Options Pricing & Greeks
An option's price is the cost of the portfolio that replicates it — no more, no less. Black-Scholes makes that idea concrete under a few assumptions, and the Greeks are simply the price's sensitivities to the things that move. Interviews want the intuition (replication, hedging, risk-neutral pricing), not a memorised PDE.
Why this matters in interviews
- Pricing a vanilla and explaining its Greeks is the canonical options warm-up for trading and dev seats.
- The Greeks are the language desks use to talk about risk all day.
- Confusing the real-world and risk-neutral measures is the single most-watched-for error.
Core intuition
No-arbitrage + replication: if you can build a portfolio that pays exactly the option's payoff in every state, the option must cost what that portfolio costs — otherwise there's free money. Pricing is a hedging argument in disguise.
Risk-neutral pricing: under the risk-neutral measure every asset drifts at the risk-free rate, and the price is the discounted expected payoff. The real-world drift μ never enters the price — it's a forecasting quantity, not a pricing one.
The Greeks are derivatives of the price: delta w.r.t. spot, gamma w.r.t. delta, vega w.r.t. vol, theta w.r.t. time. A market maker is paid theta for carrying gamma and hedges delta to stay neutral.
Key ideas & definitions
- Replication / hedging
- Build the payoff from stock + bond (or other options); the price is the build cost.
- Risk-neutral measure (Q)
- The pricing measure where drift = r; price = e^(−rT)·E_Q[payoff].
- Delta (Δ)
- ∂Price/∂Spot. For a call, N(d1). The hedge ratio.
- Gamma (Γ)
- ∂Δ/∂Spot. Largest at-the-money; it's the cost/benefit of re-hedging.
- Vega
- ∂Price/∂Vol. Largest for longer-dated, near-the-money options.
- Theta (Θ)
- ∂Price/∂Time. Usually negative for a long option — the price of holding optionality.
Key formulas & relationships
Model-free: a pure no-arbitrage relation, true regardless of Black-Scholes.
n(·) is the normal pdf.
Worked reasoning
Why is gamma highest at the money, and why does a market maker care?
- 01Delta swings from ~0 (deep OTM) to ~1 (deep ITM); the steepest part of that S-curve is at the money.
- 02Gamma is the slope of delta, so it peaks ATM and decays in the wings.
- 03High gamma means your delta hedge goes stale fast — you re-hedge more often, paying the bid-ask each time. That cost is what theta compensates.
Common mistakes & misconceptions
- Using the real-world drift μ to price instead of r (the risk-neutral drift).
- Forgetting to discount the strike (the e^(−rT) factor).
- Calling delta 'the probability of finishing in the money' — that's closer to N(d2), and only under Q.
- Quoting vega per 100% vol move without stating the per-point convention.
In interview terms
- Lead with replication/no-arbitrage — it shows you understand why the formula is true.
- Keep the two measures straight: r prices, μ forecasts.
- Talk about the Greeks as a hedger would: delta to stay neutral, gamma/theta as the trade-off.
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