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

Description: This article will further discuss decentralized and centralized model development frameworks and provide tips and rationale for transitioning toward centralized model development.

Description: Latest in our on-going series in which we have a candid discussion with one the insurance industry's most respected and high profile risk practitioners

Description: The purpose of this paper is to define a predictive model, based on known system attributes, for assessing risk associated with information systems.

Description: This paper evaluates the current practice of operational risk management in the insurance sector. Operational risk is nothing new in insurance, but, because of regulatory requirements, companies have initiated computation of risk capital for their operational losses. The current effort to manage operational risk is not a naturally evolving phenomenon, and operational risk, in the Basel Committee on Banking Supervision’s Basel II definition, is unlikely to be a significant cause of insurers’ failure. In addition, the current Basel II definition of operational risk is not suitable for the insurance sector. Consequently, the invention of models and tools based on the definition is incomplete and illusionary. My findings are based on the analysis of dozens of interviews with insurance industry professionals. I demonstrate the way operational risk is quantified in practice, show that the result obtained from this computation is of littl e use in managerial decision making and propose a set of policy recommendations illustrating the characteristics of operational risk in insurance. This study can be used as a platform for launching dialogues to initiate fresh thinking about operational risk in insurance beyond the current artificial and narrow boundaries.

Description: This report provides a resource guide for asset-liability management practitioners, including methodology reviews, a survey of ALM practices, and guidance for applying ALM questions to real-world situations.

Description: A research report that examines the effect of ERM adoption on a firm’s corporate reputation.

Description: The Casualty Actuarial Society, the Society of Actuaries Research Institute, the Society of Actuaries Joint Risk Management, Reinsurance and Financial Reporting Sections are pleased to make available key findings from the 2022 Emerging Risks Survey, the sixteenth in the series. Conducted by Max J. Rudolph of Rudolph Financial Consulting LLC, the survey incorporated a set of Emerging Risks defined by the World Economic Forum as the basis for several of the questions. The survey also included questions related to current risk management topics.

Description: The Survey of Emerging Risk has been successfully conducted in North America for 16 years, consistently providing reports that track risk managers' opinions on emerging topics transcending the current business cycle, with strategic plans extending over decades. Since 2022, the survey has been specifically introduced to the Asia-Pacific markets with local language support, aiming to gauge actuarial and risk management professionals' opinions on emerging risks in the Asian market.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.