Description: A critical step in valuing a company for the purpose of financial reporting is the computation of the market value of economic surplus (MVES). This article provides a novel approach to the valuation of MVES that is stable and reasonably immune to “market noise.” Current approaches to the calculation of economic surplus of an insurance company generally define such surplus as the market value of the assets (MVA) supporting the liabilities less the market value of liabilities (MVL). While MVA is observable in the market, MVL is typically computed directly, without regard to the underlying supporting assets. Subtracting MVL from any value of assets that changes with market movements results in an unstable surplus. Consequently, a surplus that is not fully reflective of market sentiment has been rejected by many. This same approach is further used in the calculation of market consistent embedded value (MCEV) when a balance sheet approach is used .

Description: This article summarizes the results of the eleventh annual survey of emerging risks.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: This case study is intended to educate insurance professionals on historical insurer impairments and insolvencies and possible future prevention indicators.

Description: Discusses various quick fixes for Y2K computer issue.

Description: a review of mergers and acquisition activity during the first half of 2004

Description: This article discusses the impact of ERM on smaller insurance companies.

Description: This article is a summary of two presentations sponsored by the Small Insurance Company Section. The first was a webcast on March 13, 2012, and the second was at the ERM Symposium on April 20, 2012.

Description: Find out what roles reinsurance and reinsurance intermediaries play for ceding companies in need of capital and the providers of such capital.

Description: Baseline and what-if/stressed projections of cash flows, financial statements and capital requirements are critical inputs to a range of business purposes, including forecasts, risk management, liquidity management, strategic decision making, etc. Forward looking projections have historically been inefficient and performed in silos making it difficult to scale the process as CFOs and CROs ask for more. In this session we discuss challenges of the forecast process and opportunities to meet desired future capabilities. We will also discuss “what-if” analysis and ways to support production of forward looking projections for “what-if” analysis in an efficient way.