Abstract

 


 



Lifetime Dependence Modelling Using a Truncated Multivariate Gamma Distribution


Daniel H. Alai


Australian School of Business at UNSW

Zinoviy Landsman


University of Haifa, Department of Statistics

Michael Sherris


University of New South Wales - ARC Centre of Excellence in Population Ageing Research and School of Risk and Actuarial Studies

April 2, 2012

UNSW Australian School of Business Research Paper No. AIPAR 2012/3

Abstract:     
Systematic improvements in mortality dependence in the survival distributions of insured lives, which is not accounted for in standard life tables and actuarial models used for annuity pricing and reserving. Systematic longevity risk also undermines the law of large numbers; a law that is relied on in the risk management of life insurance and annuity portfolios. This paper applies a multivariate gamma distribution to incorporate dependence. Lifetimes are modelled using a truncated multivariate gamma distribution that induces dependence through a shared gamma distributed component. Model parameter estimation is developed based on the method of moments and generalized to allow for truncated observations. The impact of dependence within a portfolio, or cohort, of lives with similar risk characteristics is demonstrated by applying the model to annuity valuation. Dependence is shown to have a significant impact on the risk of the annuity portfolio as compared with traditional actuarial methods that implicitly assume independent lifetimes.

Number of Pages in PDF File: 24

Keywords: Systematic Longevity Risk, Dependence, Multivariate Gamma, Lifetime Distribution, Annuity Valuation

JEL Classification: G22, G32, C13, C02

working papers series


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Date posted: April 2, 2012 ; Last revised: March 26, 2013

Suggested Citation

Alai, Daniel H., Landsman, Zinoviy and Sherris, Michael, Lifetime Dependence Modelling Using a Truncated Multivariate Gamma Distribution (April 2, 2012). UNSW Australian School of Business Research Paper No. AIPAR 2012/3. Available at SSRN: http://ssrn.com/abstract=2033454 or http://dx.doi.org/10.2139/ssrn.2033454

Contact Information

Daniel H. Alai (Contact Author)
Australian School of Business at UNSW ( email )
Sydney, NSW 2052
Australia
Zinoviy Landsman
University of Haifa, Department of Statistics ( email )
Haifa, 31905
Israel
+972-4-8249003 (Phone)
HOME PAGE: http://stat.haifa.ac.il/~landsman
Michael Sherris
University of New South Wales - ARC Centre of Excellence in Population Ageing Research and School of Risk and Actuarial Studies ( email )
Australian School of Business
Quadrangle Building
Sydney, NSW 2052
Australia
+61 2 9385 2333 (Phone)
+61 2 9385 1883 (Fax)
HOME PAGE: http://www.asb.unsw.edu.au/schools/Pages/MichaelSherris.aspx

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