Taking fixed income, three levels of machine learning are applied to 1) identify jumps in time series; 2) cluster the jumps; and 3) propagate the jumps in the simulation. A key finding is that the common assumption of an underlying diffusion can be discarded.
Presented at RiskMinds, Boston MA, September 24th 2018.