sensitivity-stress-test

A sensitivity test in real estate underwriting measures how changes in key inputs affect levered IRR. It uses tornado charts and sensitivity grids to rank variable impacts, helping you identify which factors pose the greatest risk to deal returns.

A tornado chart ranks CRE investment risks by visualizing the sensitivity of levered IRR to individual input variables. It displays variables sorted by impact magnitude, allowing you to quickly identify which assumptions drive the most significant changes in deal performance.

Yes, you can use a Monte Carlo framework for multifamily real estate tail risk analysis. It quantifies probabilistic outcomes by running numerous scenario iterations, generating scenario narratives that show the likelihood and impact of extreme negative returns on the asset.

The best way to test lender covenant risk is through dedicated stress tests and cascade analysis. This approach diagnoses covenant vulnerabilities by applying adverse scenarios to the base underwriting, revealing capital needs and the exact cushion remaining before a breach occurs.

You calculate breakeven points for a multifamily underwriting package by applying sensitivity testing to the base model. This shifts individual variables until the levered IRR hits zero, defining the exact threshold where operating performance fails to meet return requirements.

Yes, stress testing a CRE deal requires a fully completed base underwriting model as the starting point. The analysis translates existing base-case assumptions into risk frameworks, meaning accurate inputs for multifamily assets are necessary to generate reliable covenant and sensitivity outputs.