The Geneva papers on risk and insurance. Issues and practice最新文献

The purpose of this research is to examine whether insurers have improved their economic performance through efficiency as a reaction to the prolonged period of low interest rates. The results of an analysis of 22 years of data, using a two-stage data envelopment analysis approach (DEA), show that there is an inverse relationship between efficiency and interest rate. The non-life insurance group had a superior level of efficiency compared with that of the life insurance group. It seems that life insurance companies, to some extent, transferred their inefficiency to customers to maintain their solvency. Additionally, this research shows that companies with substantial market power and bancassurance exceeded the performance of the rest of the industry.

Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020, indicating an increase of more than 50% since 2018. With the average cyber insurance claim rising from USD 145,000 in 2019 to USD 359,000 in 2020, there is a growing necessity for better cyber information sources, standardised databases, mandatory reporting and public awareness. This research analyses the extant academic and industry literature on cybersecurity and cyber risk management with a particular focus on data availability. From a preliminary search resulting in 5219 cyber peer-reviewed studies, the application of the systematic methodology resulted in 79 unique datasets. We posit that the lack of available data on cyber risk poses a serious problem for stakeholders seeking to tackle this issue. In particular, we identify a lacuna in open databases that undermine collective endeavours to better manage this set of risks. The resulting data evaluation and categorisation will support cybersecurity researchers and the insurance industry in their efforts to comprehend, metricise and manage cyber risks.

Supplementary information: The online version contains supplementary material available at 10.1057/s41288-022-00266-6.

While some consider open insurance to be a buzzword with more hype than substance, the underlying trend of open finance stimulates insurers to use digital technology to exchange data with third parties to realise process efficiencies and develop new products and channels. Based on a literature review and 30 interviews with industry experts in Europe, we define open insurance, identify its key drivers, and discuss the dimensions and performance impact of open insurance strategy. The combined insights can help executives develop a better understanding of open insurance and formulate an open insurance strategy that provides performance benefits to them, customers, and third parties.

This paper tests potential determinants of the development of the insurance sector. Using a rich dataset for 24 European countries spanning two decades, we identify a set of macrofinancial factors that are the most robust predictors of growth of gross premiums in the life and non-life insurance sectors. We show that both life and non-life premiums co-move with the business cycle and are positively related to higher savings and a more developed financial system. In addition, we provide new evidence on the role of market concentration and price effects. We find that market concentration matters only for life insurance, whereas the price channel is significant only for non-life insurance. From a policy perspective, our empirical estimates can be used to refine the existing macroprudential stress tests of the insurance sector.