A cap on the 3-month SOFR rate struck at 5% is priced very differently depending on whether you model the rate as normally distributed (Vasicek/Ho-Lee) or lognormally distributed. Normal models allow negative rates and assign a Gaussian distribution to the terminal short rate; lognormal models guarantee positive rates and assign a log-normal distribution — the same distinction as between Black-Scholes on the stock price versus on the log of the stock price. This distributional choice directly affects the skew of option payoffs: a deeply out-of-the-money floor has a much higher probability under a lognormal model than under a normal one at the same mean and variance. This lesson builds the lognormal short-rate models from the ground up — starting with the Dothan model's constant yield volatility, through the Salomon Brothers and Black-Derman-Toy trees that calibrate to the yield curve, to the Black-Karasinski model that combines lognormal rates with mean reversion.
Learning objectives. By the end of this note you should be able to:
- distinguish basis-point volatility from yield volatility and state which grows with the rate level in each model class;
- write down the Dothan SDE, integrate it explicitly, and identify its lognormal distribution;
- state why lognormal models have an exploding money-market account and why this is less severe in discrete trees;
- construct the Salomon Brothers lognormal tree in space and convert it to the rate tree;
- explain how BDT uses time-dependent volatility to calibrate to the cap vol term structure;
- articulate the Black-Karasinski model's key advantage (separate control of mean reversion and vol term structure) and cost (non-recombining tree without variable time steps).
In this lesson
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- Volatility as a function of rate level
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- The Dothan model
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- The Salomon Brothers lognormal tree
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- Black-Derman-Toy (BDT)
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- The lognormal explosion problem
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- Summary: the short-rate model landscape
Before you start
- Normally Distributed Rates and the Ho-Lee Model: Time-Dependent Drift
- The CIR Model: Square-Root Diffusion, Feller Condition, and Non-Negative Rates
The full lesson, with worked examples and exercise solutions, is for members.
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