Doctoral thesis

Statistical analysis for credit risk modelling

    03.12.2008

98 p

Thèse de doctorat: Università della Svizzera italiana, 2008 (jury note: magna cum laude)

English The main purpose of the thesis is the prediction of default events for small and medium size companies, by developing useful techniques able to cope with some issues related to anomalies often present in this kind of data, such as rare events and aberrant observations. To treat rare events the Bayesian paradigm is used through Markov Chain Monte Carlo techniques, also adopting the zero variance principle to reduce the variance of MCMC estimators. To deal with extreme observations the weighted likelihood approach is used in the context of logistic regression.
Language
  • English
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Economics
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https://susi.usi.ch/usi/documents/318133
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