BlackScholesGreeks.m

%[text] # Black-Scholes Greeks from First Principles
%[text] Exact analytical sensitivities for options pricing, from no-arbitrage derivation through symbolic PDE solution to deployable Greek functions.
%[text] **Workflow:** Ito's lemma → Black-Scholes PDE → closed-form solution → exact Greeks → near-ATM Taylor expansions → code generation → validation
%[text] Requires: Symbolic Math Toolbox™, Financial Toolbox™
%%
%[text] ## 1. Geometric Brownian Motion and Ito's Lemma
%[text] A stock price $S$ follows geometric Brownian motion under the physical measure:
%[text] $ dS = \\mu S \\, dt + \\sigma S \\, dW $
%[text] For a twice-differentiable function $V(S,t)$ (option value), Ito's lemma gives:
%[text] $ dV = \\left( \\frac{\\partial V}{\\partial t} + \\mu S \\frac{\\partial V}{\\partial S} + \\frac{1}{2} \\sigma^2 S^2 \\frac{\\partial^2 V}{\\partial S^2} \\right) dt + \\sigma S \\frac{\\partial V}{\\partial S} \\, dW $
%[text] Construct a delta-hedged portfolio $\\Pi = V - \\Delta S$ that eliminates the stochastic term. Setting $\\Delta = \\partial V / \\partial S$ and requiring the portfolio to earn the risk-free rate $r$ yields the Black-Scholes PDE.
syms S t r sigma tau positive
syms K positive
syms V(S, t)
dVdt = diff(V, t);
dVdS = diff(V, S);
d2VdS2 = diff(V, S, 2);
%[text] The Black-Scholes PDE:
%[text] $ \\frac{\\partial V}{\\partial t} + r S \\frac{\\partial V}{\\partial S} + \\frac{1}{2} \\sigma^2 S^2 \\frac{\\partial^2 V}{\\partial S^2} - rV = 0 $
BS_PDE = dVdt + r*S*dVdS + sigma^2*S^2/2 * d2VdS2 - r*V;
disp('Black-Scholes PDE (= 0):') %[output:23e26ce3]
disp(BS_PDE) %[output:90c2ae8a]
%%
%[text] ## 2. Solve the Black-Scholes PDE via Substitution
%[text] The standard approach transforms the PDE into the heat equation. We work in time-to-expiry $\\tau = T - t$ and use the known solution structure for a European call: $C(S, \\tau) = S \\, N(d\_1) - K e^{-r\\tau} N(d\_2)$.
%[text] Rather than solve the PDE numerically, verify the closed-form solution satisfies the PDE symbolically.
syms d1 d2
assume(tau > 0)
d1_expr = (log(S/K) + (r + sigma^2/2)*tau) / (sigma*sqrt(tau));
d2_expr = d1_expr - sigma*sqrt(tau);
%[text] The European call price in terms of the cumulative normal $N(\\cdot)$:
C_BS = S * normcdf(d1_expr) - K*exp(-r*tau) * normcdf(d2_expr);
disp('Black-Scholes call price C(S, tau):') %[output:5850c930]
disp(C_BS) %[output:0ac6816e]
%%
%[text] ### Verify the Solution Satisfies the PDE
%[text] Substitute $C(S,\\tau)$ into the PDE (with $\\partial/\\partial t = -\\partial/\\partial\\tau$). If the formula is correct, the residual simplifies to exactly zero.
PDE_residual = -diff(C_BS, tau) + r*S*diff(C_BS, S) ...
    + sigma^2*S^2/2 * diff(C_BS, S, 2) - r*C_BS;
PDE_check = simplify(PDE_residual);
disp('PDE residual (should be 0):') %[output:250ce44a]
disp(PDE_check) %[output:5273a3e1]
%%
%[text] ## 3. Extract All Greeks as Exact Partial Derivatives
%[text] Each Greek is a partial derivative of the option price with respect to a market variable. 
%[text] ### First-Order Greeks
Delta_call = simplify(diff(C_BS, S));
Theta_call = simplify(-diff(C_BS, tau));
Rho_call   = simplify(diff(C_BS, r));
Vega_call  = simplify(diff(C_BS, sigma));
disp('Delta (dC/dS):') %[output:7c38aecf]
disp(Delta_call) %[output:289bdc93]
disp('Vega (dC/dsigma):') %[output:3707debb]
disp(Vega_call) %[output:8935e376]
disp('Theta (−dC/dtau):') %[output:278f7ea3]
disp(Theta_call) %[output:9c748fd3]
disp('Rho (dC/dr):') %[output:34d60db1]
disp(Rho_call) %[output:007aa6b8]
%%
%[text] ### Second-Order Greeks
%[text] Gamma and Vanna require second partial derivatives. Bump-and-revalue approximations to second derivatives are notoriously noisy. The symbolic approach eliminates this.
Gamma_call = simplify(diff(C_BS, S, 2));
Vanna_call = simplify(diff(Delta_call, sigma));
Volga_call = simplify(diff(Vega_call, sigma));
Charm_call = simplify(-diff(Delta_call, tau));
Speed_call = simplify(diff(Gamma_call, S));
disp('Gamma (d²C/dS²):') %[output:3a25ea7a]
disp(Gamma_call) %[output:3fe1e9c3]
disp('Vanna (d²C/dS dsigma):') %[output:4d7c3309]
disp(Vanna_call) %[output:3161e596]
disp('Volga (d²C/dsigma²):') %[output:20792edb]
disp(Volga_call) %[output:6dd962ea]
disp('Charm (−dDelta/dtau):') %[output:825f9679]
disp(Charm_call) %[output:19453fed]
%%
%[text] ## 4. Put-Call Parity — Put Greeks by Differentiation
%[text] Put-call parity: $P = C - S + K e^{-r\\tau}$. Differentiating symbolically gives all put Greeks without re-derivation.
