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Grant: Discovery Grants Program - Individual

York University

$14,000.00

Quantitative methods for modelling and pricing dependenent insurance risks

EF 2015-16

Résumé
Imagine a pool of 20-year term annually-paid joint life level annuities-due issued to married couples. The future lifetimes of the annuitants are per Complete Life Tables Canada 2000 - 2002, 2a and 2b, and the real interest rate is an average of .7%, as per World Bank's 2008 - 2012 Canadian data. Simple calculations show that under the standard assumption of independence of lifetimes (as opposed to a more realistic one of strong positive dependence), the contracts are significantly underpriced. The spreads grow with age and are, for instance, 12% for a typical couple of a 65 old man and a woman aged 60. As the random payments due to the annuities in the pool, are themselves (inter)dependent, the impairment becomes rather daunting. More generally, neglecting dependencies within and among portfolios of risks can and often does lead to solvency issues and even bankruptcy of institutions. Notwithstanding, traditional actuarial models rest on the assumption of independence. Unrealistic as it is, the assumption often allows for convenient simplifications and thus guarantees a desirable level of analytic tractability. In the proposed research, I will depart from this assumption. I will formulate meaningful ways to describe dependencies amongst insurance risks and study the implications of such dependencies. I will argue that the rules assigning prices to insurance risks must take into consideration their dependencies on companion risks, as well as on other exogenous factors. I will demonstrate that the just-mentioned pricing rules do not necessarily lead to unbearable intractabilities and are worthy a try, in particular given the utterly adverse consequences of their less sophisticated alternatives.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2014-05272
Name nom
Furman, Edward
Department département
Mathematics and Statistics
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2014
Award amount
14000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
3001
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Statistical theory
Research subject fr
Théorie de statistique
Partie
2
Nb partie
5
Application title
Quantitative methods for modelling and pricing dependenent insurance risks
Keyword
NSERC
Application summary
Imagine a pool of 20-year term annually-paid joint life level annuities-due issued to married couples. The future lifetimes of the annuitants are per Complete Life Tables Canada 2000 - 2002, 2a and 2b, and the real interest rate is an average of .7%, as per World Bank's 2008 - 2012 Canadian data. Simple calculations show that under the standard assumption of independence of lifetimes (as opposed to a more realistic one of strong positive dependence), the contracts are significantly underpriced. The spreads grow with age and are, for instance, 12% for a typical couple of a 65 old man and a woman aged 60. As the random payments due to the annuities in the pool, are themselves (inter)dependent, the impairment becomes rather daunting. More generally, neglecting dependencies within and among portfolios of risks can and often does lead to solvency issues and even bankruptcy of institutions. Notwithstanding, traditional actuarial models rest on the assumption of independence. Unrealistic as it is, the assumption often allows for convenient simplifications and thus guarantees a desirable level of analytic tractability. In the proposed research, I will depart from this assumption. I will formulate meaningful ways to describe dependencies amongst insurance risks and study the implications of such dependencies. I will argue that the rules assigning prices to insurance risks must take into consideration their dependencies on companion risks, as well as on other exogenous factors. I will demonstrate that the just-mentioned pricing rules do not necessarily lead to unbearable intractabilities and are worthy a try, in particular given the utterly adverse consequences of their less sophisticated alternatives.