Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jimonfin.2006.08.001
Title: A Cardan's discriminant approach to predicting currency crashes
Authors: Koh, S.K.
Fong, W.M. 
Chan, F.
Keywords: Cardan's discriminant
Currency crashes
Emerging markets
Generalized normal model
Multimodality
Issue Date: 2007
Source: Koh, S.K., Fong, W.M., Chan, F. (2007). A Cardan's discriminant approach to predicting currency crashes. Journal of International Money and Finance 26 (1) : 131-148. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jimonfin.2006.08.001
Abstract: This paper models large swings in exchange rates by introducing nonlinearity via the generalized normal (GEN) distribution [Lye, J.N., Martin, V.L., 1993. Robust estimation, nonnormalities and generalized exponential distributions. Journal of the American Statistical Association 88, 261-267]. As the distribution allows for bimodality, a switch between modes may give rise to currency crashes. A statistic known as Cardan's discriminant, based on the shape parameters of the GEN, is used to detect bimodality. The Cardan's discriminant is found to reliably predict currency crashes for eight emerging countries and generate relatively low false signals for stable currencies. © 2006 Elsevier Ltd. All rights reserved.
Source Title: Journal of International Money and Finance
URI: http://scholarbank.nus.edu.sg/handle/10635/44473
ISSN: 02615606
DOI: 10.1016/j.jimonfin.2006.08.001
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