FRM Part II · FRM Exam Part II · The Art of Term Structure Models: Drift
In a lognormal short-rate model, dr = a·r·dt + σ·r·dw, with a = 3% and σ = 20%, what is the drift of ln(r) per year, after applying Ito's lemma?
By Ito's lemma the drift of ln(r) is a minus half of σ squared. This gives 3% − (0.20² / 2) = 3% − 2% = 1% per year. Using 3% ignores the convexity correction, and adding the correction instead would wrongly give 5%.
- A1%Correct
- B3%
- C5%
- D−1%
Explanation
By Ito's lemma, d ln r = (a − σ²/2)dt + σ dw. Here σ²/2 = 0.04/2 = 0.02, so the drift is 0.03 − 0.02 = 0.01, or 1%. Using 3% ignores the Ito correction, and 5% adds the correction instead of subtracting it.
Did you get it right without looking?
One question tells you little. A timed set on The Art of Term Structure Models: Drift shows your real accuracy, how long you take and where you lose marks.
More The Art of Term Structure Models: Drift questions
- A desk calibrates a Ho-Lee model to an upward-sloping forward curve and then notes that simulated short rates in the model sometimes become …
- A risk analyst reviews the Ho-Lee model, in which the short rate follows dr = λ(t)dt + σdw. Which statement best describes the role of the t…
- In Model 1 with r_0 = 3.00% and σ = 80 bps per year, a risk manager wants the 5%-tail (one-sided) short-rate level in 1 year, using a z-valu…
- A trader calibrates a constant-drift model to the market and obtains a positive λ, because the yield curve slopes upward. The trader conclud…
- Under Model 1 with zero drift and σ = 100 bp per year, the current short rate is 3.00%. Using a monthly-step tree with normal shocks, what i…
- In a Model 2 setting, a trader observes that the market 10-year spot rate is below the model's value computed with the historical (real-worl…