The obvious response to the issues emerging risks provide is to make sure reserves and capital position are more than robust enough for any eventuality - however remote - and then release them when the risks fail to materialize. But, there are many arguments against this as a practical strategy:
Archive for the ‘Casualty’ Category
The chart below attempts to illustrate the solvency calculation issue. Suppose the best estimate is 20 and the assessment from modeling is that the 1-in-200-year ultimate loss is 100. If all else stays the same and with the simplifying assumption that the yield curve stays flat, one can say that the sum of the 1-year solvency capital requirements (SCRs) approximated the difference between 100 and 20 (i.e. 80). Yet, because of the discounting, when in time the change in own funds is recognized, is important. The black line represents a linear recognition pattern so the 1-year SCRs are all equal with increments of 10. The blue line represents a Binary Fast recognition so the first year SCR is 80 and the remaining years’ SCR are zero. This means that the deterioration is recognized quickly. The red line again shows binary recognition but with a slow pattern as the movement is only occurring toward the end of the liabilities’ life. The two curves in light blue and light red represent less severe versions of the binary forms.
As discussed in the Executive Summary of this report, the term “crystalization of risk” refers to the timescale over which we realize that the risk is manifesting itself and how this view changes until ultimate understanding of quantum is reached and all liabilities are discharged. The “Reserving Risks” section in last year’s report, Ahead of the Curve: Understanding Emerging Risks looked at how information emerges in the presence of reserving cycles. The profit or loss in any particular financial year is made up of not only the profit or loss from the same accident year but also any recognized changes in the reserves on prior years.
Reserving and Capital Setting: Sizing the Problem, Part III: Quantifying Emerging Risks; Expert Judgement
Data quality and availability should also be examined in depth. Because the risks are new, the data may not be captured correctly to power the model, which will lead to further uncertainty and may even preclude the use of a model altogether.
Once the risks have been identified and ranked, the next step is how to quantify the likely impact on the financial results of the firm. The first and most obvious question is what available quantification techniques are available for each risk on the list. This will depend on the availability of relevant data and commercially produced models.
1. Guy Carpenter Forms Strategic Alliance to Develop Cyber Aggregation Model: Guy Carpenter & Company announced the formation of a strategic alliance with Symantec Corporation, a global leader in cyber security, to create a cyber aggregation model. The model will include a comprehensive catalogue of cyber scenarios from which insurers can derive frequency and severity distributions to measure the potential financial impact of loss from both affirmative cyber coverages and “silent” all-risk policies where cyber is the peril, but no cyber exclusions exist.
2. Fort McMurray Wildfires - Canada: Recent rainfall and cooler temperatures have helped to reduce spread of the wildfire that recently rendered devastating impacts to Fort McMurray, Alberta, Canada. Nevertheless, the fire continues to grow outside the city and has now claimed 2,020 square kilometers (790 square miles), according to media reports. A general trend of cooler temperatures is expected through this week, before another warming trend next weekend.
3. Risk Profile, Appetite, and Tolerance: Fundamental Concepts in Risk Management and Reinsurance Effectiveness: Prior to the recent turbulence in the financial markets, insurers and reinsurers were increasing their use of enterprise risk management (ERM) to make risk and capital management decisions. While this was driven in part by rating agencies and regulators, many carriers began to recognize the value of metric-based frameworks and capital models in evaluating their portfolios.
4. China Risk Oriented Solvency System (C-ROSS): The China Insurance Regulatory Commission (CIRC) is instituting sweeping changes through its three-tiered China Risk Oriented Solvency System (C-ROSS) framework that will dramatically impact how (re)insurers conduct business. It will strengthen capital requirements, risk management and transparency disclosures - bringing China in line with, and in some cases overtaking, global standards. The C-ROSS framework is similar to Solvency II: three tiers focusing on quantitative, qualitative and disclosure requirements.
