Markets: A Rigorous Course

Summary of key results

Foundation about 15 min
Result Formula
DF regression Δyt=γyt−1+et\Delta y_t = \gamma y_{t-1} + e_t, γ=ρ−1\gamma = \rho-1 (13A.2)
DF limits (no constant) T(ρ^−1)⇒12(W(1)2−1)∫W2T(\hat\rho-1)\Rightarrow\frac{\frac12(W(1)^2-1)}{\int W^2}; τ^⇒12(W(1)2−1)(∫W2)1/2\hat\tau\Rightarrow\frac{\frac12(W(1)^2-1)}{(\int W^2)^{1/2}}; P(ρ^<1)→0.6827P(\hat\rho<1)\to0.6827 (13A.4)
DF 5% critical values none −1.94; constant −2.86; constant+trend −3.41
ADF reparametrisation γ=∑ϕi−1\gamma = \sum\phi_i - 1, δj=−∑i>jϕi\delta_j = -\sum_{i>j}\phi_i (13A.6)
Spurious regression β^\hat\beta, R2R^2 non-degenerate; t=Op(T)t = O_p(\sqrt T) (13A.8)
VECM Δyt=αβ′yt−1+∑ΓiΔyt−i+εt\Delta y_t = \alpha\beta'y_{t-1} + \sum\Gamma_i\Delta y_{t-i} + \varepsilon_t (13A.9–10)
Granger representation, VAR(1) β′yt=(I+β′α)β′yt−1+β′εt\beta'y_t = (I+\beta'\alpha)\beta'y_{t-1}+\beta'\varepsilon_t; C=β⊥(α⊥′β⊥)−1α⊥′C = \beta_\perp(\alpha_\perp'\beta_\perp)^{-1}\alpha_\perp' (13A.11–13)
Engle–Granger 5% (pair, constant) −3.34 (vs DF −2.86)
Johansen ∣λS11−S10S00−1S01∣=0\lvert\lambda S_{11}-S_{10}S_{00}^{-1}S_{01}\rvert=0; trace −T∑i>rln⁡(1−λ^i)-T\sum_{i>r}\ln(1-\hat\lambda_i); max-eig −Tln⁡(1−λ^r+1)-T\ln(1-\hat\lambda_{r+1}) (13A.18–21)
OU exact AR(1) b=e−κΔb = e^{-\kappa\Delta}, a=θ(1−b)a = \theta(1-b), σe2=σ2(1−b2)/(2κ)\sigma_e^2 = \sigma^2(1-b^2)/(2\kappa); half-life ln⁡2/κ\ln2/\kappa (13A.23)
OU MLE κ^=−ln⁡b^/Δ\hat\kappa = -\ln\hat b/\Delta, θ^=a^/(1−b^)\hat\theta = \hat a/(1-\hat b), σ^=σ^e2κ^/(1−b^2)\hat\sigma = \hat\sigma_e\sqrt{2\hat\kappa/(1-\hat b^2)} (13A.24)
Precision of κ^\hat\kappa rel. s.e. ≈2/(κS)\approx\sqrt{2/(\kappa S)}; rel. bias ≈4/(κS)\approx 4/(\kappa S), SS = span (13A.25)
OU passage time Exτℓ=πκ∫zzℓerfcx⁡(−u)du\mathbb E_x\tau_\ell = \frac{\sqrt\pi}{\kappa}\int_z^{z_\ell}\operatorname{erfcx}(-u)du (13A.27)
Bertram cycle ET=πκ[erfi⁡(zm)−erfi⁡(za)]\mathbb E\mathcal T = \frac\pi\kappa[\operatorname{erfi}(z_m)-\operatorname{erfi}(z_a)]; rate (m−a−c)/ET(m-a-c)/\mathbb E\mathcal T (13A.26, 13A.28)
Optimal symmetric band (2u−c^)eu2=πerfi⁡(u)(2u-\hat c)e^{u^2} = \sqrt\pi\operatorname{erfi}(u); u∗≈(3c^/4)1/3u^*\approx(3\hat c/4)^{1/3}; zero-cost rate σκ/(2π)\sigma\sqrt\kappa/(2\sqrt\pi) (13A.29)
TLS slope (Syy−Sxx)+(Syy−Sxx)2+4Sxy22Sxy\frac{(S_{yy}-S_{xx})+\sqrt{(S_{yy}-S_{xx})^2+4S_{xy}^2}}{2S_{xy}}; β^y∣xβ^x∣y=ρ^2\hat\beta_{y\mid x}\hat\beta_{x\mid y} = \hat\rho^2 (13A.30)
Kalman filter Pt∣t−1=Pt−1∣t−1+QP_{t\mid t-1} = P_{t-1\mid t-1}+Q; Ft=xt′Pt∣t−1xt+RF_t = x_t'P_{t\mid t-1}x_t+R; Kt=Pt∣t−1xt/FtK_t = P_{t\mid t-1}x_t/F_t; bt∣t=bt∣t−1+Ktetb_{t\mid t} = b_{t\mid t-1}+K_te_t (13A.32–34)
Kalman steady state Pˉ=12(Q+Q2+4QR/x2)\bar P = \frac12(Q+\sqrt{Q^2+4QR/x^2}); EWMA weight λ=Kˉx\lambda = \bar Kx (13A.36)
Chow test F=(SSRR−SSR1−SSR2)/k(SSR1+SSR2)/(n−2k)∼F(k,n−2k)F = \frac{(\text{SSR}_R-\text{SSR}_1-\text{SSR}_2)/k}{(\text{SSR}_1+\text{SSR}_2)/(n-2k)}\sim F(k,n-2k) (13A.37)
Unknown date use sup⁡F\sup F (Andrews 1993); Chow at a data-chosen date rejects ~37% at nominal 5% (T=200T=200, k=2k=2)
CUSUM Wr=σ^−1∑wtW_r = \hat\sigma^{-1}\sum w_t; bounds ±0.948[n−k+2(r−k)/n−k]\pm0.948[\sqrt{n-k}+2(r-k)/\sqrt{n-k}] (13A.38–39)

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