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WSU Lexicon: Derivatives
Delta measures the sensitivity of an option's price to a small change in the price of the underlying asset. Call deltas range from 0 to +1, put deltas from -1 to 0, and an at-the-money option sits near 0.5 in absolute value. It is the slope of the option value curve.
Delta is the primary input for constructing delta-neutral hedges; gamma measures how delta itself changes.
The entry
Option value plotted against the underlying price is a curve, not a line, and delta is the tangent to that curve at the current spot price. Because the curve is convex for long positions, the slope itself changes as spot moves, which is why delta is only valid locally.
In the Black-Scholes-Merton framework, the call delta equals the standard normal cumulative distribution evaluated at d1, so it is bounded strictly between zero and one. Put-call parity fixes the relationship between the two: the put delta equals the call delta minus one, which is why put deltas are negative. Moneyness drives the level. Deep in-the-money calls behave almost like the underlying itself and carry delta near one; deep out-of-the-money calls barely respond at all. Time also matters, as an in-the-money option's delta drifts toward one as expiry approaches while an out-of-the-money option's delta collapses toward zero.
The entry
Delta doubles as a hedge ratio. To neutralise the directional exposure of a short call position on a single share-equivalent, the hedger holds long shares equal to the option's delta multiplied by the contract multiplier and number of contracts. The combined position has, momentarily, zero first-order sensitivity to the underlying.
In a one-period binomial model the hedge ratio is derived directly: divide the difference between the option payoffs in the up and down states by the difference between the underlying prices in those two states. That ratio replicates the option with shares and borrowing, which is the same no-arbitrage logic that produces the continuous-time delta.
Neutrality is instantaneous rather than durable. Gamma measures how fast delta moves, so a long-gamma hedger sells into rallies and buys into declines, while a short-gamma hedger must chase the market. Transaction costs make continuous rebalancing impossible in practice, so desks rebalance on price or time triggers.
The entry
Delta is additive within a single underlying, which makes it the working unit of risk on derivatives desks. A book holding hundreds of strikes and expiries is summarised as one net delta figure, often expressed as delta-adjusted notional or share equivalents, and traders manage that single number intraday. Forwards, futures and total-return swaps carry a delta of approximately one per unit of notional, which is where the term delta-one trading originates.
The same measure appears in risk disclosures and regulatory capital calculations, where option positions are translated into equivalent underlying exposure before market-risk charges are applied. It also drives observable market behaviour: concentrated dealer hedging of large option open interest can amplify moves in the underlying, particularly near major expiry dates when strike concentrations sit close to spot.
The entry
Candidates should be able to state the sign and bounds for calls and puts, explain how delta shifts with moneyness, time to expiry and volatility, and identify at-the-money options as the region where delta changes fastest. Given a delta, compute the number of underlying units needed to neutralise a stated option position, and compute the hedge ratio from a two-state binomial tree.
Equally important is the conceptual placement of delta within the Greeks. Delta is the first derivative with respect to price, gamma the second, vega the sensitivity to volatility and theta the sensitivity to time. A first-order hedge leaves curvature risk unhedged, which is why large moves break a delta hedge even when the hedger rebalances diligently. Expect questions that test whether you recognise delta as an approximation valid only for small changes.
Common trap
Delta only approximates that probability. In the Black–Scholes framework the risk-neutral probability of finishing in the money is N(d2), while a call's delta is N(d1). The two differ, and the gap widens with volatility and time to expiry.
In practice
Market makers who sold heavy retail call volume in GameStop held negative delta and bought shares to hedge. As the stock rose, deltas increased, forcing further buying: a feedback loop widely described as a gamma squeeze driven by delta rebalancing.
Candidates ask
See also
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