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Deriving Constant Drift and Volatility in an Exponential HJM Model

Article Quant Q&A · Author: Michal

Summary

The document works through an HJM consistency question for a forward rate modeled as an exponential function of time to maturity times a scalar diffusion, plus a deterministic term. Applying Itô’s formula gives the forward-rate diffusion and drift. The HJM condition then ties the drift to the volatility loading integrated over maturities, yielding an identity involving the state-dependent drift, diffusion coefficient, and the deterministic function.

Setting time to maturity to zero identifies the drift as linear in the state, with slope given by the exponential parameter and intercept from the derivative of the deterministic term. The accepted answer addresses the remaining step: the resulting identity must hold for every maturity, so differentiating it with respect to time to maturity and evaluating at zero shows that the squared diffusion coefficient is constant. That constant is expressed using the first two derivatives of the deterministic term at zero. The argument is conditional on the stated model and HJM assumptions; the discussion also flags that equating a formula at one maturity alone does not establish constancy.

Key ideas

  • Itô’s formula gives the forward-rate drift and diffusion implied by the proposed state process.
  • The HJM drift restriction equates that drift with the volatility loading integrated across maturities.
  • Evaluating the resulting identity at zero time to maturity identifies a linear state drift.
  • Differentiating the identity in time to maturity and evaluating at zero establishes constant squared volatility.
  • A single rearranged expression for squared volatility does not by itself prove that it is constant.

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Full text
# HJM framework problem - showing that HJM drift condition implies that $b(z)=b+βz$ and $(ρ)^2=α$


# HJM framework problem - showing that HJM drift condition implies that $b(z)=b+βz$ and $(ρ)^2=α$












Hi I am looking for some general clarification to Heath–Jarrow–Morton framework. I am analyzing a problem where the forward rate is modeled as $$ f(t,T)=e^{\beta(T-t)} Z_t+h(T-t) \tag{1}$$ for some constant $\beta$ and some smooth function $h:R \rightarrow \ R \ with \quad h(0)=0$ and some scalar diffusion $$dZt=b(Z_t)dt+\rho dW_t^* \tag{2}$$ with continuous drift and functions $b(z)$ and $\rho(z)$.

To show that HJM drift condition implies that $\ \mathbf{b(z)=b+\beta z} \ $ and $\ \mathbf{(\rho)^2=\alpha} \ $ for some constant b and $\alpha$

Q1 Can anybody explain in simple terms what this above statement mean? what needs to be showed/proved? I am confused here what is the relation between the variables given in the equations (1) and (2) with those $\alpha$ and b.

There is the analyzes I have done on this problem. I understand the most of the transformations, but some points are unclear.

Taking the derivative of $f(t,T)$ in order to get $df(t,T)$ and substituting for $dz_t$ I get $$df(t,T)=\big{(} -h'(T-t)+e^{\beta(T-t)}(b(z_t)-\beta z) \big{)} \ dt+e^{\beta(T-t)} \rho(z_t) dW_t^* \tag{3} $$ the Q-dynamics of the forward rates in HJM framework are of the form $$f(t,T)=f(0,T) + \int_0^t \big{(} \sigma(s,T) \int_s^T \sigma(s,u) \ du \big{)} \ ds + \int_0^t \sigma(s,T) dW_t^* \tag{4}$$ or equivalently $$ df(t,T)= \sigma(t,T) \int_t^T \sigma(t,u) \ du + \sigma(s,T) dW_t^*\tag{5}$$ therefore the HJM drift equals $$e^{\beta(T-t)} \rho(z_t) \int_t^T e^{\beta(u-t)} \rho(z_t) \ du =\rho(z_t)^2 e^{\beta(T-t)} \frac{ e^{-\beta t}}{\beta} (e^{\beta T} - e^{\beta t}) \tag{6}$$ equating HJM drift with drift from eq (3) and substituting for $\tau=T-t$ yields the following equity $$ \frac{\rho(z_t)^2}{\beta} e^{\beta \tau} (e^{\beta \tau} - 1) = -h'(\tau)+e^{\beta \tau}(b(z_t)-\beta z) \tag{7}$$ assuming $\tau=0$ results in $$ b(z)=h'(0)+\beta z \tag{8}$$ comparing with the given equation $$b(z)=b+ \beta z \tag{9}$$ we can infer that $b=h'(0)$ finally plugging $b(z)$ (8) into (7) gives the $alpha$ value $$\rho^2= \frac{\beta(e^{\beta \tau} h'(0)- h'(t))}{e^{\beta \tau}(e^{\beta \tau}-1)} \tag{10}$$ $$\alpha=\rho^2$$

Further questions to this problem b and $\alpha$ have been derived from the drift condition. I don't understand in what sense does it prove the initial question? Does it implicitly mean that the RHS of (10) is a constant? what is the relation between the HJM drift and the coefficient of $dW_t^ *$ in (3)?

## Answer by Gordon (score 4, accepted)

https://quant.stackexchange.com/a/25916

You almost get there. However, you ca not conclude that $\rho^2$ is a constant based on $(10)$. Note that, from your $(7)$ and $(8)$, \begin{align*} \frac{\rho(z_t)^2}{\beta} e^{\beta \tau} (e^{\beta \tau} - 1) = -h'(\tau)+e^{\beta \tau}h'(0). \end{align*} Taking derivative with respect to $\tau$ on both sides, we obtain that \begin{align*} \frac{\rho(z_t)^2}{\beta} \left(2\beta e^{2\beta \tau} -\beta e^{\beta \tau}\right) = -h''(\tau)+\beta e^{\beta \tau}h'(0). \end{align*} Then, setting $\tau=0$, \begin{align*} \rho(z_t)^2 = -h''(0)+\beta h'(0). \end{align*} That is, $\rho(z_t)^2=\alpha$ is a constant, where $\alpha = -h''(0)+\beta h'(0)$.

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