P_BS = C_BS - S + K*exp(-r*tau);
P_BS = simplify(P_BS);
Delta_put = simplify(diff(P_BS, S));
Gamma_put = simplify(diff(P_BS, S, 2));
Theta_put = simplify(-diff(P_BS, tau));
disp('Put Delta (should be Delta_call - 1):') %[output:068f07a2]
disp(Delta_put) %[output:01c18913]
disp('Put Gamma (should equal call Gamma):') %[output:5b9484bc]
disp(simplify(Gamma_put - Gamma_call)) %[output:70fccf8f]
%%
%[text] ## 5. Near-ATM Taylor Expansions
%[text] At-the-money options ($S \\approx K$) dominate trading volume and hedging activity. Taylor expansion around $S = K$ gives fast polynomial approximations for real-time risk dashboards that avoid evaluating `normcdf` and `exp` on every tick.
%[text] ### Delta Near ATM
Delta_atm_taylor = taylor(Delta_call, S, K, 'Order', 4);
Delta_atm_taylor = simplify(Delta_atm_taylor);
disp('Delta Taylor expansion around S = K (to 3rd order):') %[output:06b93edd]
disp(Delta_atm_taylor) %[output:7c42d904]
%%
%[text] ### Gamma Near ATM
Gamma_atm_taylor = taylor(Gamma_call, S, K, 'Order', 3);
Gamma_atm_taylor = simplify(Gamma_atm_taylor);
disp('Gamma Taylor expansion around S = K (to 2nd order):') %[output:5d5cdb33]
disp(Gamma_atm_taylor) %[output:376fb918]
%%
%[text] ### Implied Volatility Approximation (Brenner-Subrahmanyam)
%[text] The Brenner-Subrahmanyam approximation assumes zero rates ($r = 0$) so that at ATM: $d\_1 = \\sigma\\sqrt{\\tau}/2$, which is analytic at $\\sigma = 0$.
%[text] Under this regime, expanding the call price in $\\sigma$ gives
%[text] $C\_{ATM} \\approx K \\sigma \\sqrt{\\tau} / \\sqrt{2\\pi}$ at leading order.
C_atm_zero_r = simplify(subs(C_BS, [S, r], [K, sym(0)]));
C_atm_taylor = taylor(C_atm_zero_r, sigma, 0, 'Order', 3);
C_atm_taylor = simplify(C_atm_taylor);
disp('ATM call price expansion in sigma (r=0, Brenner-Subrahmanyam):') %[output:76c99b33]
disp(C_atm_taylor) %[output:4cc18c7d]
%%
%[text] ## 6. Barrier and Digital Option Limits
%[text] Digital (binary) options pay $1 if $S \> K\\$ at expiry. Their price is the limit of a call spread as the spread width goes to zero - equivalently, $\\partial C / \\partial K$ scaled appropriately.
%[text] The symbolic approach evaluates these limits exactly, handling the distributional edge cases that numerical methods struggle with.
syms epsilon positive
call_spread = (subs(C_BS, K, K - epsilon/2) - subs(C_BS, K, K + epsilon/2)) / epsilon;
digital_price = limit(call_spread, epsilon, 0);
digital_price = simplify(digital_price);
disp('Digital call price (limit of call spread):') %[output:21b64291]
disp(digital_price) %[output:0926c89b]
%[text] Verify: this should equal $e^{-r\\tau} N(d\_2)$:
digital_expected = exp(-r*tau) * normcdf(d2_expr);
disp('Difference from expected (should be 0):') %[output:184bd595]
disp(simplify(digital_price - digital_expected)) %[output:92806e0b]
%%
%[text] ### Digital Greeks
%[text] Digital option Greeks have discontinuities near the barrier that make finite-difference approximation unreliable. Exact derivatives are essential.
Digital_delta = simplify(diff(digital_price, S));
Digital_gamma = simplify(diff(digital_price, S, 2));
disp('Digital Delta:') %[output:8077b539]
disp(Digital_delta) %[output:643096a6]
disp('Digital Gamma:') %[output:2c605f7f]
disp(Digital_gamma) %[output:3fb00f04]
%%
%[text] ## 7. Multi-Asset Cross-Greeks via Jacobian
%[text] A portfolio of options on correlated underlyings requires cross-asset sensitivities. The `jacobian` function computes the full matrix of partial derivatives in one call.
syms S1 S2 sigma1 sigma2 K1 K2 positive
syms rho real
assume(-1 < rho & rho < 1)
%[text] Two single-asset calls (for illustration — extends to basket options):
d1_1 = (log(S1/K1) + (r + sigma1^2/2)*tau) / (sigma1*sqrt(tau));
d2_1 = d1_1 - sigma1*sqrt(tau);
C1 = S1*normcdf(d1_1) - K1*exp(-r*tau)*normcdf(d2_1);
d1_2 = (log(S2/K2) + (r + sigma2^2/2)*tau) / (sigma2*sqrt(tau));
d2_2 = d1_2 - sigma2*sqrt(tau);
C2 = S2*normcdf(d1_2) - K2*exp(-r*tau)*normcdf(d2_2);
%[text] Portfolio value $\\Pi = C\_1 + C\_2$. The cross-Greek matrix:
Pi_portfolio = C1 + C2;
greeks_vector = [diff(Pi_portfolio, S1); diff(Pi_portfolio, S2); ...
                 diff(Pi_portfolio, sigma1); diff(Pi_portfolio, sigma2)];
J_cross = jacobian(greeks_vector, [S1, S2, sigma1, sigma2]);
disp('Cross-Greek Jacobian structure (4x4):') %[output:6ca0cc1e]
disp(size(J_cross)) %[output:3888b220]
%%
%[text] ## 8. Code Generation — Deploy to Pricing Engine
%[text] Convert the symbolic Greeks to optimized MATLAB® functions to deploy directly into pricing engines and Monte Carlo.
