Description: This is Table 2 from a March 2011 presentation at the 2011 Enterprise Risk Management Symposium entitled Capital Allocation in the Property-Liability Insurance Industry.

Description: This paper, part of the Society of Actuaries [SOA} ‘Research Projects – Finance/Investment,’ is presented by the SOA’s Committee on Finance Research. This research project, jointly sponsored by the SOA and the Casualty Actuarial Society [CAS], explores economic series and provides an Excel-based tool for generating future economic scenarios. In addition to the paper, which includes an excel workbook containing results of model simulations, there are the following appendices - Appendix A, a 26 page ‘user’s guide,’ Appendix B, a 91 page document entitled ‘Presentations of This Research,’ Appendix C, a zipped file containing hundreds of scenarios i.e., simulation paths of financial and economic variables, generated as output from the Financial Scenario Model, and Appendix D, the model itself in an Excel workbook.

Description: This paper represents a brief progress report on research, being sponsored by the Casualty Actuarial Society CAS and the Society of Actuaries SOA, in the area of modeling of economic series. In particular, research is being undertaken to provide a foundation for the actuarial community’s modeling of a variety of economic variables, including interest rates, equity returns, inflation, unemployment rates, and real estate price levels. The specific objectives of this research are to provide a summary of the literature in the area of economic scenario modeling, identify data sources and methodologies in this area useful to the actuarial profession, and produce working software for economic modeling, including appropriate documentation, to be made available to the general actuarial community in order to allow actuaries to use and build upon this research.

Description: In May, 2001, the Casualty Actuarial Society (CAS) and the Society of Actuaries (SOA) jointly issued a request for proposals on the research topic “Modeling of Economic Series Coordinated with Interest Rate Scenarios.” The objectives of this request were to develop a research relationship with selected persons to investigate this topic; produce a literature review of work previously done in the area of economic scenario modeling; determine appropriate data sources and methodologies to enhance economic modeling efforts relevant to the actuarial profession; and produce a working model of economic series, coordinated with interest rates, that could be made public and used by actuaries via the CAS / SOA websites to project future economic scenarios. Categories of economic series to be modeled included interest rates, equity price levels, inflation rates, unemployment rates, and real estate price levels.

Description: The actuary’s key role in the ORSA process should be to quantify the uncertainty surrounding the future financial results of the firm. By providing relevant standardized reports that clarify the uncertainty in terms easily understood by all stakeholders, the actuary will provide an essential element in the ORSA process. The dictum, "You can't manage what you can't measure." demonstrates the need to quantify risk, not just describe it qualitatively. While the ability to provide firm estimates of aggregate risk for complex organizations may not exist currently, doing so should be a target for the profession. The end result will be to enhance the financial security of the insurance industry at a time when all financial institutions are facing stakeholders skeptical about their financial condition. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: This is an Excel 2003 spreadsheet that accompanies the research report entitled 'The Effect of Deflation or High Inflation on the Insurance Industry.' It models scholastically the effects of inflation and deflation.

Description: This monograph was presented at the 2011 Enterprise Risk Management Symposium, held March 14-16 in Chicago. The author, writing from a property-liability insurance perspective, notes that capital allocation is a theoretical exercise because all of a firm’s capital could be depleted to cover a significant loss arising from any one segment. However, firms do need to allocate capital for pricing, risk management and performance evaluation. In this paper, the cost of capital in financial markets is incorporated into the Ruhm-Mango-Kreps algorithm to yield one allocation that reflects the true cost of capital an insurer would face. Abstract only.

Description: This monograph was presented at the 2011 Enterprise Risk Management Symposium, held March 14-16 in Chicago. The author, writing from a property-liability insurance perspective, notes that capital allocation is a theoretical exercise because all of a firm’s capital could be depleted to cover a significant loss arising from any one segment. However, firms do need to allocate capital for pricing, risk management and performance evaluation. In this paper, the cost of capital in financial markets is incorporated into the Ruhm-Mango-Kreps algorithm to yield one allocation that reflects the true cost of capital an insurer would face.

Description: This research report on the effect of deflation or high inflation has six sections: 1. The first section provides background on inflation, describes some problems in measuring inflation, and explains some of its effects on an economy. 2. The second section reviews historical inflation rates. 3. The third section examines the effect of inflation or deflation on the property-liability and life insurance industries. 4. The fourth section proposes risk mitigation strategies for insurers to cope with either deflation or high inflation rates. 5. The fifth section describes a publicly available model that can be used to develop inflation/deflation projections under a regime switching format that can readily be adjusted to reflect current financial uncertainty. 6. The sixth section provides conclusions.

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.