis</i> of the U.S. stock market.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Blanchard, O. S. and M. Watson. 1982., "Bubbles, Rational Expectations, and Financial Markets," in P. Wachtel (editor), Crisesin the Economic and Social Structure. Lexington: Lexington Books.
 
2
DeVinti, T. R. and T. N. Herzog. 1991. Modeling Home Equity Conversion Mortgages. Transactions of the Society of Actuaries 43:261--275.
 
3
Downs, A. 1989. High Housing Prices---First Quarter of 1989. Brookings Institute, Washington, D.C.
 
4
Foster, C. and R. van Order. 1984. An Option-Based Model of Mortgage Default. Housing Finance Review 3 (4):351--372.
 
5
Herzog, T. N. 1999. Introduction to Credibility Theory, 3rd ed. ACTEX Publications, Winsted, CT.
 
6
Herzog, T. N. and G. Lord. 2002 Applications of Monte Carlo Methods to Finance and Insurance. ACTEX Publications, Winsted, CT.
 
7
Herzog, T. N. and D. B. Rubin. 1983. Using Multiple Imputations to Handle Non-response in Sample Surveys. In Incomplete Data in Sample Surveys, Vol. 2, ed. W. G. Madow, I. Olkin, and D. B. Rubin, 209--245. New York, NY: Academic Press.
 
8
Jorian, P., Value at Risk: The New Benchmark for Managing Financial Risk (Second Edition). 2000. New York: McGraw-Hill.
 
9
May, J. and E. Szymanoski. 1989. Reverse Mortgages: Risk Reduction Strategies. Secondary Mortgage Markets. 6(1):16--21.
 
10
McQueen, G. and S. Thorley. 1982. "Are Stock Market Returns Predictable? A Test Using Markov Chains," The Journal of Finance, Vol. 46, Issue 1, 239--263.
 
11
National Association of Realtors. January, 1989. Existing and New Home Median Sales Price of Single-Family Homes. Home Sales. Washington, D.C.
 
12
Wade, A. 1989. Unpublished tables of mortality rates for female lives, supplementary material to the 1989 Trustees' Report of the Social Security Administration. U.S. Department of Health and Human Services.
 
13
Waldman, M. and M. Gordon. 1988. Determining the Yield of Mortgage Securities. In The Handbook of Mortgage-Backed Securities, ed. F. Fabozzi, 257--277. Chicago, Illinois: Probus Publishing.
Collaborative Colleagues:
Thomas N. Herzog: colleagues
Graham Lord: colleagues