FRM Part II · FRM Exam Part II · The Art of Term Structure Models: Volatility and Distribution
In Model 1 (the normal model with constant volatility) of Tuckman's term structure treatment, the short-term rate follows dr = λ dt + σ dw. Which statement about the distribution of the rate change over a horizon is correct?
Under Model 1 the rate change is normally distributed with variance σ²T, so it is unbounded below and negative rates have positive probability. Lognormal or level-dependent volatility belongs to other models, and variance grows rather than shrinks with the horizon.
- AThe change in the rate is normally distributed, so negative rates have positive probabilityCorrect
- BThe change in the rate is lognormally distributed, so rates cannot become negative
- CThe change in the rate is normal with variance that falls as the horizon lengthens
- DThe change in the rate is normal with a variance proportional to the current rate level
Explanation
With constant σ and drift λ, r over horizon T is normal with mean r0+λT and variance σ²T. Because a normal variable has unbounded support, negative rates are possible. Lognormality and level-dependent variance belong to other models, and variance grows with T, not falls.
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