Assessing the historical role of credit: Business cycles, financial crises and the legacy of Charles S. Peirce
Oscar Jorda ()
International Journal of Forecasting, 2014, vol. 30, issue 3, 729-740
This paper provides a historical overview of financial crises and their origins. The objective is to discuss a few of the modern statistical methods that can be used to evaluate predictors of these rare events. The problem involves the prediction of binary events, and therefore fits modern statistical learning, signal processing theory, and classification methods. The discussion also emphasizes the need for statistics and computational techniques to be supplemented with economics. The success of a forecast in this environment hinges on the economic consequences of the actions taken as a result of the forecast, rather than on typical statistical metrics of prediction accuracy.
Keywords: Correct classification frontier; Area under the curve; Financial crisis; Kolmogorov–Smirnov statistic (search for similar items in EconPapers)
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Working Paper: Assessing the Historical Role of Credit: Business Cycles, Financial Crises, and the Legacy of Charles S. Peirce (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:30:y:2014:i:3:p:729-740
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