A Simple Representation of the Bera-Jarque-Lee Test for Probit Models
Joachim Wilde
IWH Discussion Papers,
No. 13,
2007
Abstract
The inference in probit models relies on the assumption of normality. However, tests of this assumption are not implemented in standard econometric software. Therefore, the paper presents a simple representation of the Bera-Jarque-Lee test, that does not require any matrix algebra. Furthermore, the representation is used to compare the Bera-Jarque- Lee test with the RESET-type test proposed by Papke and Wooldridge (1996).
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Measurement of Contagion in Banks' Equity Prices
Reint E. Gropp, G. Moerman
Journal of International Money and Finance,
No. 3,
2004
Abstract
This paper uses the co-incidence of extreme shocks to banks’ risk to examine within-country and across country contagion among large EU banks. Banks’ risk is measured by the first difference of weekly distances to default and abnormal returns. Using Monte Carlo simulations, the paper examines whether the observed frequency of large shocks experienced by two or more banks simultaneously is consistent with the assumption of a multivariate normal or a student t distribution. Further, the paper proposes a simple metric, which is used to identify contagion from one bank to another and identify “systemically important” banks in the EU.
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