%[text] ### Generate Vectorized Greek Functions
matlabFunction(C_BS, Delta_call, Gamma_call, Vega_call, Theta_call, Rho_call, ...
    'File', 'bsGreeks', ...
    'Vars', {S, K, r, sigma, tau}, ...
    'Outputs', {'Price', 'Delta', 'Gamma', 'Vega', 'Theta', 'Rho'});
matlabFunction(Vanna_call, Volga_call, Charm_call, Speed_call, ...
    'File', 'bsGreeksSecondOrder', ...
    'Vars', {S, K, r, sigma, tau}, ...
    'Outputs', {'Vanna', 'Volga', 'Charm', 'Speed'});
matlabFunction(Delta_atm_taylor, Gamma_atm_taylor, ...
    'File', 'bsGreeksATM', ...
    'Vars', {S, K, r, sigma, tau}, ...
    'Outputs', {'DeltaATM', 'GammaATM'});
disp('Generated: bsGreeks.m, bsGreeksSecondOrder.m, bsGreeksATM.m') %[output:16a1ffba]
%%
%[text] ## 9. Numerical Evaluation — Greek Surface
%[text] Evaluate the exact Greeks across the $(S, \\tau)$ surface using realistic market parameters for an equity index option.
K_val = 4500;
r_val = 0.045;
sigma_val = 0.18;
S_vec = linspace(3600, 5400, 120);
tau_vec = linspace(0.01, 1.0, 80);
[S_grid, tau_grid] = meshgrid(S_vec, tau_vec);
[price, delta, gamma, vega, theta, rho_out] = bsGreeks(S_grid, K_val, r_val, sigma_val, tau_grid);
%%
%[text] ### Delta and Gamma Surfaces
tiledlayout(1, 2) %[output:79df9a7a]
nexttile %[output:79df9a7a]
surf(S_vec, tau_vec, delta, 'EdgeColor', 'none') %[output:79df9a7a]
xlabel('Spot S') %[output:79df9a7a]
ylabel('\tau (years)') %[output:79df9a7a]
zlabel('\Delta') %[output:79df9a7a]
title('Call Delta') %[output:79df9a7a]
colorbar %[output:79df9a7a]
view([-35 30]) %[output:79df9a7a]
nexttile %[output:79df9a7a]
surf(S_vec, tau_vec, gamma, 'EdgeColor', 'none') %[output:79df9a7a]
xlabel('Spot S') %[output:79df9a7a]
ylabel('\tau (years)') %[output:79df9a7a]
zlabel('\Gamma') %[output:79df9a7a]
title('Call Gamma') %[output:79df9a7a]
colorbar %[output:79df9a7a]
view([-35 30]) %[output:79df9a7a]
%%
%[text] ### Theta and Vega Surfaces
tiledlayout(1, 2) %[output:83605ad8]
nexttile %[output:83605ad8]
surf(S_vec, tau_vec, theta, 'EdgeColor', 'none') %[output:83605ad8]
xlabel('Spot S') %[output:83605ad8]
ylabel('\tau (years)') %[output:83605ad8]
zlabel('\Theta') %[output:83605ad8]
title('Call Theta (time decay)') %[output:83605ad8]
colorbar %[output:83605ad8]
view([-35 30]) %[output:83605ad8]
nexttile %[output:83605ad8]
surf(S_vec, tau_vec, vega, 'EdgeColor', 'none') %[output:83605ad8]
xlabel('Spot S') %[output:83605ad8]
ylabel('\tau (years)') %[output:83605ad8]
zlabel('Vega') %[output:83605ad8]
title('Call Vega') %[output:83605ad8]
colorbar %[output:83605ad8]
view([-35 30]) %[output:83605ad8]
%%
%[text] ## 10. Taylor Approximation Accuracy
%[text] Compare the exact Delta against the near-ATM Taylor approximation across moneyness. The Taylor expansion is extremely accurate within $\\pm 5\\%$ of ATM, where most hedging activity occurs.
