Exchange Contract Parameters
Payoff: max(S₁ - S₂, 0)Asset 1 (Acquired Asset S₁)
Asset 2 (Delivered Asset S₂ / Strike)
Cross-Asset Joint Dynamics
Analytical Formula Breakdown
| Margrabe Option Value | $14.285 |
| Intrinsic Spread max(S₁ - S₂, 0) | $0.0000 |
| Time Value Component | $14.285 |
| Combined Volatility (σ̂) | 36.19% |
| d₁ / d₂ Coordinates | d₁: 0.1809 | d₂: -0.1809 |
| N(d₁) / N(d₂) Probabilities | N(d₁): 0.5718 | N(d₂): 0.4282 |
| Discounted Asset Values | S₁e⁻ᑫᵀ: $100.00 | S₂e⁻ᑫᵀ: $100.00 |
| Risk-Neutral ITM Probability | 42.82% |
| Euler Identity: S₁Δ₁ + S₂Δ₂ | $14.285 (Exact match) |
Cross-Asset Sensitivities & Greeks
Sensitivity 1: S₁ vs S₂ on Exchange Value
Sensitivity 2: Correlation (ρ) vs Expiry (T)
Institutional Framework: William Margrabe's (1978) Model
1. Foundation: The Option to Exchange One Asset for Another
Published in the Journal of Finance (1978), William Margrabe solved the valuation of a contract granting the holder the right to surrender asset 2 to acquire asset 1 at expiration date $T$:
Unlike the standard Black-Scholes model where the strike price $K$ is a deterministic, constant cash amount, Margrabe allows the strike itself to be a stochastic asset $S_2(t)$. Both asset prices follow correlated geometric Brownian motions:
dS₂/S₂ = (μ₂ - q₂)dt + σ₂ dW₂, with Corr(dW₁, dW₂) = ρ dt
2. Change of Numeraire & Closed-Form Formula
By using $S_2(t)$ as the stochastic numeraire instead of the money market account, the relative price $Z(t) = S_1(t) / S_2(t)$ becomes a martingale under the $S_2$-measure with volatility equal to the combined spread volatility:
Under this measure, the contract is identical to a standard European call on $Z(t)$ with a fixed strike of $1.0$, yielding the exact closed form:
d₁ = [ln(S₁/S₂) + (q₂ - q₁ + ½σ̂²)T] / (σ̂√T)
d₂ = d₁ - σ̂√T
3. Euler's Homogeneity Identity & Cross-Greeks
Because the pricing function is linearly homogeneous of degree 1 with respect to $(S_1, S_2)$—i.e., $C(\lambda S_1, \lambda S_2) = \lambda C(S_1, S_2)$—Euler's homogeneous function theorem guarantees:
Where the cross-asset Greeks exhibit remarkable symmetry:
- Delta 1 (Δ₁): $e^{-q_1 T} N(d_1) > 0$ (long underlying asset 1).
- Delta 2 (Δ₂): $-e^{-q_2 T} N(d_2) < 0$ (short deliverable asset 2).
- Cross-Gamma (Γ₁₂): $\frac{\partial^2 C}{\partial S_1 \partial S_2} = -\frac{e^{-q_1 T} n(d_1)}{S_2 \hat{\sigma} \sqrt{T}} < 0$.
- Correlation Greek: $\frac{\partial C}{\partial \rho} = -\frac{S_1 e^{-q_1 T} n(d_1) \sqrt{T} \sigma_1 \sigma_2}{\hat{\sigma}} < 0$.
4. Industry Applications: Spark Spreads & M&A
Merchant Power Plants (Spark Spread): The option to convert fuel into electricity is modeled as a Margrabe option where $S_1 = \text{Electricity Price}$ and $S_2 = \text{Heat Rate} \times \text{Natural Gas Price}$. A plant operates only when the spark spread is positive.
M&A Takeover Collars & Stock Swaps: Valuing stock-for-stock exchange ratios where an acquiring company's shares are swapped for target company shares at closing.
Exchange Option Mastery Quiz
UnsubmittedFrequently Asked Questions
Explore Related Quantitative Finance & Derivatives Labs
Lookback Option Pricing Lab
Model floating and fixed strike lookbacks, extrema path dependency, and Broadie-Glasserman-Kou corrections.
Compound Option Pricing Lab
Model options on options (Geske 1979), critical asset boundary S*, and staged real options valuation.
Barrier Option Pricing Lab
Model single barrier knock-in & knock-out exotic options, in-out parity, and pin risk.
Black-76 Futures Option Lab
Model options on futures, commodity forwards, interest rate caplets, and swaptions.
Bjerksund-Stensland Lab
Closed-form flat boundary approximation for American commodity and equity options.
Black-Scholes Options Lab
Evaluate classic lognormal option pricing, Greeks sensitivity surfaces, and implied volatility root-finding.