Testing for shifting risk parameters - correlations test
- compute correlation between the results for all risks for pairs of years
- take average correlation with a given difference in time
- examine how the average correlation depends of this time difference
- correlation decreases over time, which wouldn't be the case if parameters were stable
- however it's high for small time difference, suggesting there’s value to using recent experience to predict the future.