Description: This paper explains the development of the credit derivative market, describes the most common types of credit derivatives, discusses how insurers can and do use these instruments and explains the role they played in the financial market turmoil of 2008.

Description: Discussion of significant anomalies in option pricing due to the independent identically distributed assumption of the Black Scholes formula.

Description: Insurance companies utilize derivatives in a variety of ways to manage and mitigate risks that are inherent in their investment or liability portfolios. They can be characterized by three main features: medium long-term duration; large volumes; and significant market risk exposure. Given the persistent low interest rate environment across the curve since the 2008 financial crisis, large companies need to hedge their liabilities, as illustrated by the significant recent increase from $786 billion as of fiscal year 2010 to $1,885 billion as of FY 2014 by insurance companies.As the Variable Annuities (VA) guarantees embedded within those liabilities hold a strong convex risk profile with respect to the underlying stock, VA carriers need to buy some convex hedge assets such as options to match the liability risk profile to improve hedge effectiveness, implying the growing cost of hedging. Such market impact of the quantity on the cost of hedging is further magnified in the recent period with the short-lived, but sharp transitions from low volatility to high volatility, when market volatility suddenly increases, even when there were no well-known fundamental catalysts. This partially stems from the growing managed volatility funds embedded within VA ($bn 400).VA carriers willing to trade a large quantity of options will see such market impact as an important dilemma, as the cost of placing one large order to close position will be far greater than the sum of infinitely small orders differed in time. In that context, managing market impact requires introducing an explicit market impact function, the influence of which the agent will try to minimize. The effect on hedge asset prices significantly depends on whether there is or not significant delta hedging activity. In case of no significant delta hedging activity, the risk appetite has a significant influence on the optimal execution strategy. If there is significant delta hedging activity, the optimal trading involve

Description: This paper presents a new methodology for obtaining fast algorithms and closed form solutions for pricing callable bonds in continuous time models. Results are directly applicable to regulatory scenario testing, immunization and market value accounting.

Description: This presentation is a Teaching Session, number 29TS, from the 2002 Valuation Actuary Symposium, held September 19-20 in Lake Buena Vista, FL. The panelists describe the three basic types of credit derivatives: total return swaps, credit default swaps, and credit spread options. They discuss techniques used to price credit derivatives, accounting and required capital treatment, the size and growth of the credit derivative market in the U.S., Canada, and globally, and early experience and performance of credit derivatives in an actual default case. Discussion from participants is included.

Description: Institutional investors seeking to hedge have no shortage of choices, and need the right framework to manage the different risks in portfolios as they arise. This article analyzes performance of different equity hedging strategies over the last 15 years, and lays out a potential hedging framework that takes into account types of risks being hedged, fundamental views, and current market pricing of protection.

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: Presented at August 2011 Actuarial Research Conference. Provides examples of how to model extremes in weather utilizing Monte Carlo simulations and discusses how to create a derivative financial instrument that pays-off if target extreme weather conditions are met.