论文标题
自然风险管理的公私保险模型:意大利住宅建筑的地震和洪水风险的应用
A Public-Private Insurance Model for Natural Risk Management: an Application to Seismic and Flood Risks on Residential Buildings in Italy
论文作者
论文摘要
本文提出了一项公私保险计划,以实施意大利地震和洪水,其中财产所有者,保险公司和政府合作在风险融资方面。我们的模型通过描述旨在减轻自然事件对政府承担的财务负担的公私保险来偏离现有文献,同时协助个人并保护保险业务。因此,业务旨在最大化社会福利而不是利润。鉴于自然风险可用的数据有限,通过风险模型估算了每个人的预期损失。为了评估保险公司的损失概况,已通过依赖R依赖性随机变量的HOFEFDING评估了被保险资产之间的空间相关性。尽管地震产生的预期损失几乎是洪水的六倍,但我们发现管理这两个危险所需的公共资金数量几乎是相同的。我们认为,这一结果取决于个人的风险规避和损失分布形状的结合。最后,由于地震和洪水不相关,我们测试了共同管理这两个危险是否可以抵消空间相关的负面影响。尽管政府不得不进一步注入资本的可能性可能是相当大的,但有些受益于风险多样化。我们的发现表明,如果不得到政府的支持,私人保险可能会在财务上过度张贴保险公司,或者设定溢价如此之高,以至于个人将无法购买保单。
This paper proposes a public-private insurance scheme for earthquakes and floods in Italy in which property-owners, the insurer and the government co-operate in risk financing. Our model departs from the existing literature by describing a public-private insurance intended to relieve the financial burden that natural events place on governments, while at the same time assisting individuals and protecting the insurance business. Hence, the business is aiming at maximizing social welfare rather than profits. Given the limited amount of data available on natural risks, expected losses per individual have been estimated through risk-modeling. In order to evaluate the insurer's loss profile, spatial correlation among insured assets has been evaluated by means of the Hoeffding bound for r-dependent random variables. Though earthquakes generate expected losses that are almost six times greater than floods, we found that the amount of public funds needed to manage the two perils is almost the same. We argue that this result is determined by a combination of the risk aversion of individuals and the shape of the loss distribution. Lastly, since earthquakes and floods are uncorrelated, we tested whether jointly managing the two perils can counteract the negative impact of spatial correlation. Some benefit from risk diversification emerged, though the probability of the government having to inject further capital might be considerable. Our findings suggest that, when not supported by the government, private insurance might either financially over-expose the insurer or set premiums so high that individuals would fail to purchase policies.