Description: The paper o ers a simple framework for ranking the common reinsurance struc- tures in practice with the theory of stochastic orders. The basic idea is to slice the space of reinsurance structures into groups by expected loss cost to facilitate the comparisons within the group and between groups. Given the standard risk aversion assumption in economics, a spectrum of reinsurance structures with the same expected loss cost can be compared analytically with one another and sequenced based on their risk coverages under the convex order. The paper then expands the dimension of the comparison to groups of reinsurance structures with di erent expected loss costs, which can be ranked under the increasing convex order and the usual stochastic order. As such, the paper maps out the ordering for the entire space of reinsurance structures and presents it in a ma- trix format for quick reference. The implication

Description: This is the abstract of the paper A Space Marching Finite Difference Algorithm for Valuing American. In this paper, the author considers the problem of valuating American options written on assets that pay continuous dividends with unknown optimal exercise boundary. The numerical solution of the associated free boundary value problem is investigated. This research has been partialy supported by the actuarial faculty fund at the Ohio State University.

Description: Actuaries and rating agencies increasingly believe that the NAIC's formulaic required capital standard does not adequately address a company's insurance, economic market and credit, reporting and pricing risk structure. Economic capital, based upon a stochastic evaluation of a company's total risk exposures, presents a new approach for accurately gauging a company's exposure to risk. Attendees learn what economic capital is, how it is calculated, what it tells company management about risk exposures and how it can serve as a valuable risk-adjusted measurement tool. From the Record of the Society of Actuaries, Volume 29, No. 1: Washington D.C. Spring Meeting, May 29–30, 2003, Session 24OF.

Description: The paper o ers a simple framework for ranking the common reinsurance struc- tures in practice with the theory of stochastic orders. The basic idea is to slice the space of reinsurance structures into groups by expected loss cost to facilitate the comparisons within the group and between groups. Given the standard risk aversion assumption in economics, a spectrum of reinsurance structures with the same expected loss cost can be compared analytically with one another and sequenced based on their risk coverages under the convex order. The paper then expands the dimension of the comparison to groups of reinsurance structures with di erent expected loss costs, which can be ranked under the increasing convex order and the usual stochastic order. As such, the paper maps out the ordering for the entire space of reinsurance structures and presents it in a ma- trix format for quick reference. The implication of this stochastic ordering to reinsurance pricing is also investigated.