Description: Delinquency rates are closely related to the economic conditions and can be analyzed using measures of economic growth and stability. In an attempt to predict the delinquency rate for the health care equipment financial industry, we investigated the relationship between delinquency rate and key macroeconomic variables for the period from 1998 to 2008. The study reveals that the tightening credit standards and unemployment rate are the key macroeconomic indicators influencing the delinquency rate. The analysis further helps in arriving at a trigger to monitor the delinquency rate based on the macroeconomic indicators, thus enabling proactive portfolio management. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: Simultaneous modelling of operational risks occurring in different event type/business line cells poses the challenge for operational risk quantification. Invoking the new concept of Levy copulas for dependence modelling yields simple approximations of high quality for multivariate operational VAR. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: Given the lower incidence rate, use of decision tree techniques like Classification and Regression Tree CART in understanding credit or operational risk becomes quite challenging. A commonly adopted solution is biased sampling approach, where more weights are attached to bad customers to artificially hike the incidence or bad rate. While adopting this type of biased sampling approach, question of the best weight arises. This paper adopts an iterative approach in identifying the best weight. The best weight for bankruptcy BKO profiling problem in hand occurred when the incidence rate was around 50 percent where entropy reaches its maximum.

Description: The paper focuses on value creation for European health insurance companies through the practical application of integrated ERM frameworks.

Description: There have been continual advances in the modeling of financial series but most are aimed at the pricing of derivatives. Different criteria are needed for development of scenarios for risk management. Some recent methods will be reviewed with an eye on risk-management applications, including using the simulated method of moments to parameterize multifactor models, fractional differencing and other methods to model series with persistent autocorrelation, and models to flatten out the volatility smile, such as jump-diffusion models. These methods will be illustrated with applications to inflation, interest rates, equity prices and exchange rates.

Description: This paper recommends the practical application of new portfolio risk/return measurements to achieved and back tested stock portfolio performance. This new risk measurement process addresses the issue of infinite variances empirically observed in most stock return distributions. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: In response to the risks of embezzlement and branch mis-behavior, this paper describes an operational risk management framework for local Chinese securities companies and a set of tools to manage their branches. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: In this paper, we formulate the Capital Allocation problem as an optimization problem in which we seek the mix of business that maximizes an insurance company’s Expected Net After Tax Income subject to a constraint on the Tail Value at Risk TVAR. Using the method of Lagrange multipliers, we demonstrate that the returns on the respective TVAR contributions, so-called RORAC, are equal across all lines of business when the mix of business is optimal. Although the discussions in this paper center on the TVAR, the conclusions hold true for any conditional expected value measure. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: This paper investigates the interaction between a credit portfolio and another risk type, which can be thought of as market risk. We analytically calculate their inter-risk correlation and show how inter-risk correlation bounds can be derived.

Description: Scenario analysis and stress tests based on consideration of shock events and their possible repercussions can provide useful information to management and regulators on a company’s resiliency through a chain of events, as well as support the consideration of a firm’s operations as an integral part of a wider financial system. We discuss how scenario analysis and stress testing can be used to define a company’s risk appetite, which is at the core of a well-embedded ERM framework. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.