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An Optimal Early Warning System for Currency Crises Under Model Uncertainty

Mamdouh Mohamed, Hany Abdel-Latif, Hany Mohamed

SSRN Electronic Journal

Swansea University Author: Hany Mohamed

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DOI (Published version): 10.2139/ssrn.3428016

Abstract

This paper assesses several early warning (EWS) models of financial crises to propose a model that can predict the incidence of a currency crisis in developing countries. For this purpose, we employ the dynamic model averaging (DMA), and equal weighting (EW) approaches to combine forecast from indiv...

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Published in: SSRN Electronic Journal
ISSN: 1556-5068
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa51894
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Abstract: This paper assesses several early warning (EWS) models of financial crises to propose a model that can predict the incidence of a currency crisis in developing countries. For this purpose, we employ the dynamic model averaging (DMA), and equal weighting (EW) approaches to combine forecast from individual models allowing for time-varying weights. Taking Egypt as a case study and focusing only on currency crises, our findings show that combined forecast (DMA- and EW-based EWS) to account for uncertainty perform better than other competing models in both in-sample and out-of-sample forecasts.
Keywords: Financial Crises, Currency Crises, Early Warning, Uncertainty, Egypt
College: Faculty of Humanities and Social Sciences