tau_test = 0.25;
S_test = linspace(0.85*K_val, 1.15*K_val, 200);
[~, delta_exact] = bsGreeks(S_test, K_val, r_val, sigma_val, tau_test);
[delta_taylor, ~] = bsGreeksATM(S_test, K_val, r_val, sigma_val, tau_test);
moneyness = S_test / K_val;
tiledlayout(2, 1) %[output:009aa6e6]
nexttile %[output:009aa6e6]
plot(moneyness, delta_exact, 'b-', 'LineWidth', 2) %[output:009aa6e6]
hold on %[output:009aa6e6]
plot(moneyness, delta_taylor, 'r--', 'LineWidth', 2) %[output:009aa6e6]
hold off %[output:009aa6e6]
xline(1, ':k') %[output:009aa6e6]
xlabel('Moneyness S/K') %[output:009aa6e6]
ylabel('\Delta') %[output:009aa6e6]
title('Delta: Exact vs. Taylor (3-month, \sigma = 18%)') %[output:009aa6e6]
legend('Exact (symbolic)', 'Taylor (3rd order)', 'Location', 'southeast') %[output:009aa6e6]
grid on %[output:009aa6e6]
nexttile %[output:009aa6e6]
plot(moneyness, abs(delta_exact - delta_taylor), 'm-', 'LineWidth', 1.5) %[output:009aa6e6]
xline(1, ':k') %[output:009aa6e6]
xline(0.95, '--k', '-5%') %[output:009aa6e6]
xline(1.05, '--k', '+5%') %[output:009aa6e6]
xlabel('Moneyness S/K') %[output:009aa6e6]
ylabel('|Error|') %[output:009aa6e6]
title('Approximation Error') %[output:009aa6e6]
grid on %[output:009aa6e6]
%%
%[text] ## 11. Validate Against Financial Toolbox
%[text] The Financial Toolbox provides `blsprice` and `blsdelta`/`blsgamma`/etc. as reference implementations. Validate our symbolic-derived functions against these built-in functions across the parameter space.
S_val = 4500;
tau_val = 0.5;
[price_sym, delta_sym, gamma_sym, vega_sym, theta_sym, rho_sym] = ...
    bsGreeks(S_val, K_val, r_val, sigma_val, tau_val);
[price_ft, ~] = blsprice(S_val, K_val, r_val, tau_val, sigma_val);
delta_ft = blsdelta(S_val, K_val, r_val, tau_val, sigma_val);
gamma_ft = blsgamma(S_val, K_val, r_val, tau_val, sigma_val);
vega_ft  = blsvega(S_val, K_val, r_val, tau_val, sigma_val);
theta_ft = blstheta(S_val, K_val, r_val, tau_val, sigma_val);
rho_ft   = blsrho(S_val, K_val, r_val, tau_val, sigma_val);
%[text:table]
%[text] | Greek | Symbolic | Financial Toolbox | Abs Diff |
%[text] | --- | --- | --- | --- |
%[text] | Price | (computed) | (computed) | (computed) |
%[text] | Delta | (computed) | (computed) | (computed) |
%[text] | Gamma | (computed) | (computed) | (computed) |
%[text:table]
fprintf('Validation: Symbolic vs Financial Toolbox (S=%g, K=%g, r=%g, sigma=%g, tau=%g)\n', ... %[output:group:933eaf50] %[output:755ad06d]
    S_val, K_val, r_val, sigma_val, tau_val) %[output:group:933eaf50] %[output:755ad06d]
fprintf('  %-8s  %12s  %12s  %12s\n', 'Greek', 'Symbolic', 'Fin Toolbox', '|Diff|') %[output:9b323e0d]
fprintf('  %-8s  %12.6f  %12.6f  %12.2e\n', 'Price', price_sym, price_ft, abs(price_sym - price_ft)) %[output:4fe30efd]
fprintf('  %-8s  %12.8f  %12.8f  %12.2e\n', 'Delta', delta_sym, delta_ft, abs(delta_sym - delta_ft)) %[output:42b77f69]
fprintf('  %-8s  %12.8f  %12.8f  %12.2e\n', 'Gamma', gamma_sym, gamma_ft, abs(gamma_sym - gamma_ft)) %[output:85fc8557]
fprintf('  %-8s  %12.6f  %12.6f  %12.2e\n', 'Vega', vega_sym, vega_ft, abs(vega_sym - vega_ft)) %[output:0f92d6bc]
fprintf('  %-8s  %12.6f  %12.6f  %12.2e\n', 'Theta', theta_sym, theta_ft, abs(theta_sym - theta_ft)) %[output:0a2fbc47]
fprintf('  %-8s  %12.6f  %12.6f  %12.2e\n', 'Rho', rho_sym, rho_ft, abs(rho_sym - rho_ft)) %[output:4dd4023f]
%%
%[text] ## 12. Monte Carlo with Exact Greeks
%[text] Monte Carlo typically uses bump-and-revalue for Greeks: perturb each input by $\\epsilon$, reprice, and difference. 
%[text] This requires $2N$ repricing per Greek per path. With the symbolic approach, Greeks evaluate in a single vectorized call, which is faster and less noisy than discretization.
%[text] ### Simulate GBM Paths and Compute Greeks Along Each Path
N_paths = 50000;
N_steps = 252;
dt = 1/252;
rng(7)
Z = randn(N_paths, N_steps);
S_paths = zeros(N_paths, N_steps + 1);
S_paths(:, 1) = S_val;
for step = 1:N_steps
    S_paths(:, step+1) = S_paths(:, step) .* exp((r_val - sigma_val^2/2)*dt + sigma_val*sqrt(dt)*Z(:, step));
end
%[text] Evaluate exact Greeks at each rebalancing point (weekly, for illustration):
rebal_idx = 1:5:N_steps;
tau_remaining = (N_steps - rebal_idx + 1) * dt;
S_rebal = S_paths(:, rebal_idx);
[~, delta_paths] = bsGreeks(S_rebal, K_val, r_val, sigma_val, tau_remaining);
%%
%[text] ### Hedging P&L Distribution
%[text] A delta-hedged portfolio should have near-zero P&L if Greeks are exact. Compute the realized hedging error from discrete rebalancing.
