
Explanation:
The correct answer is D because:
Ho-Lee model is an additive model where the drift terms are additive. In the Ho-Lee model, the short rate follows an arithmetic Brownian motion process with additive drift.
Lognormal model (such as Black-Karasinski or Black-Derman-Toy models) has multiplicative drift terms. In lognormal models, the short rate follows a geometric Brownian motion process where the drift term multiplies the current level of the rate.
This fundamental difference affects how interest rates evolve and the properties of the resulting term structure models.
Ultimate access to all questions.
No comments yet.
Which of the following statements best characterizes the differences between the Ho-Lee model with drift and the lognormal model with drift?
A
In the Ho-Lee model and the lognormal model the drift terms are multiplicative.
B
In the Ho-Lee model and the lognormal model the drift terms are additive
C
In the Ho-Lee model the drift terms are multiplicative, but in the lognormal model the drift terms are additive
D
In the Ho-Lee model the drift terms are additive, but in the lognormal model the drift terms are multiplicative.