Grant: Discovery Grants Program - Individual
University of Western Ontario
$14,000.00
Advanced ruin theory models and applications
FY 2014-15
Summary
This proposal considers extensions of the so-called ""dual risk model."" In contrast to the usual insurance ruin models, the dual model assumes that a company has a steady stream of expenses and random amounts of income arriving at random times. The extensions that we explore involve generalizing the Laplace transform of the time to ruin that is standardly studied under this model. More precisely, we construct an analogue to the widely studied expected discounted penalty function that was introduced to incorporate more quantities of interest apart from the time to ruin. Since the nature of the dual model significantly differs from the insurance ruin models in that ruin results from the lack of income rather than as a consequence of a claim, the quantities of interest to the management of such companies differ from those that are included in the now classical expected discounted penalty function. Consequently, we need to be more creative in identifying the objects that should be studied. Another extension of the dual model that we intend to explore is related to generalizations of the stochastic process that models the evolution of the surplus of businesses that fall in this framework. Another line of research that I intend to pursue is related to various dependence structures that are implemented into the surplus process of insurance companies. Such dependences allow the insurer to incorporate into the model specific features of certain types of policies. For instance, it is well known that the extent of damages to property in earthquake zones is highly correlated to the amount of time that elapses between consecutive earthquakes. Another example of dependence in the surplus process is when insureds are divided into groups depending on their level of some risk factor. More precisely, it is noted that insureds from one group tend to make claims for lower amounts than insureds from another group. Yet another line of research explores the possibility to generalize the claim-number process by considering counting distributions that are modified at zero. This type of modifications allows for studying in advance the possibility of introducing a deductible or increasing the deductible of already existing insurance policies. The comparison between the profitability and riskiness of the current policy contracts and the revised contracts relies on the accumulated data by the pool of former contracts. The last line of research that is described in this proposal considers more elaborate changes of premium rates. A more realistic way of implementing changes to the premium rate is by incorporating into the surplus process of an insurance company a random variable that triggers the decision of premium changing. The major part of the current literature on this topic assumes that the change in premium is made deterministically by fixing some thresholds that the company's surplus should meet.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2014-04174
Name nom
Sendova, Kristina
Department département
Statistical and Actuarial Sciences
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
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
900
Area of application group en
Commercial services
Area of application group fr
Services commerciaux
Area of application en
Commercial services
Area of application fr
Services commerciaux
Research subject code
3007
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Stochastic processes
Research subject fr
Processus stochastiques
Partie
1
Nb partie
5
Application title
Advanced ruin theory models and applications
Keyword
NSERC
Application summary
This proposal considers extensions of the so-called ""dual risk model."" In contrast to the usual insurance ruin models, the dual model assumes that a company has a steady stream of expenses and random amounts of income arriving at random times. The extensions that we explore involve generalizing the Laplace transform of the time to ruin that is standardly studied under this model. More precisely, we construct an analogue to the widely studied expected discounted penalty function that was introduced to incorporate more quantities of interest apart from the time to ruin. Since the nature of the dual model significantly differs from the insurance ruin models in that ruin results from the lack of income rather than as a consequence of a claim, the quantities of interest to the management of such companies differ from those that are included in the now classical expected discounted penalty function. Consequently, we need to be more creative in identifying the objects that should be studied. Another extension of the dual model that we intend to explore is related to generalizations of the stochastic process that models the evolution of the surplus of businesses that fall in this framework. Another line of research that I intend to pursue is related to various dependence structures that are implemented into the surplus process of insurance companies. Such dependences allow the insurer to incorporate into the model specific features of certain types of policies. For instance, it is well known that the extent of damages to property in earthquake zones is highly correlated to the amount of time that elapses between consecutive earthquakes. Another example of dependence in the surplus process is when insureds are divided into groups depending on their level of some risk factor. More precisely, it is noted that insureds from one group tend to make claims for lower amounts than insureds from another group. Yet another line of research explores the possibility to generalize the claim-number process by considering counting distributions that are modified at zero. This type of modifications allows for studying in advance the possibility of introducing a deductible or increasing the deductible of already existing insurance policies. The comparison between the profitability and riskiness of the current policy contracts and the revised contracts relies on the accumulated data by the pool of former contracts. The last line of research that is described in this proposal considers more elaborate changes of premium rates. A more realistic way of implementing changes to the premium rate is by incorporating into the surplus process of an insurance company a random variable that triggers the decision of premium changing. The major part of the current literature on this topic assumes that the change in premium is made deterministically by fixing some thresholds that the company's surplus should meet.