dS = diff(S_paths(:, rebal_idx), 1, 2);
hedge_pnl = sum(delta_paths(:, 1:end-1) .* dS, 2);
payoff = max(S_paths(:, end) - K_val, 0);
option_pnl = payoff * exp(-r_val) - price_sym;
hedge_error = option_pnl - hedge_pnl;
tiledlayout(1, 2) %[output:13a1c404]
nexttile %[output:13a1c404]
histogram(hedge_error, 80, 'FaceColor', [0.2 0.4 0.8], 'EdgeColor', 'none', 'FaceAlpha', 0.8) %[output:13a1c404]
xline(mean(hedge_error), 'r-', sprintf('Mean = %.2f', mean(hedge_error)), 'LineWidth', 2) %[output:13a1c404]
xlabel('Hedging Error ($)') %[output:13a1c404]
ylabel('Paths') %[output:13a1c404]
title(sprintf('Delta-Hedge Error (weekly rebal, %dk paths)', N_paths/1000)) %[output:13a1c404]
grid on %[output:13a1c404]
nexttile %[output:13a1c404]
plot(rebal_idx * dt, mean(delta_paths, 1), 'b-', 'LineWidth', 2) %[output:13a1c404]
hold on %[output:13a1c404]
plot(rebal_idx * dt, quantile(delta_paths, 0.05, 1), 'r--', 'LineWidth', 1.5) %[output:13a1c404]
plot(rebal_idx * dt, quantile(delta_paths, 0.95, 1), 'r--', 'LineWidth', 1.5) %[output:13a1c404]
hold off %[output:13a1c404]
xlabel('Time (years)') %[output:13a1c404]
ylabel('\Delta') %[output:13a1c404]
title('Delta Evolution Across Paths') %[output:13a1c404]
legend('Mean \Delta', '5th/95th percentile', 'Location', 'best') %[output:13a1c404]
grid on %[output:13a1c404]
%%
%[text] ### Performance: Exact vs. Bump-and-Revalue
%[text] Time the exact Greek evaluation versus a bump-and-revalue approach.
S_bench = S_paths(:, 126);
tau_bench = 0.5;
epsilon_bump = 0.01 * S_val;
tic
[~, delta_exact_bench] = bsGreeks(S_bench, K_val, r_val, sigma_val, tau_bench);
t_exact = toc;
tic
[price_up] = bsGreeks(S_bench + epsilon_bump, K_val, r_val, sigma_val, tau_bench);
[price_dn] = bsGreeks(S_bench - epsilon_bump, K_val, r_val, sigma_val, tau_bench);
delta_bump = (price_up - price_dn) / (2*epsilon_bump);
t_bump = toc;
fprintf('Exact Greeks:         %.4f s  (%d evaluations)\n', t_exact, N_paths) %[output:3ebdc253]
fprintf('Bump-and-revalue:     %.4f s  (%d evaluations, 2 reprices per Greek)\n', t_bump, N_paths) %[output:86d38471]
fprintf('Max |delta_exact - delta_bump|: %.2e  (bump noise)\n', max(abs(delta_exact_bench - delta_bump))) %[output:14a534da]

%[appendix]{"version":"1.0"}
%---
%[metadata:view]
%   data: {"layout":"inline"}
%---
%[output:23e26ce3]
%   data: {"dataType":"text","outputData":{"text":"Black-Scholes PDE (= 0):\n","truncated":false}}
%---
%[output:90c2ae8a]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\partial }{\\partial t}\\;V\\left(S,t\\right)-r\\,V\\left(S,t\\right)+\\frac{S^2 \\,\\sigma^2 \\,\\frac{\\partial^2 }{\\partial S^2 }\\;V\\left(S,t\\right)}{2}+S\\,r\\,\\frac{\\partial }{\\partial S}\\;V\\left(S,t\\right)"}}
%---
%[output:5850c930]
%   data: {"dataType":"text","outputData":{"text":"Black-Scholes call price C(S, tau):\n","truncated":false}}
%---
%[output:0ac6816e]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"-S\\,{\\left(\\frac{\\textrm{erfc}\\left(\\frac{\\sqrt{2}\\,{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}{2\\,\\sigma \\,\\sqrt{\\tau }}\\right)}{2}-1\\right)}-\\frac{K\\,\\textrm{erfc}\\left(\\frac{\\sqrt{2}\\,{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}{2}\\right)\\,{\\mathrm{e}}^{-r\\,\\tau } }{2}"}}
%---
%[output:250ce44a]
%   data: {"dataType":"text","outputData":{"text":"PDE residual (should be 0):\n","truncated":false}}
%---
%[output:5273a3e1]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"0"}}
%---
%[output:7c38aecf]
%   data: {"dataType":"text","outputData":{"text":"Delta (dC\/dS):\n","truncated":false}}
%---
%[output:289bdc93]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} }{2\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-\\frac{\\textrm{erfc}\\left(\\frac{\\sqrt{2}\\,{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}{2\\,\\sigma \\,\\sqrt{\\tau }}\\right)}{2}-\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} \\,{\\mathrm{e}}^{-r\\,\\tau } }{2\\,S\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}+1"}}
%---
%[output:3707debb]
%   data: {"dataType":"text","outputData":{"text":"Vega (dC\/dsigma):\n","truncated":false}}
%---
%[output:8935e376]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{S\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\frac{\\sqrt{2}\\,\\sqrt{\\tau }}{2}-\\frac{\\sqrt{2}\\,{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}{2\\,\\sigma^2 \\,\\sqrt{\\tau }}\\right)}}{\\sqrt{\\pi }}+\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} \\,{\\mathrm{e}}^{-r\\,\\tau } \\,{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}{2\\,\\sigma^2 \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}"}}
%---
%[output:278f7ea3]
%   data: {"dataType":"text","outputData":{"text":"Theta (−dC\/dtau):\n","truncated":false}}
%---
