Publicação
Credit risk of financial institutions
| Resumo: | Although there is substantial literature on credit risk, studies often do not consider financial institutions. However, considering that several entities are exposed to these institutions, namely through the counterparty role that they play, it is of major relevance the accurate assessment of its credit risk. As such, this study aims at analysing three different models to measure credit risk of financial institutions and conclude which one best predicts credit rating downgrades. The three models studied comprise a credit scoring model; a naïve approach of the Merton (1974) Model; and CDS spreads. The results show that all three models are statistically significant to predict credit rating downgrades of financial institutions, though the latter two prove to better and more timely anticipate downgrades than the credit scoring model. |
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| Autores principais: | Martins, Joana Sofia Luís |
| Assunto: | Credit risk Probability of default Credit rating Financial institutions |
| Ano: | 2014 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | Although there is substantial literature on credit risk, studies often do not consider financial institutions. However, considering that several entities are exposed to these institutions, namely through the counterparty role that they play, it is of major relevance the accurate assessment of its credit risk. As such, this study aims at analysing three different models to measure credit risk of financial institutions and conclude which one best predicts credit rating downgrades. The three models studied comprise a credit scoring model; a naïve approach of the Merton (1974) Model; and CDS spreads. The results show that all three models are statistically significant to predict credit rating downgrades of financial institutions, though the latter two prove to better and more timely anticipate downgrades than the credit scoring model. |
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