Abstract
A new bivariate Generalised Linear Model (GLM) is proposed for binary rare events, i.e. binary dependent variables with a very small number of
ones. In a bivariate GLM model we suggest the quantile function of the Generalised Extreme Value (GEV) distribution. In this way, the drawback
of the underestimation of the probability of the rare event in GLM models is overcome. The dependence between the response variables is modelled
by the copula function. We explore different copula functions that provide a rich and flexible class of structures to derive joint distributions for
bivariate binary data. Finally, we apply the proposed model to estimate the joint probability of defaults of UK and Italian small and medium
enterprises.
Lingua originale | English |
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Titolo della pubblicazione ospite | PROGRAMME AND ABSTRACTS 7th International Conference on Computational and Financial Econometrics (CFE 2013) and 6th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (ERCIM 2013) |
Pagine | 176 |
Numero di pagine | 1 |
Stato di pubblicazione | Pubblicato - 2013 |
Evento | 6th International Conference of the ERCIM WG on Computational and Methodological Statistics (ERCIM 2013) - London Durata: 14 dic 2013 → 16 feb 2014 |
Convegno
Convegno | 6th International Conference of the ERCIM WG on Computational and Methodological Statistics (ERCIM 2013) |
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Città | London |
Periodo | 14/12/13 → 16/2/14 |
Keywords
- copula
- generalized extreme value distribution