%[output:9c748fd3]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{K\\,r\\,{\\mathrm{e}}^{-r\\,\\tau } \\,{\\left(\\mathrm{erf}\\left(\\frac{\\sqrt{2}\\,{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}{4\\,\\sigma \\,\\sqrt{\\tau }}\\right)-1\\right)}}{2}-\\frac{\\sqrt{2}\\,S\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}{8\\,\\sigma \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}+\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-r\\,\\tau -\\frac{{{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{\\left(-\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}{8\\,\\sigma \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}"}}
%---
%[output:34d60db1]
%   data: {"dataType":"text","outputData":{"text":"Rho (dC\/dr):\n","truncated":false}}
%---
%[output:007aa6b8]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{K\\,\\tau \\,\\textrm{erfc}\\left(\\frac{\\sqrt{2}\\,{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}{2}\\right)\\,{\\mathrm{e}}^{-r\\,\\tau } }{2}+\\frac{\\sqrt{2}\\,S\\,\\sqrt{\\tau }\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} }{2\\,\\sigma \\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,K\\,\\sqrt{\\tau }\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} \\,{\\mathrm{e}}^{-r\\,\\tau } }{2\\,\\sigma \\,\\sqrt{\\pi }}"}}
%---
%[output:3a25ea7a]
%   data: {"dataType":"text","outputData":{"text":"Gamma (d²C\/dS²):\n","truncated":false}}
%---
%[output:3fe1e9c3]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} }{2\\,S\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}{2\\,S\\,\\sigma^3 \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}+\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} \\,{\\mathrm{e}}^{-r\\,\\tau } }{2\\,S^2 \\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} \\,{\\mathrm{e}}^{-r\\,\\tau } \\,{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}{2\\,S^2 \\,\\sigma^2 \\,\\tau \\,\\sqrt{\\pi }}"}}
%---
%[output:4d7c3309]
%   data: {"dataType":"text","outputData":{"text":"Vanna (d²C\/dS dsigma):\n","truncated":false}}
%---
%[output:3161e596]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\frac{\\sqrt{2}\\,\\sqrt{\\tau }}{2}-\\frac{\\sqrt{2}\\,{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}{2\\,\\sigma^2 \\,\\sqrt{\\tau }}\\right)}}{\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} }{2\\,\\sigma^2 \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma }-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{\\sigma^3 \\,\\tau }\\right)}}{2\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}+\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} \\,{\\mathrm{e}}^{-r\\,\\tau } }{2\\,S\\,\\sigma^2 \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}+\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} \\,{\\mathrm{e}}^{-r\\,\\tau } \\,{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}\\,{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}{2\\,S\\,\\sigma^3 \\,\\tau \\,\\sqrt{\\pi }}"}}
%---
%[output:20792edb]
%   data: {"dataType":"text","outputData":{"text":"Volga (d²C\/dsigma²):\n","truncated":false}}
%---
%[output:6dd962ea]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\sqrt{2}\\,K\\,\\sqrt{\\tau }\\,{\\mathrm{e}}^{-r\\,\\tau -\\frac{{{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} }{2\\,\\sigma \\,\\sqrt{\\pi }}+\\frac{\\sqrt{2}\\,S\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\log \\left(S\\right)-\\log \\left(K\\right)+r\\,\\tau \\right)}}{\\sigma^3 \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-r\\,\\tau -\\frac{{{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\frac{\\tau \\,\\sigma^2 }{2}-\\log \\left(K\\right)+\\log \\left(S\\right)+r\\,\\tau \\right)}}{\\sigma^3 \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}+\\frac{\\sqrt{2}\\,S\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}\\,{\\left(4\\,r^2 \\,\\tau^2 -\\sigma^4 \\,\\tau^2 +4\\,{{\\left(\\log \\left(K\\right)-\\log \\left(S\\right)\\right)}}^2 -8\\,r\\,\\tau \\,{\\left(\\log \\left(K\\right)-\\log \\left(S\\right)\\right)}\\right)}}{16\\,\\sigma^5 \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-r\\,\\tau -\\frac{{{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 \\,{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}{16\\,\\sigma^5 \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}"}}
%---
%[output:825f9679]
%   data: {"dataType":"text","outputData":{"text":"Charm (−dDelta\/dtau):\n","truncated":false}}
%---
