Technology is changing the way businesses evaluate risks, transforming customer interactions, and overhauling the purchase process. As traditional insurers strive to overcome legacy systems and practices, how are they successfully keeping pace with new InsurTech entrants? In the Milliman Impact article “Setting the pace: InsurTech transformation,” Neil Cantle, Russell Osman, and Pat Renzi offer their perspectives on the challenges that traditional insurers must navigate.
In the aftermath of Hurricanes Harvey and Irma there’s been increased public attention to both government-sponsored flood insurance (the National Flood Insurance Program, offered through FEMA) and the potential rise of a private flood insurance market. In Florida, a recent analysis by the Associated Press found that of the state’s 38 coastal counties, only 42% of homes are covered by flood insurance. The same analysis found that of the roughly 2.5 million homes in Special Flood Hazard Areas, Florida’s overall flood insurance rate for hazard-zone homes is just 41%.
Flood risk continues to be one of the most difficult perils to price for the homeowners industry. More than any other catastrophic peril, flood risk varies over short distances; critical factors that contribute to flood risk include elevation, relative elevation, distance to coast, and distance to river. This spring, Milliman, along with risk modeling firm KatRisk, sought to independently model the feasibility of a private flood insurance market in Florida, Texas, and Louisiana. The infographic below provides some of our findings for all single-family homes in the state of Florida:
Have you ever wondered what options would be available to your company should it get into financial difficulty? Does your company have a ‘plan B’ and how practical and realistic is it? These are questions (re)insurance companies may soon need to answer. Recovery and Resolution Plans (RRPs) have already been introduced in the banking industry. In this blog I outline a few insights the insurance industry can learn from the recovery and resolution planning process which the banking industry has already commenced. (Re)insurance companies may find this useful particularly in light of the European Insurance and Occupational Pensions Authority (EIOPA) opinion issued last month recommending a harmonised recovery and resolution framework for all insurers across the EU.
Based on the feedback from the banking industry, it would appear that there is more to recovery and resolution planning than meets the eye. In the banking industry, recovery plans, for example, are intended to be living documents which demonstrate that the recovery strategies presented can be implemented in reality—and that is not an easy task.
The following diagram illustrates the embeddedness of recovery plans within banks as well as some of the key considerations which I will expand upon in this blog.
Recovery plans can span hundreds of pages as the practicalities of recovery strategies are explored in great detail in order to have a plan of action in place that is realistic, achievable and capable of being put into action straight away. Regulators expect a short timeframe for implementation of a recovery plan, with the recovery strategies presented typically required to be fully executable within a 12-month period. In addition, it is expected that the recovery strategies take account of the particular scenarios the company may find itself in. For example, the recovery strategies may vary depending on whether an idiosyncratic or a systemic risk has materialised, given that the options a company could take when it alone is in financial difficulty compared to when many companies are in the same boat may well be different.
The market for credit risk transfer (CRT) transactions continues to grow and diversify, providing institutional investors with valuable options to consider as part of their investment portfolios. In this article, Milliman’s Jonathan Glowacki and Rehan Siddique, explain CRT bonds and provide a risk profile for them. The authors also discuss how CRT bonds offer investors diversification to corporate bonds, comparing the two securities.
Here is an excerpt from the article:
Institutional investors are large investors in the corporate bond space. CRT bonds could offer diversification to corporate bonds. The table in Figure 4 compares corporate bonds with CRT bonds:
Spreading the underlying exposures for CRT bonds across many geographic areas allows for a diversification of exposures (i.e., thousands of individual borrowers) as compared with corporate bonds, which is a single entity. In addition, for a portfolio of 1,000 corporate bonds, an investor might expect 50 to default, for a default rate of 5%. With CRT bonds, you may have an expected default rate of 5% weighted across all economic scenarios, but in most of the scenarios you would experience a 0% default rate.
In terms of performance, as of February 2017, most of CRT bonds have shown positive movement in their credit ratings since issuance with none showing an unfavorable movement.
The table in Figure 6 provides a comparison of the average initial spread with corporate option-adjusted spread (OAS) over the last five years as of May 31, 2017. We can see that, historically, CRT bonds tend to have higher comparable spreads than corporate bonds. As the market for CRT bonds continues to grow and interest rates continue to rise in the short term, we can expect similar trends in spread.
By 1 January 2018 insurers, banks, asset managers and other investment firms offering packaged retail investment and insurance-based products (PRIIPs) must make a key information document (KID) available for all products offered to customers. On 18 August 2017 the European supervisory authorities (ESAs)—made up of the European Insurance and Occupational Pensions Authority (EIOPA), the European Securities and Markets Authority (ESMA) and the European Banking Authority (EBA)—published an updated questions and answers (Q&A) document on the PRIIPs KID. The first batch of Q&As was published in July.
The ESAs’ publication is aimed at clarifying aspects of the Regulatory Technical Standards (RTS) or ‘Level 2’ rules covering the specific form and content of KIDs. The latest questions addressed by the ESAs include queries on the following:
• Categorisation of a retail investor
• Market risk assessment
• Credit risk assessment
• Summary Risk Indicator (SRI)
• Presentation of costs
The combined set of Q&As, covering the first and second batch of queries, can be found here.
In addition to the latest Q&A document, the ESAs also published a useful flow diagram or decision tree showing how to perform the various calculations for the SRI and performance scenarios. This is a graphical view of the requirements set out in the RTS and a useful summary of the basic calculations. The flow diagram can be found here.
The ESAs stated they will continue to assess whether further guidance is needed based on additional questions received.
Please contact us if you have any questions or comments on PRIIPs. We would be happy to meet with you to discuss ways in which we can help you achieve a successful PRIIPs implementation including gap analysis, KID production, checking overall compliance with the PRIIPs requirements and review of KID elements, including narratives and numerical disclosure tables, etc.
Milliman has announced the launch of its latest InsurTech offering, an innovative casualty benchmarking tool that provides a new industry standard and a better, more efficient way of assessing variability in unpaid claims estimates. Milliman’s Claim Variability Guidelines™, debuting at the Casualty Loss Reserve Seminar in Philadelphia, are new industry benchmarks to help evaluate the quality of stochastic unpaid claim distributions used for Enterprise Risk Management (ERM) and DFA, including correlations for aggregate distributions. The Guidelines also stochastically support deterministic ranges used for reserving.
Milliman’s Claim Variability Guidelines are like version 2.0 of the standard benchmarks that are currently used industry-wide – they’re a modernized, robust, and efficient tool that can help insurers better understand their unpaid claims reserves. Being able to gauge the quality of unpaid claim variability estimates is a key metric in any risk management strategy, and allows insurers to more accurately price their products.
Key features of the tool include automatically adapting results based on company size, as well as the flexibility to adjust for different development patterns, currencies, and variance assumptions. For more information, Mark will be presenting on benchmarking unpaid claim estimates, as well as integrating reserve variability into enterprise risk management, at the Casualty Loss Reserve Seminar this week in Philadelphia; or click here.