Posts Tagged ‘modeling’
Julia Chu, Managing Director, Guy Carpenter and Ashwin Kashyap, Director of Product Management, Symantec Corporation
Cyber risk is now an embedded feature of the global risk landscape, and preventative risk management and post-event remediation are gaining importance as shareholders, customers, supply chain partners, and regulators are increasingly focused on how companies are managing for cyber risks. Insurance is becoming an important piece of the strategy for helping businesses address these risks.
Newest Versions of Patented Capital Modeling Tools Enhance Automation and Integration, Estimate Inflationary Risk, and Improve Run-Time: Guy Carpenter Introduces MetaRisk® Reserve™ 5 and MetaRisk® 9
Guy Carpenter today announced the launch of MetaRisk® ReserveTM 5 and MetaRisk® 9, the latest updates to its powerful suite of capital modeling tools built on more than 25 years of research and development.
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.
Tim Gardner, CEO of U.S. Operations
Today’s rapidly changing global environment presents insurers with many challenges and opportunities as capital management and risk transfer techniques evolve at an unprecedented pace. Stakeholders, regulators and ratings agencies are deepening their focus on risk management practices, and revolutionary developments in technology, including the Internet of Things and hyper-connectivity, are driving companies to adapt to the challenges that senior management faces to support risk management decisions material to their business.
A.M. Best’s More Transparent Ratings Criteria Provide Benefits to Insurers That Proactively “Own Their Ratings”
Eric Simpson, Managing Director
Maintaining or improving ratings is a priority for most insurers. This can be challenging amid increasing demands for companies to “own their risk” (Own Risk and Solvency Assessment “ORSA”) in an environment of evolving rating agency requirements, including A.M. Best’s (Best) proposed ratings methodology and Stochastic-based Best’s Capital Adequacy Ratio (BCAR) criteria.
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.
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.
Casualty (re)insurers do not cover standalone emerging risks. A product defect (with recall) or a latent bodily injury resulting from new technological nano-products or Unmanned Aerial Systems risks, could lead to class action lawsuits and ultimately large liability claims including products liability as well as professional liability. This emergent reality, however, is difficult to address. A carrier would need to identify and model several possible epicenters of a liability chain reaction and follow their rapidly spreading implications throughout a portfolio. Without new powerful casualty modeling capabilities as well as highly granular data on the products and subcomponents that each of their insureds manufacture and sell globally, this process would be time-consuming, impossible to complete and likely to miss key threats and underlying exposures.