Towards Socially Responsible (Re)Insurance Underwriting Practices: Readily Available ‘Big Data’ Contributions to Optimize Catastrophe Risk Management

Ivelin M. Zvezdov, S. Rath
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引用次数: 1

Abstract

Today's advances in big data technologies readily allow for storing large inter-dependent data sets of historical and modeled natural hazard and financial data and unifying their granularity and accuracy with common geo-spatial and risk-type record identifiers. This is a significant component at both single insurance account, and even more so at the larger multi-policy portfolio scale for enabling optimal and socially responsible insurance underwriting practices. This supports insurance risk transfers by creating more accurate and all-uncertainty encompassing pricing techniques, and exposes these techniques and methodologies to all market players, including insurance policy holders via transparent statistical and actuarial principles.
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对社会负责的(再)保险承保实践:随时可用的“大数据”对优化巨灾风险管理的贡献
如今,大数据技术的进步使存储历史和建模自然灾害和金融数据的大型相互依赖数据集成为可能,并将其粒度和准确性与常见的地理空间和风险类型记录标识符统一起来。这是单个保险账户的重要组成部分,在更大的多保单投资组合规模上更是如此,以实现最优和对社会负责的保险承保实践。这通过创建更准确和完全不确定的定价技术来支持保险风险转移,并通过透明的统计和精算原则将这些技术和方法暴露给所有市场参与者,包括保单持有人。
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