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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.



Item Type: MPRA Paper -

Original Title: Towards socially responsible reinsurance underwriting practices: readily available ‘big data’ contributions to optimize catastrophe risk management-

Language: English-

Keywords: Big Data, ReInsurance Premium Pricing, Sustainable ReInsurance Principles-

Subjects: D - Microeconomics > D0 - GeneralD - Microeconomics > D0 - General > D01 - Microeconomic Behavior: Underlying PrinciplesG - Financial Economics > G0 - GeneralO - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property RightsO - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O30 - General-





Autor: Zvezdov, Ivelin

Fuente: https://mpra.ub.uni-muenchen.de/75312/







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