Description: The goal of this paper is to study how a full-range tail dependence copula would be useful in assessing tail risks in a regression setting.

Description: In summary, the goal of this report is to foster better industry-wide education, training and practice that decreases the future range and scope of what leading risk management professionals will henceforth label as being unpredictable as events now commonly thought to be so.

Description: This dissertation by Tia Sawhney will help you understand this issue and start measuring it, or start promoting equitable public policy.

Description: Statistics show that the risk of fatality associated with motorcycle crashes far exceeds that of automobiles hereby Connecticut introduced mandatory motorcycle safety training. This paper develops a unifying framework to quantify the effectiveness of such mandatory programs and to translate this in terms of a possible insurance rate reduction.

Description: This paper develops a new technique, which allows the analyst to maximally use all thte historical interest rate information available in forecasting interest rates. Interest rates' daily change do not follow a stationary random process over long time periods. Instead, the process is comprised of stationary periods, each a few years long, with relatively short transitional periods between different stationary periods.

Description: This paper cautions against using expected utility theory for measuring insurance risk, because of the numerous inherent difficulties associated with it. Instead, an approach for loading gross premiums that is based on risk-measure functions is explored. Discussions of this paper are included.