Lookback Option Pricing & Extrema Simulation Lab
Goldman-Sosin-Gatto (1979) Floating Strike & Conze-Viswanathan (1991) Fixed Strike Closed Forms with Discrete Monitoring Adjustments
Contract & Market Parameters
Institutional Pricing & Extrema Decomposition
Floating Strike Call| Component | Lookback Model | Vanilla European | Intrinsic Payoff | Variance / Markup |
|---|---|---|---|---|
| Option Theoretical Price | $11.95 | $6.89 | $0.00 | +73.5% |
| Cost of Carry ($b = r - q$) | +5.00% | Discrete Monitoring Bias | -0.45 ($11.50) | |
| Extremum Watermark State | S_min = $100.00 (At the Money) | Time Value Share | 100.0% | |
Lookback Option Sensitivities (Greeks)
Spot ($S$) vs. Volatility ($\sigma$)
Maturity ($T$) vs. Extremum ($S_{\text{ext}}$)
Quantitative Mechanics of Lookback Options
1. Floating Strike: "Buy at Low, Sell at High"
Formulated by M.B. Goldman, H.B. Sosin, and M.A. Gatto (1979), floating strike lookbacks allow the investor to acquire the asset at the lowest observed price during the option's life (Call: payoff = $S_T - S_{\min}$) or sell at the highest observed price (Put: payoff = $S_{\max} - S_T$).
Because the terminal spot price $S_T$ is mathematically guaranteed to be greater than or equal to the minimum price $S_{\min}$, a floating-strike call never expires worthless unless the underlying asset remains strictly flat ($S_T = S_{\min}$). It acts as a perfect market timing vehicle.
2. Fixed Strike: Conze & Viswanathan (1991) Model
Derived by Antoine Conze and R. Viswanathan (1991), fixed strike lookbacks maintain a pre-specified strike $K$ while replacing terminal spot with the running extremum. The call payoff is $\max(S_{\max} - K, 0)$, and the put payoff is $\max(K - S_{\min}, 0)$.
Fixed-strike lookbacks provide complete downside protection while capturing the single best peak price during the holding period. Corporate executives and M&A acquirers frequently structure structured notes around fixed-strike lookbacks to guarantee top-of-cycle exit multiples.
3. The Reflection Principle & Extrema Drift
Under Geometric Brownian Motion $dS_t = b S_t dt + \sigma S_t dW_t$, the joint probability distribution of the terminal price $S_T$ and the running maximum $M_T = \max_{0 \le t \le T} S_t$ is derived using the Reflection Principle of Brownian motion.
The analytical formulas introduce power terms $(S/H)^{-\lambda}$ where $\lambda = \frac{2b}{\sigma^2}$. When carrying cost $b = r - q \ne 0$, the drift rotates the path probability density, pulling the expected extremum away from the driftless martingale path.
4. Broadie-Glasserman-Kou Discrete Monitoring Bias
Continuous analytical models assume the asset price is monitored every millisecond. Real-world OTC and exchange contracts fix extrema once daily at the official market close ($N = 252$ trading days).
Discrete monitoring under-samples peaks and over-samples troughs. By Broadie, Glasserman & Kou (1999), the continuous formula accurately prices discrete contracts when the extremum boundary $H$ is shifted by $H_{\text{eff}} = H e^{\pm \beta_1 \sigma \sqrt{\Delta t}}$, where $\beta_1 = -\frac{\zeta(1/2)}{\sqrt{2\pi}} \approx 0.5826$.
Lookback Option Mastery Quiz
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