Description: Insurance company issues that do not necessarily arise in banks are identified and utilized to develop insurer ERM modeling approaches that start from the work done for banks but respond to insurance-specific matters. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: Improving understanding of the complex relationships among financial entities is critically important for risk managers and for financial authorities charged with multiple policy objectives. High quality information is lacking at both the intra- and inter-enterprise levels and to support analysis of the financial network. Put simply, the current quality and quantity of relationship data is not sufficient to deliver on the ultimate objectives. For the purpose of this discussion we use a very generic definition of a term relationship somewhat similar to the definition used to describe human relationships. And like in the human relationships case we will not claim that only marriage and blood connection makes your relatives, but also loaning a book, loving, hating and sharing a flat. In the financial context, the relationships may be determined by accounting rules set, for example, by IFRS or US GAAP, as well as regulatory requirements in areas o f risk management, market integrity, know-your-client, network analysis and statistical consolidation. The financial industry and regulators have spent countless hours arguing and debating the definition of ownership. The problem lies in the question itself. We suggest that as part of any relationship data system the best approach is to put the question aside and avoid a conceptual and practical quagmire. Rather, we recommend collecting and storing less-subjective granular data on theactual legal and economic relationships between firms, which provides a flexibleframework from which any user can answer the question on corporate relationships he or she determines is appropriate at a given time. Encouragingly, technological solutions are available to accommodate this multiplicity of requirements in a single solution. The paper outlines where the practical challenges are that inhibit the development of high quality relationship data and how they can be overcome.

Description: The Indian market holds tremendous potential for insurance products, especially in segments that remain untapped. The market is evolving in terms of market penetration, product innovation, regulatory changes, government initiatives, capital adequacy and customer experience. In this report, we have highlighted insurance trends in India based on insights gathered from practitioners' interviews, available research and literature, with a particular focus on the enterprise risk management (ERM) function of insurance companies.

Description: This paper examines how incentives created by management structures and performance measurement systems affect a corporation’s risk management decisions.

Description: This is the full report summarizing the results of the 2017 Emerging Risks Survey, the eleventh in the series.

Description: This is report summarizes the results of a Joint Risk Management Section sponsored study on negative interest rates and the insurance industry.

Description: This is intended to serve as a fundamental resource for a basic understanding of ERM, as well as a guide to further study of the subject. Members of the Casualty Actuarial Society have participated in the effort, as well.

Description: This is intended to serve as a fundamental resource for a basic understanding of ERM, as well as a guide to further study of the subject. Members of the Casualty Actuarial Society have participated in the effort, as well.

Description: An update to the risk management readers on what the JRMS is planning to do over 2023 to serve its membership.

Description: We will determine the role of risk function in evaluating operational risks associated with the implementation of LDTI and any system conversions. Are all models validated by the risk function before they are productionalized and results used by management to make business decisions? Does the risk function play a part in to assist finance, actuarial and investor relations in communicating changes and volatility resulting from LDTI? If not, should it? We will articulate the role that risk functions play in being part of large transformation from the start as a stakeholder/input provider to subsequently being an independent reviewer (i.e., second Line of defense).