%[output:19453fed]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\frac{\\sqrt{2}\\,{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}{4\\,\\sigma \\,\\tau^{3\/2} }-\\frac{\\sqrt{2}\\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{2\\,\\sigma \\,\\sqrt{\\tau }}\\right)}}{\\sqrt{\\pi }}+\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} }{4\\,\\sigma \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau^2 }-\\frac{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}\\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma^2 \\,\\tau }\\right)}}{2\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} \\,{\\mathrm{e}}^{-r\\,\\tau } }{4\\,S\\,\\sigma \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,K\\,r\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} \\,{\\mathrm{e}}^{-r\\,\\tau } }{2\\,S\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} \\,{\\mathrm{e}}^{-r\\,\\tau } \\,{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}\\,{\\left(\\frac{\\sigma }{2\\,\\sqrt{\\tau }}+\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{2\\,\\sigma \\,\\tau^{3\/2} }-\\frac{\\frac{\\sigma^2 }{2}+r}{\\sigma \\,\\sqrt{\\tau }}\\right)}}{2\\,S\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}"}}
%---
%[output:068f07a2]
%   data: {"dataType":"text","outputData":{"text":"Put Delta (should be Delta_call - 1):\n","truncated":false}}
%---
%[output:01c18913]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"-\\frac{{\\mathrm{e}}^{-r\\,\\tau } \\,{\\left({\\mathrm{e}}^{r\\,\\tau } \\,\\textrm{erfc}\\left(\\frac{\\sqrt{2}\\,{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}{2\\,\\sigma \\,\\sqrt{\\tau }}\\right)-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{r\\,\\tau } \\,{\\mathrm{e}}^{-\\frac{{{\\left(\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}\\right)}}^2 }{2\\,\\sigma^2 \\,\\tau }} }{\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}+\\frac{\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\sigma \\,\\sqrt{\\tau }-\\frac{\\log \\left(\\frac{S}{K}\\right)+\\tau \\,{\\left(\\frac{\\sigma^2 }{2}+r\\right)}}{\\sigma \\,\\sqrt{\\tau }}\\right)}}^2 }{2}} }{S\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}\\right)}}{2}"}}
%---
%[output:5b9484bc]
%   data: {"dataType":"text","outputData":{"text":"Put Gamma (should equal call Gamma):\n","truncated":false}}
%---
%[output:70fccf8f]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"0"}}
%---
%[output:06b93edd]
%   data: {"dataType":"text","outputData":{"text":"Delta Taylor expansion around S = K (to 3rd order):\n","truncated":false}}
%---
%[output:7c42d904]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\mathrm{erf}\\left(\\frac{\\sqrt{2}\\,\\sqrt{\\tau }\\,{\\left(\\sigma^2 +2\\,r\\right)}}{4\\,\\sigma }\\right)}{2}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{\\tau \\,{{\\left(\\sigma^2 +2\\,r\\right)}}^2 }{8\\,\\sigma^2 }} \\,{\\left(K-S\\right)}}{2\\,K\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{\\tau \\,{{\\left(\\sigma^2 +2\\,r\\right)}}^2 }{8\\,\\sigma^2 }} \\,{{\\left(K-S\\right)}}^2 \\,{\\left(3\\,\\sigma^2 +2\\,r\\right)}}{8\\,K^2 \\,\\sigma^3 \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{\\tau \\,{{\\left(\\sigma^2 +2\\,r\\right)}}^2 }{8\\,\\sigma^2 }} \\,{{\\left(K-S\\right)}}^3 \\,{\\left(4\\,\\tau \\,r^2 +16\\,\\tau \\,r\\,\\sigma^2 +15\\,\\tau \\,\\sigma^4 -4\\,\\sigma^2 \\right)}}{48\\,K^3 \\,\\sigma^5 \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}+\\frac{1}{2}"}}
%---
%[output:5d5cdb33]
%   data: {"dataType":"text","outputData":{"text":"Gamma Taylor expansion around S = K (to 2nd order):\n","truncated":false}}
%---
%[output:376fb918]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{\\tau \\,{{\\left(\\sigma^2 +2\\,r\\right)}}^2 }{8\\,\\sigma^2 }} \\,{\\left(4\\,\\tau \\,K^2 \\,r^2 +24\\,\\tau \\,K^2 \\,r\\,\\sigma^2 +35\\,\\tau \\,K^2 \\,\\sigma^4 -4\\,K^2 \\,\\sigma^2 -8\\,\\tau \\,K\\,S\\,r^2 -40\\,\\tau \\,K\\,S\\,r\\,\\sigma^2 -42\\,\\tau \\,K\\,S\\,\\sigma^4 +8\\,K\\,S\\,\\sigma^2 +4\\,\\tau \\,S^2 \\,r^2 +16\\,\\tau \\,S^2 \\,r\\,\\sigma^2 +15\\,\\tau \\,S^2 \\,\\sigma^4 -4\\,S^2 \\,\\sigma^2 \\right)}}{16\\,K^3 \\,\\sigma^5 \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}"}}
%---
%[output:76c99b33]
%   data: {"dataType":"text","outputData":{"text":"ATM call price expansion in sigma (r=0, Brenner-Subrahmanyam):\n","truncated":false}}
%---
%[output:4cc18c7d]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\sqrt{2}\\,K\\,\\sigma \\,\\sqrt{\\tau }}{2\\,\\sqrt{\\pi }}"}}
%---
%[output:21b64291]
%   data: {"dataType":"text","outputData":{"text":"Digital call price (limit of call spread):\n","truncated":false}}
%---
%[output:0926c89b]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\sqrt{2}\\,S\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} }{2\\,K\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-{\\mathrm{e}}^{-r\\,\\tau } \\,{\\left(\\frac{\\mathrm{erf}\\left(\\frac{\\sqrt{2}\\,{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}{4\\,\\sigma \\,\\sqrt{\\tau }}\\right)}{2}+\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} }{2\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}-\\frac{1}{2}\\right)}"}}
%---
%[output:184bd595]
%   data: {"dataType":"text","outputData":{"text":"Difference from expected (should be 0):\n","truncated":false}}
%---
