Exponential Vaek (1977) model (1). Consider a Vasicek process (left(r_{t}ight)_{t in mathbb{R}_{+}}) solving of the stochastic differential
Question:
Exponential Vašíček (1977) model (1). Consider a Vasicek process \(\left(r_{t}ight)_{t \in \mathbb{R}_{+}}\) solving of the stochastic differential equation
\[d r_{t}=\left(a-b r_{t}ight) d t+\sigma d B_{t}, \quad t \geqslant 0\]
where \(\left(B_{t}ight)_{t \in \mathbb{R}_{+}}\)is a standard Brownian motion and \(\sigma,
a, b>0\) are positive constants. Show that the exponential \(X_{t}:=\mathrm{e}^{r_{t}}\) satisfies a stochastic differential equation of the form
\[
d X_{t}=X_{t}\left(\widetilde{a}-\widetilde{b} f\left(X_{t}ight)ight) d t+\sigma g\left(X_{t}ight) d B_{t}
\]
where the coefficients \(\widetilde{a}\) and \(\widetilde{b}\) and the functions \(f(x)\) and \(g(x)\) are to be determined.
Step by Step Answer:
CoxIngersollRoss CIR model a We have beginequation rtr0int0tleftalphabeta rsight d ssigma int0t sqrtrs d Bs quad t geq 0 tagS414 endequation b Taking expectations on both sides of S414 and using the f...View the full answer
Introduction To Stochastic Finance With Market Examples
ISBN: 9781032288277
2nd Edition
Authors: Nicolas Privault
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