Description: Panel discussion on current issues, trends, and methodology in individual disability income insurance, including overinsurance, pricing, financial reporting, as well as efforts by professional associations to address these issues.

Description: Forty-one years of catastrophe loss data by state are used in this study to produce a model for rating catastrophe covers for insurers in any region of the Continental United States. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This paper addresses rainfall insurance using financial derivatives. Usual modeling is done for temperature related products. The authors gathered rainfall data in Mexico City over a period of five decades. This showed that the time series data is stationary and normally distributed. Therefore, the authors applied a closed-form solution to value swaps, calls and puts, with and without limits. The model can be used for practical purpose of pricing rainfall derivatives. From Actuarial Research Clearing House, 2006.

Description: This paper stresses the importance and value of information databases. From Actuarial Research Clearing House 1993, VOL. 3.

Description: An interesting article demonstrating how life insurance premiums are treated differently around the world.

Description: Identifying and submitting all appropriate ICD-9 diagnosis codes to CMS will result in a higher risk score for the member and increased payments to Medicare Advantage plans. Milliman's HCC prevalence study illustrates the significant variations in HCC prevalence rates by age/gender, geography, and population type and will assist plans in benchmarking the effectiveness of their own diagnosis code capture efforts.

Description: The National Association of Insurance Commissioners (NAIC) is moving forward to implement a new regulatory requirement that requires U.S. insurers to perform an Own Risk and Solvency Assessment (ORSA). Before developing a response to the ORSA requirement, insurers will want to understand its genesis and the underlying rationale for it, as well as its implications. This essay provides an overview of the evolution and rationale for ORSA, as well as practical implications for insurers as they begin to design an ORSA process. Part of the essay collection "Risk Metrics for Decision Making and ORSA"