Source
When this applies
when managing any form of risk exposure in a business — credit, operational, concentration
The takeaway
Don't eliminate risk — understand and price it correctly, and plan for outcomes worse than any historical precedent, because history shows extreme events recur.
Why it works
Being compensated adequately for risk taken, and stress-testing for outcomes worse than historical records, prevents the organization from being blindsided by events that 'have never happened before' but statistically will.
One level up
Optimize for survival across cycles, not peak profitability within one cycle.
Where it stops holding
This stops working when stress scenarios are calibrated too conservatively to ever bind, making the exercise theater rather than real risk management — or when competitors' risk-taking creates systemic effects beyond your control.
Detail
procedure:- Go through every loan on the books personally, mark down aggressively, increase reserves
- Demand higher revenue per dollar of risk taken (shift mix from net interest income to fee income)
- Stress test beyond the worst historical event ('fat tails'), not just regulatory-mandated scenarios
- Reduce balance sheet / hedge exposure ahead of anticipated downturns
benchmarks: {"bank_one_shift":"from 80% NII/20% other revenue per loan dollar to 40% NII/60% other revenue by JPMorgan merger","stress_test_example":"others assumed high-yield spread move of 40% as worst case (worst ever was 17%); in 2008 it hit 20% with no market to sell into"}
rationale: Markets have repeatedly produced 'four sigma' events across decades (1968, 1974, 1987, 1990, 2000, 2008) — extreme outcomes are the norm, not the exception, so risk management must assume they will recur.
In their words
I always look at what I call the fat tails and manage that we can handle all the fat tails and not the stress test the Fed gives us, but all the fats. Markets down 50%, interest rates up to 8%, credit spreads back to worst ever.