Incorporating reserve value added (RVA) into reinsurance decision making for long-tail lines is a step in the right direction. However, it is not the full story, as the decision is still typically made in the context of a single accident year and usually for a single line of business in isolation. The cycle correlations clearly show that this is sub-optimal. We are encouraging our clients a step further along the sophistication and hence simplicity/complexity spectrum.
Posts Tagged ‘modeling’
Casualty catastrophe occurrences have become increasingly common over the past decade. The recent 2008 financial catastrophe is the easiest to cite, due to its sheer size and the fact that it continues to unfold even today. But, there have been many others. The collapse of the “dotcom economy” led to scandals around initial public offering laddering and equity analyst conflicts of interest. Accounting firms were not alone in suffering financial loss related to such debacles as Enron, WorldCom, Tyco and Adelphia. While insured losses did not reach those of property catastrophes, economic damages were profound. Enron’s loss of USD66 billion in market capitalization alone - not including the economic damage caused to other companies - was more than double that of Hurricane Ike (approximately USD30 billion). The financial catastrophe is estimated to have caused economic damage of above USD1 trillion, with more likely to follow. When considered in the context of the Deepwater Horizon industrial accident, the casualty catastrophe that unraveled from the largest US offshore energy event over the past 40 years was by no means remote. Beyond the initial property loss of the actual drilling rig, liability risk in paying claims continues to extend and ripple throughout the supply chain involved as well as the environmental impact to numerous coastal and commercial businesses. Asbestos litigation, perhaps the longest casualty catastrophe on record, has paid out over USD70 billion and by some accounts may be entering its third wave. Therefore, asbestos is an emerging crystalizing risk that needs to be continuously monitored, measured and modeled for those who continue to be exposed to it.
Modeling methodologies for terrorism have been continually refined and updated since the three major modeling companies - AIR Worldwide (AIR), EQECAT and Risk Management Solutions (RMS) - released their first terrorism models in 2002. Quantifying the economic, insured and human losses from a terrorist attack continues to pose major challenges for (re)insurers and alternative capacity providers. There are three main techniques to model terrorism risk:
Some may question why terrorism risk has a place in a document dedicated to emerging risk. Terrorism as a form of violence to promote cause or promote change is one of the original human conflicts. The wind blows and the earth shakes much the same way now as it has for hundreds, thousands of years. However, terrorism as a risk and a peril has evolved over the years and is a current concern in all parts of the world. Given the growing population, regional conflicts producing a broad list of potential instigators, the expansive reach of social media for extremists spreading their messages and recruiting and the diversity of possible attack modes to cause human and economic loss, terrorism does qualify as an emerging risk. With this contemporaneity in mind, we will discuss terrorism as an example of an emerging risk that is being aggravated by changes in geo-political events and in the continued notable challenges in modeling its ever changing underlying complexities.
Cyber-attacks and Terrorism Revealed as Top Emerging Risks for 2015, According to Annual Guy Carpenter Survey
Cyber-attacks and terrorism are ranked among the top emerging risks concerning the (re)insurance industry in the year ahead, according to a survey released today by Guy Carpenter. According to the findings, new products, expansion into new geographic markets and access to new distribution channels will be the primary drivers of profitable growth in 2015.
Mutual insurance companies of all sizes currently face challenging market conditions where success requires not only focused distribution and operational excellence, but also access to increasingly sophisticated analytics services and products. How these firms use their resources and advanced technology to respond to these issues will separate market outperformers from underperformers.
Guy Carpenter and Oliver Wyman, both wholly owned subsidiaries of Marsh & McLennan Companies, released the 2014 Insurance Risk Benchmarks Research: Annual Statistical Review, the first in a two-part series detailing research executed in collaboration with Columbia University. This, the fourth annual report, provides detailed analysis and insight on the property/casualty industry to help insurers strategically evaluate and benchmark inputs to economic capital models.
Matthew Day, Head of Rating Agency Advisory, Strategic Advisory EMEA - Capital Optimization
What drives (re)insurer capital planning? Maybe it is risk appetite, internal dynamic capital modeling or actuarial analysis. Or perhaps it is external pressure from regulators, rating agencies or investors. In reality, it is probably a combination of all of these factors. Faced with conflicting views of what constitutes both the available capital and the assessment of the amount required relative to the risk, optimizing (re)insurer capital adequacy is likely to be a key challenge confronting a company. Rarely will the company be able to fully satisfy all the demands. Developing a management framework to evaluate, analyze and compare these divergent needs is therefore essential to extract the maximum efficiency from (re)insurer corporate capital structure.