%[output:92806e0b]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\sqrt{2}\\,S\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} -\\sqrt{2}\\,K\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{\\mathrm{e}}^{-r\\,\\tau } }{2\\,K\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}"}}
%---
%[output:8077b539]
%   data: {"dataType":"text","outputData":{"text":"Digital Delta:\n","truncated":false}}
%---
%[output:643096a6]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} }{2\\,K\\,\\sigma \\,\\sqrt{\\tau }\\,\\sqrt{\\pi }}+\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-r\\,\\tau -\\frac{{{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}{4\\,S\\,\\sigma^3 \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}{4\\,K\\,\\sigma^3 \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}"}}
%---
%[output:2c605f7f]
%   data: {"dataType":"text","outputData":{"text":"Digital Gamma:\n","truncated":false}}
%---
%[output:3fb00f04]
%   data: {"dataType":"symbolic","outputData":{"name":"","value":"\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,K\\,S\\,\\sigma^5 \\,\\tau^{5\/2} \\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} }{2\\,K\\,S\\,\\sigma^3 \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-\\frac{{{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{\\left(\\tau \\,\\sigma^2 -2\\,\\log \\left(K\\right)+2\\,\\log \\left(S\\right)+2\\,r\\,\\tau \\right)}}{4\\,K\\,S\\,\\sigma^3 \\,\\tau^{3\/2} \\,\\sqrt{\\pi }}-\\frac{\\sqrt{2}\\,{\\mathrm{e}}^{-r\\,\\tau -\\frac{{{\\left(\\tau \\,\\sigma^2 +2\\,\\log \\left(K\\right)-2\\,\\log \\left(S\\right)-2\\,r\\,\\tau \\right)}}^2 }{8\\,\\sigma^2 \\,\\tau }} \\,{\\left(4\\,r^2 \\,\\tau^2 +\\sigma^4 \\,\\tau^2 +4\\,{\\log \\left(K\\right)}^2 +4\\,{\\log \\left(S\\right)}^2 -4\\,\\sigma^2 \\,\\tau -8\\,\\log \\left(K\\right)\\,\\log \\left(S\\right)+8\\,r\\,\\tau \\,\\log \\left(S\\right)+4\\,\\sigma^2 \\,\\tau \\,\\log \\left(S\\right)+4\\,r\\,\\sigma^2 \\,\\tau^2 -4\\,\\tau \\,\\log \\left(K\\right)\\,{\\left(\\sigma^2 +2\\,r\\right)}\\right)}}{8\\,S^2 \\,\\sigma^5 \\,\\tau^{5\/2} \\,\\sqrt{\\pi }}"}}
%---
%[output:6ca0cc1e]
%   data: {"dataType":"text","outputData":{"text":"Cross-Greek Jacobian structure (4x4):\n","truncated":false}}
%---
%[output:3888b220]
%   data: {"dataType":"text","outputData":{"text":"     4     4\n\n","truncated":false}}
%---
%[output:16a1ffba]
%   data: {"dataType":"text","outputData":{"text":"Generated: bsGreeks.m, bsGreeksSecondOrder.m, bsGreeksATM.m\n","truncated":false}}
%---
%[output:79df9a7a]
%   data: {"dataType":"image","outputData":{"dataUri":"data:image\/png;base64,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","height":337,"width":560}}
%---
%[output:83605ad8]
%   data: {"dataType":"image","outputData":{"dataUri":"data:image\/png;base64,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","height":337,"width":560}}
%---
%[output:009aa6e6]
%   data: {"dataType":"image","outputData":{"dataUri":"data:image\/png;base64,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","height":337,"width":560}}
%---
%[output:755ad06d]
%   data: {"dataType":"text","outputData":{"text":"Validation: Symbolic vs Financial Toolbox (S=4500, K=4500, r=0.045, sigma=0.18, tau=0.5)\n","truncated":false}}
%---
%[output:9b323e0d]
%   data: {"dataType":"text","outputData":{"text":"  Greek         Symbolic   Fin Toolbox        |Diff|\n","truncated":false}}
%---
%[output:4fe30efd]
%   data: {"dataType":"text","outputData":{"text":"  Price       279.376256    279.376256      4.55e-13\n","truncated":false}}
%---
%[output:42b77f69]
%   data: {"dataType":"text","outputData":{"text":"  Delta       0.59499623    0.59499623      5.55e-16\n","truncated":false}}
%---
%[output:85fc8557]
%   data: {"dataType":"text","outputData":{"text":"  Gamma       0.00067669    0.00067669      5.42e-19\n","truncated":false}}
%---
%[output:0f92d6bc]
%   data: {"dataType":"text","outputData":{"text":"  Vega       1233.265184   1233.265184      0.00e+00\n","truncated":false}}
%---
%[output:0a2fbc47]
%   data: {"dataType":"text","outputData":{"text":"  Theta      -329.902538   -329.902538      5.68e-14\n","truncated":false}}
%---
%[output:4dd4023f]
%   data: {"dataType":"text","outputData":{"text":"  Rho        1199.053391   1199.053391      6.82e-13\n","truncated":false}}
%---
%[output:13a1c404]
%   data: {"dataType":"image","outputData":{"dataUri":"data:image\/png;base64,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","height":337,"width":560}}
%---
%[output:3ebdc253]
%   data: {"dataType":"text","outputData":{"text":"Exact Greeks:         0.0173 s  (50000 evaluations)\n","truncated":false}}
%---
%[output:86d38471]
%   data: {"dataType":"text","outputData":{"text":"Bump-and-revalue:     0.0127 s  (50000 evaluations, 2 reprices per Greek)\n","truncated":false}}
%---
%[output:14a534da]
%   data: {"dataType":"text","outputData":{"text":"Max |delta_exact - delta_bump|: 3.09e-04  (bump noise)\n","truncated":false}}
%---