As optimistic as researchers may be, however, responsible decisions must be made regarding nanotechnology’s development and use. Growing evidence suggests that nanoparticles - the basic building blocks of nanotechnology and the tiniest materials ever engineered and produced - may pose environmental, health and safety risks. As such, it appears that the industry is currently caught between stages 2 and 3 of the insurance coverage cycle below:
Posts Tagged ‘risk management’
Many scientists view nanotechnology as the revolutionary technology of the 21st century. Just as plastics were a pervasive and revolutionary product of the 20th century, nanotechnology products are having widespread use and change our lives in a myriad of ways. This technology has quickly evolved into a global force that is transforming manufacturing, medicine and an ever increasing number of consumer/food goods. The field has become a worldwide market worth an estimated USD 1 trillion and is projected to grow at a rate of 16.5 percent through 2020 (1).
Here we present GC Capital Ideas’ stories on analyses of enterprise risk management disclosures. A 2014 study updated the analysis done in 2009, one of our most popular stories. The full briefings are attached.
Here we review GC Capital Ideas posts on the benefits of enterprise risk management practices in supporting (re)insurance capital and regulatory decision making.
Here we review GC Capital Ideas posts on how catastrophic exposures are adversely impacting public entities.
Here we review GC Capital Ideas posts on the challenge the peril of cyber risk poses for (re)insurers and rating agencies and how the management of this risk is evolving.
Here we review GC Capital Ideas posts on the use of data to help gain insights into risk and develop risk management and mitigation solutions.
Here we review GC Capital Ideas posts on the challenges bringing the public and private sectors together to manage catastrophe risk exposure.
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:
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.