Description: The bank’s customers viz. non-bank company often get into various kinds of derivative transactions with a bank or some other non-bank company in order to cover or hedge against the unwanted exposure to volatility in interest rates, currency rates or some other underlying rate. A non-bank company defaults when the situation goes unfavorable enough for it to have no other alternative this cascades the impact to many other non-bank companies and banks. I take forward the opinion that non-bank company defaults are more likely than those by a bank in a derivative contract. This risk in the risk management approach using derivatives can be reduced through the derivatives framework proposed in this paper. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: Presented at May 2002 Spring Meeting. This session covers the current status of FAS 133 and extensions such as the proposed statement of position on accounting and reporting by insurance enterprises for certain nontraditional, long-duration contracts and for separate accounts.

Description: The Investment Symposium is a day-and-a-half long seminar that will focus on the issues and questions faced by investors and risk managers, especially related to insurance companies and retirement plans. Presenters will discuss the big picture issues and explore practical solutions to today’s challenges. Experts will share new approaches to portfolio management and cutting edge research in asset-liability management. Technology, regulation and the economic environment will

Description: Panelists at this session of the SOA 1998 Maui I Spring Meeting discuss the challenge of how to regulate and account for the growing number of derivative products in the context of their multiple applications.

Description: 1994 SOA Spring Meeting, Orlando. This session is about fixed income derivatives, their uses, and their implications with respect to RBC, IMR, disclosure, and FAS 115 hedge accounting.

Description: Introduction to option pricing using Black-Scholes. Discussion on the limitations of Black-Scholes and of its alternatives such as Heston. Clear, accessible explanation of key results of mathematical finance including risk-neutral valuation.

Description: This note develops the optimality of the put option as a hedging strategy. For an investor who owns a stock, he can buy a put option to hedge against the downside risk of the stock price. In this short note, we ask two questions with the hedge strategy of the put option. First, whether the investor is better off with the hedging strategy? Second, if the investor is better off with the hedging strategy, whether it is the optimal hedging plan? Our result shows that in a risk averse world an investor will maximize his utility with buying the put option as a hedge strategy.

Description: From a panel discussion session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 Overview of New York Regulation 163, including the limits on different types of derivative activities, the Derivative Use Plan required by New York, and the reporting and control requirements.

Description: Presented at May 1996 Spring Meeting. Panelists discuss the accounting, tax, internal control, and regulatory issues associated with derivative securities and provides an update on recent developments.

Description: In December 2007, Goldman Sachs launched a product called QxX index swap, which is designed to allow market participants to hedge or gain exposure to longevity and mortality risks. This presentation offers a quantitative analysis of this brand new financial innovation. First of all, the presentation sets up a risk-neutral framework to price QxX index swaps. This framework, which is based on the dynamics of death rates under a two-factor stochastic mortality model in a risk-adjusted probability measure, yields prices [spreads] that are fairly close to the spreads that Goldman Sachs currently offers. The presentation then explores the uncertainty involved in this model-based pricing framework. Specifically, it studies parameter risk by using Markov Chain Monte Carlo [MCMC] and model risk by examining structural changes in mortality dynamics. The results indicate that both model risk and parameter risk are significant. Actuaries should therefore be aware of these issues when placing a value on a longevity index swap.