An interesting aspect of modeling securitization deals is that the model is less about forecasting a single “correct” outcome and more about understanding how cash flows move through the structure under different stresses.
Check out this single deal securitization model that I used as an example in the video below.
Unlike a simple loan model, a securitization model has to capture the interaction between collateral performance, payment timing, tranche priority, triggers, reserves, fees, and losses. Small changes in assumptions such as prepayments, defaults, recoveries, delinquency timing, interest rates, or trigger breaches can produce very different results for senior versus junior noteholders.
For example, two deals with the same expected collateral losses can behave very differently depending on whether losses arrive early or late. Early losses may trip performance triggers, redirect cash away from equity or subordinate tranches, and protect senior bonds. Late losses may allow excess spread to build or distributions to continue longer. That timing sensitivity is one of the reasons securitization modeling is both technical and judgment-heavy.
You can get a quote by me for custom financial modeling work here.
Also, check out more financial models I've built for the lending industry.
Article found in Lending.
