Description: This is the abstract on the paper on optimal reinsurance retentions under joint survivorship of both insurer and reinsurer.

Description: This abstract is for a paper that addresses the problem of optimal reinsurance design using the criterion of minimizing the Conditional Tail Expectation (CTE) risk measure of the insurer's total risk.

Description: This is the abstract of a paper that deals with a recent modification of the Monte Carlo method known as quasi random Monte Carlo. Under this approach, one uses specially selected deterministic sequences rather than random sequences as in Monte Carlo. These special sequences are known as low discrepancy sequences and have the property that they tend to be evenly dispersed throughout the unit cube. For many applications in finance, the use of low discrepancy sequences seems to provide more accurate answer than random sequences.

Description: This is an abstract article about equity release mechanisms by Siu Hang Li, Mary Hardy and Ken Seng Tan. ARCH 2008, Issue 1.

Description: This abstract describes a paper that considers the pricing in a non-competitive market and models the pricing process as a bargaining game.

Description: This is the abstract of a paper that complements the existing research on optimal reinsurance by proposing another model for the determination of the optimal reinsurance design.

Description: This is the abstract of the paper Quasi-Monte Carlo Methods in Numerical Finance. This paper introduces and illustrates a new version of the Monte Carl method that has attractive properties for the numerical valuation of derivatives. The traditional Monte Carlo method has proven to be a powerful and flexible tool for many types of derivatives calculations.

Description: This abstract describes a paper that establishes the relationship among dimension reduction methods, the feature of discontinuity and the performance of QMC methods, with special interest in understanding why BB and PCA do not offer a consistent advantage in QMC.

Description: This is the abstract for the presentation on an empirical-based approach to optimal reinsurance.

Description: This abstract describes a study that reviews by simulation the current tools available for testing trends in time series and constructs and compares alternative probability distribution models, using a unique and comprehensive data set that represents the entire crop insurance sector of Canada.