Description: Advanced Topics in Corporate Finance and Enterprise Risk Management (ERM) covers a broad range of corporate finance concepts. As part of a 10-year strategic plan exercise, you'll apply opportunity engineering to help guide senior management in introducing a new product to market. You'll also focus on three applications of Extreme Value Theory (EVT), which are covered and tested in a business context.

Description: In this article, the author presents a case for using a Risk Return On Capital approach as a way to integrate desirable properties of the Economic Value Added approach and the Return On Risk-Adjusted Capital approach. The EVA approach has a shortcoming in that is does not reflect rating agency capital. The RORAC is computed as the ratio of expected total underwriting return to allocated risk capital, and represents the expected return for both benign and potentially consumptive usage of capital. The RROC approach measures returns after reflecting the mean rental cost of rating agency capital. Returns that are a reward for exposing capital to risk of loss are measured after reflecting the cost of carrying capital to support premium written and loss reserves.

Description: The surge in interest rates over the past few years presents opportunities for life insurers to enhance their Asset and Liability Management (ALM) positions through asset rebalancing to narrow the duration gap and secure higher risk-adjusted yields. This webcast introduces a robust, efficient and readily-executable, liability-driven strategic asset allocation (SAA) framework and implementation considerations. At the conclusion of the webcast, attendees will learn about the key objectives and practical considerations for a successful SAA.

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.

Description: This report describes and demonstrates a method to understand reputational risk that an insurance company can apply to the unique circumstances of the insurance firm. This method applies a policy-capturing survey with scenario analysis to generate insight into reputational risk from the perspective of a variety of stakeholders. Also included is instruction for spreadsheet-based query and reporting to facilitate the use of the information in the risk management function.

Description: Our previous article, “Introduction of Cashflow Matching Strategic Asset Allocation (SAA) Framework,” introduced the concept and included a real-world case study that developed a liability-driven investment strategy for a single line of business (LOB) for a life insurer. This article expands the framework and the case study from a single LOB to simultaneously optimize asset allocation across multiple LOBs. It discusses how this multi-line SAA framework can enable an insurance company to efficiently tag its asset holdings to each LOB, identify opportunities in the public and private asset markets to enhance risk-adjusted returns, and develop a deeper understanding of the trade-off between the degree of cashflow matching and risk-adjusted returns across LOBs.

Description: This session will address the risk management, reserving and capital issues associated with index-linked annuities including financial reporting considerations for FIAs and RILAs, benefits of combining VA and RILA hedging and reserving under VM-21, current and future challenges with FIA reserving under VM-22, potential capital redundancy for FIAs, RILA interim values under AG 54, NAIC economic scenario reform, asset modeling, fund mapping and more!

Description: There will be inflection points in the value of an instrument when interest rates change. These inflection points could materially impact the approximation of value change using ALM metrics. In this part of the seven-part series, I will highlight: • How to identify the inflection points; • the range of rate changes where ALM metrics may be relied upon i.e., the “validity” range, outside of which recalculation of the ALM metrics is required and the potential that one needs to rebalance the portfolio; • a technique to improve on the approximation of value change beyond the validity range; and • a technique to convert non-linear change on the yield curve to be used with duration and convexity.