SSRN Home Search and Download Papers Browse Abstract and Paper Submission Subscribe to Networks View Briefcase Top Papers Top Authors Top Institutions

 

Abstract

 
 

References (59)

Beta

 


 


Download | Share | Email | Add to Briefcase | Buy Hard Copy

A Benchmarking Approach to Optimal Asset Allocation for Insurers and Pension Funds

Bernard Wong
University of New South Wales - School of Actuarial Studies

Andrew Lim
University of California, Berkeley


November 3, 2009

Australian School of Business Research Paper No. 2009ACTL07

Abstract:     
We solve the optimal asset allocation problem for an insurer or pension fund by using a benchmarking approach. Under this approach the objective is an increasing function of the relative performance of the asset portfolio compared to a benchmark. The benchmark can be, for example, a function of an insurer's liability payments, or the (either contractual or target) payments of a pension fund. The benchmarking approach tolerates but progressively penalizes shortfalls, while at the same time progressively rewarding out-performance. Working in a general, possibly non-Markovian setting, a solution to the optimization problem is presented, providing insights as to the impact of benchmarking on the resulting optimal portfolio.

Keywords: Asset-Liability Management, Portfolio Optimization, Benchmarking

JEL Classifications: C61, G11

Working Paper Series

Date posted: August 14, 2009 ; Last revised: November 06, 2009

Suggested Citation

Wong, Bernard and Lim, Andrew E. B., A Benchmarking Approach to Optimal Asset Allocation for Insurers and Pension Funds (November 3, 2009). Australian School of Business Research Paper No. 2009ACTL07. Available at SSRN: http://ssrn.com/abstract=1448376


Export to: Export Citation What's this?

Contact Information

Bernard Wong (Contact Author)
University of New South Wales - School of Actuarial Studies ( email )
Sydney NSW 2052 Australia
Andrew E. B. Lim
University of California, Berkeley ( email )
IEOR Department
4135 Etcheverry Hall
Berkeley, CA 94720-1777
United States
HOME PAGE: http://www.ieor.berkeley.edu/~lim
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 168
Downloads: 64
Download Rank: 105,095
References: 59

© 2009 Social Science Electronic Publishing, Inc. All Rights Reserved. Terms of Use  Privacy Policy
This page was served by apollo 2 in 0.125 seconds.