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Catastrophe forecasting: seeing "gray" among the "black boxes"

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Purpose ? The purpose of this paper is to consider the problem of using "black-box" methods to forecast catastrophe events, and illustrate the value of independent peer review. Design/methodology/approach ? The problem with black-box catastrophe forecasts is the absence of both extensive validation data and impartial peer review. These issues may be addressed by comparing black-box forecasts with a set of na´ve alternative forecasts provided by an independent party. To illustrate this approach, the historical hurricane forecasts of Dr William M. Gray, professor at Colorado State University, are considered and a simple ARIMA analysis is offered as a na´ve alternative. Findings ? The analysis shows that Dr Gray's complex forecasting methodology does in fact provide reasonable forecasts, and may indeed offer value beyond a na´ve alternative model. Originality/value ? The editorial identifies a major problem in catastrophe forecasting, and suggests one way to address this problem.

Keywords: Data analysis; Forecasting; Peer review

Document Type: Research Article


Publication date: 2006-10-01

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