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I analyze damage from hurricane strikes on the United States since 1955. Using machine learning methods to select the most important drivers for damage, I show that large errors in a hurricane's predicted landfall location result in higher damage. This relationship holds across a wide range of...
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The paper deals with maritime risk, which we consider important, no doubt, for ship-owners acting in volatile markets …. Traditionally, risk is measured by "standard deviation". Other risk measures like "excess kurtosis", "excess skewness", "long …-term dependence" and the "catastrophe propensity" were ignored. Risk in 1900 was based on the mathematical laws of Chance and …
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disaster.” However these assessments are based on different methodologies and approaches, and they often reach different … results. Besides methodological differences, these discrepancies are due to the multi-dimensionality in disaster impacts and … disaster, and emphasizes the most important mechanisms that explain and determine this cost. It does so by first explaining why …
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