Under Q, dSt/St=rtdt+σdWtS, drt=κ(θ−rt)dt+ηdWtr, d⟨WS,Wr⟩t=ρdt.
(a) Show that IT=∫0Trsds is Gaussian with Var(IT)=η2∫0TB(s,T)2ds, where B(s,T)=(1−e−κ(T−s))/κ, and that Cov(WTS,IT)=ρη∫0TB(s,T)ds.
(b) Using Prop. 7.6, show that F0/G0=exp(Cov(lnST,IT))=exp(η2I2+ρσηI1) with I1=∫0TBds and I2=∫0TB2ds.
(c) Derive the closed forms I1=(T−B0)/κ and I2=(T−2B0+(1−e−2κT)/(2κ))/κ2, with B0=B(0,T).
(d) Evaluate F0/G0−1 for (i) σ=0.15, κ=0.3, η=0.01, ρ=0.3, T=0.25, and (ii) σ=0.25, κ=0.3, η=0.02, ρ=±0.9, T=2. Express (i) in Nifty points at 24,700 and compare it with the day-to-day noise in the end-of-day Nifty basis (7.3, 7.8.2).