Datasets for Credit Risk Modeling

This tutorial outlines several free publicly available datasets which can be used for credit risk modeling. In banking world, credit risk is a critical business vertical which makes sure that bank has sufficient capital to protect depositors from credit, market and operational risks. During the process, its role is to work for bank in compliance to central bank regulations. Important Credit Risk Modeling Projects

1. Probability of Default (PD) tells us the likelihood that a borrower will default on the debt (loan or credit card). In simple words, it returns the expected probability of customers fail to repay the loan.
2. Loss Given Default (LGD) is a proportion of the total exposure when borrower defaults. It is calculated by (1 - Recovery Rate). For example someone takes $200,000 loan from bank for purchase of flat. He/She paid some installments before he stopped paying installments further. When he defaults, loan has an outstanding balance of $100,000. Bank took possession of flat and was able to

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