Jump-diffusion option pricing
In a Black-Scholes setting, two assets share the same volatility but have distinct drifts under the real-world measure. Compare the prices of European calls written on these assets. Now suppose one of the underlying assets is also subject to random downward jumps. How does this affect the comparison?
High-level idea
In the Black–Scholes model, the price of a European call depends only on the risk‑free rate and volatility, not on the real‑world drift. Hence two assets with the same current price, volatility, strike, maturity, and risk‑free rate have identical European call prices, regardless of their real‑world drifts.
When one asset is also subject to random downward jumps, the comparison changes — but not in the direction naive intuition suggests. Under the risk‑neutral measure the jumps must be compensated by extra drift between jumps so that the forward price is unchanged. The compensated jumps therefore act as a mean‑preserving spread of the terminal price, and the call payoff is convex, so by Jensen's inequality the call on the jump‑exposed asset is more expensive than the call on the pure‑diffusion asset.
Derivation
1. Pure diffusion (no jumps)
Under the risk‑neutral measure the asset follows
so that
The European call price is
with
The formula contains and but no real‑world drift . Therefore, if two assets share the same , , , , and , their European call prices are identical — distinct real‑world drifts are irrelevant.
2. Adding random downward jumps to one asset
Now let one asset follow a jump‑diffusion (Merton 1976). Under a suitable risk‑neutral measure its dynamics are
where is a Poisson process with intensity , is the downward jump multiplier, and is the compensator that keeps the expected instantaneous return equal to . For downward jumps , so the drift between jumps is raised above : the compensation exactly offsets the jumps and preserves the forward, for both assets.
Solving the SDE, the terminal price factorizes as
where is the pure‑diffusion terminal price and is an independent jump factor with . Conditioning on and applying Jensen's inequality to the convex payoff ,
Taking expectations and discounting shows the jump‑exposed call is worth at least as much for every strike — and strictly more whenever the jumps are genuinely random. Equivalently: at the same forward, the jumps add total risk‑neutral variance, and extra dispersion always benefits a convex payoff (a mean‑preserving spread raises the value of a convex function's expectation).
The tempting argument that "downward jumps create negative skew and therefore depress the call" is wrong because it ignores the compensator: between jumps the asset drifts upward faster than , and through the convexity of the payoff this more than makes up for the heavier left tail.
As a numerical check, with , , , , , and jump multiplier , Monte Carlo gives a jump‑diffusion call price of about versus a Black–Scholes price of about .
Consequently, the call on the asset with random downward jumps is more expensive than the call on the pure‑diffusion asset.
Final answer
Without jumps the two European calls have the same price. When one asset is also subject to random downward jumps (compensated under the risk‑neutral measure so the forward is unchanged), its call becomes more expensive than the call on the pure‑diffusion asset: the jumps act as a mean‑preserving spread of the terminal price, and the call payoff is convex.