Fast Sensitivity Computations for Monte Carlo Valuation of Pension Funds

11 Pages Posted: 11 Dec 2009 Last revised: 28 Mar 2010

See all articles by Mark S. Joshi

Mark S. Joshi

University of Melbourne - Centre for Actuarial Studies (deceased)

David Pitt

University of Melbourne - Department of Economics

Date Written: March 26, 2010

Abstract

Sensitivity analysis, or so-called 'stress-testing', has long been part of the actuarial contribution to pricing, reserving and management of capital levels in both life and non-life assurance. Recent developments in the area of derivatives pricing have seen the application of adjoint methods to the calculation of option price sensitivities including the well-known 'Greeks' or partial derivatives of option prices with respect to model parameters. These methods have been the foundation for efficient and simple calculations of a vast number of sensitivities to model parameters in financial mathematics. This methodology has yet to be applied to actuarial problems in insurance or in pensions. In this paper we consider a model for a defined benefit pension scheme and use adjoint methods to illustrate the sensitivity of fund valuation results to key inputs such as mortality rates, interest rates and levels of salary rate inflation. The method of adjoints is illustrated in the paper and numerical results are presented. Efficient calculation of the sensitivity of key valuation results to model inputs is useful information for practising actuaries as it provides guidance as to the relative ultimate importance of various judgments made in the formation of a liability valuation basis.

Keywords: actuarial valuation, pensions, adjoints, delta, pathwise method, Monte Carlo

Suggested Citation

Joshi, Mark and Pitt, David, Fast Sensitivity Computations for Monte Carlo Valuation of Pension Funds (March 26, 2010). Available at SSRN: https://ssrn.com/abstract=1520770 or http://dx.doi.org/10.2139/ssrn.1520770

Mark Joshi (Contact Author)

University of Melbourne - Centre for Actuarial Studies (deceased) ( email )

Melbourne, 3010
Australia

David Pitt

University of Melbourne - Department of Economics ( email )

Melbourne, 3010
Australia

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