Francesca Vogliotti
Modeling Credit Default: A Portfolio-Based Comparison of CreditMetrics and CreditRisk.
Rel. Patrizia Semeraro. Politecnico di Torino, Master of science program in Mathematical Engineering, 2023
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Abstract
Credit risk is the possibility of losing a lender holds, due to a risk of default on a debt that may arise from a borrower failing to make required payments. The modelling of this risk is an indispensable tool utilized by financial institutions worldwide - including banks, insurance companies and investment firms - to effectively measure, control and manage the risk associated with lending. The sphere of credit risk though is by no means confined to just loans or borrowed money; it extends to other areas of financial transactions, including bonds, derivatives, and other financial products. For this reason, this element of risk has triggered a wave of interest from various stakeholders ranging from academia to industry players, regulators and policy makers.
The objective of this thesis is to evaluate and compare the credit risk modelling methods of CreditMetrics and CreditRisk+
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