Analyzing a Bank Loan Portfolio - Credit Risk

Overview


Credit Risk is a critical risk that needs to managed for most banks.

This example analyzes a hypothetical bank's credit risk and proceeds through the following steps.

  • Portfolio Data - sets up a hypothetical set of banks assets
  • Monthly Default Snapshot Data - examines a monthly snapshot dataset that tracks the defaults of the banks assets.
  • Default Rates - measures an average default rate of the banks portfolio
  • Statistical Inference - uses the techniques of statistical inference to compute a standard error for the measured default rate
  • Factors - tries to measure the influence of various factors on the default rate of the banks loans.
  • Correlations - measures the correlations of the banks assets.
  • Economic Capital - utilizes the measured risk measures to come up with a value at risk measure of economic capital

Video Demos


Video Demo
A full copy of the desktop used in this example can be found here:

full desktop

First Step


The first step is to obtain data about the bank loan portfolio