Ferrari, Stijn and Pirovano, Mara (2015): Early warning indicators for banking crises: a conditional moments approach.
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This paper presents a novel methodology to calculate thresholds in an early warning signalling framework for extracting signals useful to predict the occurrence of banking crises. The conditional moments based methodology does not rely on assumptions on an objective function trading off Type I and Type II errors and leads to the identification of zones corresponding to different intensities of the signal. The signalling performance of these signalling zones is similar to that of the traditional early warning method based on the optimisation of a policymaker’s loss function; our methodology in fact outperforms the latter for a number of indicators. The methodology is then extended to allow for country specificities, which leads to a substantial improvement of the signalling power. On average, across all indicators, the country-specific signalling zones outperform the pooled approach, resulting in a larger average true positive rate and a lower false alarms rate.
|Item Type:||MPRA Paper|
|Original Title:||Early warning indicators for banking crises: a conditional moments approach|
|Keywords:||Early-warning indicators; banking crises; panel data; macro prudential policy|
|Subjects:||C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models
E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies
G - Financial Economics > G0 - General > G01 - Financial Crises
|Depositing User:||Ms Mara Pirovano|
|Date Deposited:||02. Mar 2015 15:03|
|Last Modified:||02. Mar 2015 16:02|
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