5. Stochastic-based BCAR: Do You Understand Your “Capital-print”?: Technology and innovation continue to change the world around us, creating both opportunities and new challenges for the (re)insurance industry. Advances in risk quantification such as predictive analytics and capital modeling, to name a few, are changing the way we underwrite, price and manage risk. Similarly, technology is allowing A.M. Best (Best’s) to advance the analytics of risk supporting its assessment of balance sheet strength. Taking advantage of stochastic modeling technology, the evaluation of risk within Best’s capital model is undergoing a fairly substantial overhaul to broaden the lens used to analyze risk relative to capital. The technology allows efficient production of multiple capital metrics adjusted for a range of risk levels rather than risk represented by just one data point, providing deeper insights into balance sheet strength, risk profile and risk appetite.
6. Chart: Global Property Catastrophe ROL Index 1990 to 2016: The Guy Carpenter Global Property Catastrophe Rate on Line (ROL) index is presented for 1990 through 2016.
7. Increasing Confidence and Transparency in Your Catastrophe Risk Decisions: Could you afford to find that the portfolio you just acquired in North Carolina is more exposed to hurricane than previously assumed? What if next year’s Category 2 hurricane caused a loss in excess of 15 percent of your policyholders’ surplus? How will the changes in the U.S. Geological Survey National Seismic Hazard Maps impact your exposure to earthquake risk in the central and eastern United States?
8. Risk Analytic Tools: Public sector-related data can be expansive, containing census data, property risk characteristics, historical loss information, risk rating matrices and natural hazard event scientific tracking. In order to facilitate packaging the sometimes unwieldy data in a way that is useful for risk decision making, utilizing outside resources to improve data transparency can be valuable. Public sector resources devoted to building tools that measure risks that are perceived as “uninsurable” can unlock private sector funding.
9. Cyber Risk: As businesses, both large and small, throughout all sectors of industry, become more and more reliant on technology to improve service efficiencies and functionalities, cyber risk has become one of the most pressing public topics addressed in corporate boardrooms and by governments across the globe. The corresponding awareness of a business’s susceptibility to a cyber-attack has grown along with a spate of high-profile attacks. Consequently, cyber risk is now an embedded feature of the global risk landscape, not only as a privacy/network liability, which is where much of the publicity has arisen, but also as a peril affecting traditional insurance lines.
10. Guy Carpenter Reports on Kumamoto Earthquake, Seismic Risk and Earthquake Cover in Japan: Guy Carpenter & Company released a briefing and analysis of the Kumamoto Earthquake that struck Japan in April 2016.
Loss reserves are arguably one of the most difficult risks to estimate and monitor. In fact, inadequate pricing and deficient loss reserves have been the leading cause of property/casualty company impairments. According to A.M. Best, from 1969 to 2009 they triggered approximately 40 percent of all impairments - four times more than those emanating from natural catastrophes (1). There are many uncertainties in managing long-tailed, heavily legislated lines of business that can be triggered from emerging risks. Unforeseen inflation and anticipated legislative changes over a 10 to 30 year period present many demands. In order to prepare for emerging risk scenarios, future trends and related uncertainties need to be explicitly identified, contemplated and estimated.
As businesses, both large and small, throughout all sectors of industry, become more and more reliant on technology to improve service efficiencies and functionalities, cyber risk has become one of the most pressing public topics addressed in corporate boardrooms and by governments across the globe. The corresponding awareness of a business’s susceptibility to a cyber-attack has grown along with a spate of high-profile attacks. Consequently, cyber risk is now an embedded feature of the global risk landscape, not only as a privacy/network liability, which is where much of the publicity has arisen, but also as a peril affecting traditional insurance lines. Therefore, preventative and post-event remediation are gaining importance as shareholders, regulators and rating agencies are increasingly focused on enterprise risk management activities for cyber risks.
Guy Carpenter & Company today announced the formation of a strategic alliance with Symantec Corporation, a global leader in cyber security, to create a cyber aggregation model. The model will include a comprehensive catalogue of cyber scenarios from which insurers can derive frequency and severity distributions to measure the potential financial impact of loss from both affirmative cyber coverages and “silent” all-risk policies where cyber is the peril, but no cyber exclusions exist.