Abstract

http://ssrn.com/abstract=1923008
 
 

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Statistical Review of Nuclear Power Accidents


Marius Hofert


ETH Zurich, RiskLab, Department of Mathematics

Mario V. Wuthrich


RiskLab, ETH Zurich; Swiss Finance Institute; University College London; City University London

September 8, 2011


Abstract:     
Statistical analysis provides a risk assessment of nuclear safety based on historical data. We use classical probabilistic models from risk theory to analyze data on nuclear power accidents from 1952 to 2011. Findings are that the severities of nuclear power accidents should be modeled with an in finite mean model and, thus, cannot be insured by an unlimited cover.

Number of Pages in PDF File: 13

Keywords: nuclear safety, nuclear power accidents, risk managment, Fukushima, extremes, extreme value theory, Pareto distribution, Hill plot, peaks-over-threshold

JEL Classification: C13, C10, Q40, G22

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Date posted: September 6, 2011 ; Last revised: July 4, 2012

Suggested Citation

Hofert, Marius and Wuthrich, Mario V., Statistical Review of Nuclear Power Accidents (September 8, 2011). Available at SSRN: http://ssrn.com/abstract=1923008 or http://dx.doi.org/10.2139/ssrn.1923008

Contact Information

Marius Hofert
ETH Zurich, RiskLab, Department of Mathematics ( email )
Rämistrasse 101
Zurich, 8092
Switzerland
Mario V. Wuthrich (Contact Author)
RiskLab, ETH Zurich ( email )
Department of Mathematics
Ramistrasse 101
Zurich, 8092
Switzerland
Swiss Finance Institute
University College London
Department of Statistical Science
City University London
Cass Business School
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