Why Exponential Vasicek Rates Do Not Give an Affine Bond Price
Summary
The document asks whether a short-rate model formed by exponentiating a Vasicek Gaussian process produces an affine term structure, where zero-coupon bond prices have an exponential-affine form in the current short rate. The accepted response derives the bond-pricing equation for the transformed rate and supposes that an affine price representation holds. Substituting that form into the pricing equation yields terms involving exponentials of the underlying state, including a state-times-exponential term and a squared exponential.
Because these functions are linearly independent over the state space, their coefficients cannot generally all vanish for positive mean-reversion and volatility parameters. The response concludes that the exponential Vasicek model is not affine in general, with a separate deterministic limiting argument illustrating the issue. This is a model-structure result, not a numerical pricing comparison. The derivation relies on the stated risk-neutral dynamics and affine-price definition; exceptional degenerate parameter cases do not establish affinity for the general stochastic model.
Key ideas
- An affine term structure requires bond prices to be exponential-affine in the current short rate.
- Exponentiating a Vasicek state creates nonlinear terms in the bond-pricing equation.
- Linear independence of the resulting state functions prevents their coefficients from vanishing in the general stochastic case.
- The document concludes that exponential Vasicek rates do not generally produce an affine term structure.
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# How to show that the exponential Vasicek model is not an affine term-structure model?
# How to show that the exponential Vasicek model is not an affine term-structure model?
From the pricing formula, we know that the value at time $t\in [0,T]$ of a zero coupon bond maturing at time $T$ is $$ B(t,T)=E\left(\exp{\left(-\int_{t}^{T}r_sds\right)}\bigg|\mathcal{F}_t\right). $$ Moreover, we say that $B(t,T)$ has an affine term-structure, if $$ B(t,T)=\exp{\left(A(t,T)-C(t,T)r_t\right)}\;\;\ \text{for} \;\;\ t\in[0,T], $$ where $A$ and $C$ are deterministic functions.
My question is the following :
For exponential Vasicek model defined by $$ r_t=\exp{(X_t)}\;\;\ \text{with}\;\;\ dX_t=k(\theta-X_t)dt+\sigma dW_t, $$ where k, $\theta$, $\sigma>0$ and $W$ is a Brownian motion under the risk-neutral measure.
How to show that this model is not an affine term-structure model?
## Answer by Hans (score 2, accepted)
https://quant.stackexchange.com/a/25814
Here is a general proof for all parameters in an open domain.
$$dr = adt+bdW:=r\big(k(\theta-x)+\frac12\sigma^2\big)dt+\sigma rdW.$$ Let $$u(r(s),s):=e^{-\int_t^sr}B(r(s),s,T)=:\phi(s) B.$$ Then $$u(r(t),t)=\mathbf E\big[u(r(s),s)\big|r(t)\big],\, \forall t<s. \tag{1}$$ So, by Ito's Lemma, \begin{align} du(r(s),s) &= Bd\phi +\phi dB \\ &= \phi \bigg(-rB+\frac{\partial B}{\partial s}ds+\frac{\partial B}{\partial r}dr+\frac12\frac{\partial^2 B}{\partial r^2}(dr)^2\bigg) \\ &= \phi \bigg[\bigg(-rB+\frac{\partial B}{\partial s}+\frac{\partial B}{\partial r}a+\frac12\frac{\partial^2 B}{\partial r^2}b^2\bigg)ds+\frac{\partial B}{\partial r}bdW\bigg] \\ &=: \phi\,(fds+gdW_s). \end{align} We see from Eq. (1) $\mathbf E\big[u(r(s),s)\big|r(t)\big]$ is constant with respect to $s$. So $$0=\frac{d\mathbf E\big[u(r(s),s)\big|r(t)\big]}{ds}\bigg|_{s=t}=f(r(t),t) \tag{2}$$ by Equation (1).
Suppose $B$ is affine. Substitute into $\frac{f}{B}$ the affine expression for $B(r,t,T)$ and the expression of $a$ and $b$, we have by Equation (2) $$A'-\Big(C'+\Big(k\theta+\frac{\sigma^2}2\Big)C-1\Big)e^{X_t}+kCX_te^{X_t}+\frac{(\sigma C)^2}{2}e^{2X_t}=0,\quad\forall X_t\in R,$$ where $'$ denotes partial derivative with respect to $t$ (denoting the first variable). By taking derivatives with respect to $X_t$ or Taylor expanding $e^{X_t}$, we see $(1,e^{X_t},X_te^{X_t},e^{2X_t})$ is linearly independent. So all factors in front of those terms vanish. This is possible only when $k=\sigma=0,\,C(t,s)=s-t$ and $A(t,s)=0$.
## Answer by Hans (score 1)
https://quant.stackexchange.com/a/25811
We shall prove this by contradiction. Let $\theta=0$ and $\sigma=0$. $X_t=X_0e^{-kt}$ and $$B(0,t)=\exp\Big(-\int_0^te^{X_0e^{-ks}}ds\Big).$$ Suppose the contrary that $B(0,t)$ is affine. We should have $$ B(0,t)=\exp{\left(A(0,t)-C(0,t)e^{X_0}\right)}\;\;\ \forall (t,X_0), \tag{1} $$ Differentiate the logarithm of Equation (1) with respect to $t$ side, $$e^{X_0e^{-kt}}=C'(0,t)e^{X_0}.$$ Take logarithm of the above equation, we get $$(1-e^{-kt})X_0=-\ln C'(0,t),\quad \forall X_0$$ which is only possible for $k=0$. Therefore, this model is not affine in general.
Alternatively and more generally, one can write out either the PDE or SPDE for both expressions and compare the coefficients of similar differential terms.Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.