“The Time of Recovery and the Maximum Severity of Ruin in a Sparre Andersen Model,” Shuanming Li,October 2008

Abstract

In a first-party recovery scheme for automobile property damage, the first-party insurer compensates not-at-fault vehicular damage. In this scheme, adjusters may not have the incentive to assign liability when the driver is, in fact, at fault for the accident. This is due to adjusters not having to coordinate with a third-party adjuster, and, for insureds that carry collision coverage, the assignment of fault does not appreciably affect the compensation paid out. This in turn reduces the effectiveness of the experience-rating component of the insurance premium. Empirical evidence that supports the presence of incorrect fault assignment is provided. A stochastic model of experience rating analyzing the impact of incorrect fault assignment on driving record classes confirms that low-risk insureds pay more for insurance than if fault was correctly assigned.     

A Note on the Joint Distribution of α, β-Percentiles and Its Application to the Option Pricing

In this paper, using Laplace transform, we will calculate the joint density of twopercentiles of stock prices in the Black–Sholes model and make the price of exchange options of such twopercentiles.     

“Bounds for Ruin Probabilities in the Presence of Large Claims and their Comparison”, Vladimir Kalashnikov,April, 1999

Abstract

Performance measurement systems and report cards which attempt to measure and report the quality of care provided by managed health-care organizations, have become mainstream in health insurance markets as managed care penetration continues to increase. However, little is known about the impact formal plan evaluations have on the contracting and enrollment decisions made by health insurance purchasers and consumers. Information regarding the link between performance evaluations and enrollment is crucial for those charged with projecting future enrollments in and risk profiles of managed care organizations. This paper describes the performance measurement systems currently being used to evaluate managed care plans and reviews the empirical literature for evidence regarding the impact of measures on plan enrollments.