Markets: A Rigorous Course

Summary of key results

Foundation about 10 min
Result Formula
Close-to-close variance, s.e. σ^CC2\hat\sigma^2_{CC} (9.1); Var⁡(r2)=2σ4\operatorname{Var}(r^2)=2\sigma^4
Brownian range moments ERp=4E∣Z∣pη(p−1)(σT)pE R^p=4E\lvert Z\rvert^p\eta(p-1)(\sigma\sqrt T)^p; ER2=4ln⁡2 σ2TE R^2=4\ln2\,\sigma^2T, ER4=9ζ(3)σ4T2E R^4=9\zeta(3)\sigma^4T^2
Parkinson (ln⁡H/L)2/(4ln⁡2)(\ln H/L)^2/(4\ln2); efficiency 4.91
Garman–Klass 12(ln⁡H/L)2−(2ln⁡2−1)(ln⁡C/O)2\tfrac12(\ln H/L)^2-(2\ln2-1)(\ln C/O)^2; ≈ 7.4
Rogers–Satchell u(u−c)+d(d−c)u(u-c)+d(d-c); drift-robust
Yang–Zhang VO+kVC+(1−k)VRSV_O+kV_C+(1-k)V_{RS}, k=0.34/(1.34+n+1n−1)k=0.34/(1.34+\frac{n+1}{n-1})
Hedged P&L (long) d(e−rtX)=12e−rtΓiS2(σt2−σi2)dtd(e^{-rt}X)=\tfrac12e^{-rt}\Gamma^iS^2(\sigma_t^2-\sigma_i^2)dt
Daily gamma–theta 12ΓS2[(ΔS/S)2−σi2Δt]\tfrac12\Gamma S^2[(\Delta S/S)^2-\sigma_i^2\Delta t]; breakeven move σiΔt\sigma_i\sqrt{\Delta t}
Expected hedged P&L, GBM (9.14); equals BS(σr)−BS(σi)BS(\sigma_r)-BS(\sigma_i) if μ=r\mu=r
Hedge at realised P&L =BS(σr)−BS(σi)=BS(\sigma_r)-BS(\sigma_i), deterministic
Robustness σt≤σh\sigma_t\le\sigma_h, convex payoff ⇒ short hedged at σh\sigma_h has P&L ≥ 0
VRP EQ[RV]−EP[RV]=Cov⁡(M,RV)/E[M]E^{\mathbb Q}[RV]-E^{\mathbb P}[RV]=\operatorname{Cov}(M,RV)/E[M]
Breeden–Litzenberger q(K)=erT∂K2Cq(K)=e^{rT}\partial^2_KC
Smile quotes RR25=σ25C−σ25PRR_{25}=\sigma_{25C}-\sigma_{25P}, BF25=12(σ25C+σ25P)−σATMBF_{25}=\tfrac12(\sigma_{25C}+\sigma_{25P})-\sigma_{ATM}
Sticky-delta delta Δ=ΔBS+V ∂σ/∂S\Delta=\Delta_{BS}+\mathcal V\,\partial\sigma/\partial S, ∂σ/∂S=−(K/S)∂σ/∂K\partial\sigma/\partial S=-(K/S)\partial\sigma/\partial K
Dupire σloc2=∂TC+(r−q)K∂KC+qC12K2∂K2C\sigma^2_{loc}=\dfrac{\partial_TC+(r-q)K\partial_KC+qC}{\frac12K^2\partial^2_KC}
Variance swap Kvar=2erTT∫0∞Q(K)K2dKK_{var}=\dfrac{2e^{rT}}{T}\displaystyle\int_0^\infty\frac{Q(K)}{K^2}dK; VIX discretisation (9.25)
ATM gamma, theta Γ≈1/(σS2πτ)\Gamma\approx1/(\sigma S\sqrt{2\pi\tau}), Θ≈−σS/(22πτ)\Theta\approx-\sigma S/(2\sqrt{2\pi\tau})
Kelly with skew μ3≤0⇒f∗<μ1/μ2<μ/σ2\mu_3\le0\Rightarrow f^*<\mu_1/\mu_2<\mu/\sigma^2; always f∗<1/Lf^*<1/L

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