1. Dynamic forecasting of banking crises with a Qual VAR
- Author
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Emile du Plessis
- Subjects
Qual VAR ,Markov Chain Monte Carlo ,latent variable ,banking crises ,leading indicators ,forecasting ,Economic growth, development, planning ,HD72-88 ,Economic history and conditions ,HC10-1085 - Abstract
This paper applies a Qual VAR approach to generate a continuous banking crisis indicator from an underlying latent variable using a Markov Chain Monte Carlo algorithm. Four decades of banking crises are assessed by accounting for the evolutionary nature of precursors, as measured through periodic, regional, and developmental effects using a representative sample of countries. Aggregate results from forecast error variance decomposition show that banking sector variables explain nearly half of total variation, external sector a third and real sector a fifth. Findings suggest that recursive out-of-sample forecasts up to 12-months preceding a banking crisis render vital early warning signals, and as based on quarterly data, support expeditious response times. In out-of-sample forecasting, the Qual VAR outperforms a probit model. Improved forecasting performance may assist banking oversight departments and support remediation efforts of policymakers to adequately and timeously respond to banking crises.
- Published
- 2022
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