Description: In a well-designed enterprise risk management (ERM) program, the firm integrates risk management into the strategic planning process, addressing strategic risk, financial risk, operational risk and hazard risk under a single overarching process. This is particularly important to large financial firms, such as property and casualty (P&C) insurers, which face a diverse set of risks. In contrast to previous studies that document a significant product line and geographic diversification discount relative to more focused competitors, our analysis suggests that firms with effective ERM programs exhibit a performance premium. Using the Standard and Poor’s (S&P) ERM ratings from 2006 to 2012, we find that product line diversification has a significant positive effect on value for more diversified firms with well-implemented ERM programs, as compared to those with weak ERM.

Description: In a well-designed enterprise risk management (ERM) program, the firm integrates risk management into the strategic planning process, addressing strategic risk, financial risk, operational risk and hazard risk under a single overarching process. This is particularly important to large financial firms, such as property and casualty (P&C) insurers, which face a diverse set of risks. In contrast to previous studies that document a significant product line and geographic diversification discount relative to more focused competitors, our analysis suggests that firms with effective ERM programs exhibit a performance premium. Using the Standard and Poor’s (S&P) ERM ratings from 2006 to 2012, we find that product line diversification has a significant positive effect on value for more diversified firms with well-implemented ERM programs, as compared to those with weak ERM.

Description: Early detection and assessment of insurer’s insolvency risk are critically important to regulators, insurers, policyholders, and investors for fiduciary assessment of insurer’s financial stability and for protection of potential financial loss associated with insurer’s insolvency. This proposed study aims to develop a market-based insolvency prediction model to detect financially distressed insurers at an early stage with the information content of higher moments from the market.