Part V · Options · Chapter 5C

The Greeks

Delta, gamma, theta, vega and rho

Where we are

Chapter 5B split an option's price into intrinsic and extrinsic value at one moment. This chapter asks how that price moves when its inputs move: the underlying, time, volatility and interest rates. The answers are the five Greeks, the language in which dealers (Part VI) and the rest of this book measure option risk.

What you need first
  • Calls, puts, moneyness and the contract multiplier (Chapter 5A), and intrinsic and extrinsic value (Chapter 5B).
  • The normal curve and areas under it (Chapter 1B), and the standard normal distribution function (Chapter 1D).
  • Natural logarithms, and the Taylor series that approximates a curve near a point (Chapter 1A).
  • Volatility as the annualized standard deviation of log returns (Chapter 1A).

The Greeks are the language of risk in options trading. Each Greek measures how an option's price changes when one specific input moves, holding the others constant, so the Greeks are sensitivities rather than predictions. A skilled trader uses them like the gauges on a car's dashboard, not to predict the road but to understand how the vehicle responds to its inputs.

Key idea

Greeks do not give you edge. Edge is having a better forecast of volatility than the market has priced in. Greeks describe the vehicle you have chosen to express that forecast.

The five primary Greeks at a glance:

GreekSymbolRate of change of the option's value withWhat it measures
DeltaΔ\Deltaspotdirectional exposure
GammaΓ\Gammaspot, of delta itselfcurvature (convexity): how delta changes
ThetaΘ\Thetatimetime decay
Vegaν\nuimplied volatilityvolatility sensitivity
Rhowritten as a wordthe interest rateinterest rate sensitivity

1 · A Greek is a rate of change

Each Greek is a rate: how many dollars the option's value VV moves per unit of one input. For a straight line that rate is the slope, the rise over the run, and it is the same everywhere. An option's value curves, so its slope differs from point to point. The slope at a single point comes from steps that shrink toward zero:

∂V∂S=lim⁡h→0V(S+h)−V(S)h \frac{\partial V}{\partial S} = \lim_{h \to 0} \frac{V(S + h) - V(S)}{h} (5C.1)

Read lim⁡h→0\lim_{h \to 0} as "the value the ratio settles on as the step hh shrinks toward zero". The result is the derivative of VV with respect to SS. The curly ∂\partial marks a partial derivative. The value also depends on time, volatility and the interest rate. A partial derivative moves SS alone while it holds all of those fixed.

Worked example: Delta from shrinking steps

Step 1: the reference option. Most numbers in this chapter come from one call, the starting setting of the simulator below: spot S=100S = 100, strike K=100K = 100, 30 days to expiry, 25% implied volatility, a 4% interest rate and no dividend. The Black-Scholes model values it at $3.021 a share.

Step 2: take shrinking steps. Reprice the call with spot a little higher and divide the change in value by the step, as in (5C.1):

Step hhValue at 100+h100 + hChange ÷ step
$1.00$3.58120.5601
$0.10$3.07470.5353
$0.01$3.02650.5328

Step 3: read off the limit. The ratios settle on 0.5326, which is the call's delta. Near spot 100, its value rises about 53 cents for each dollar that the underlying rises.

The $1 step overstates the slope because the value curve bends upward, so its slope grows as spot rises. The rate at which a slope itself changes is a second derivative, written ∂2V/∂S2\partial^2 V/\partial S^2. For the option's value, the second derivative with respect to spot is gamma.

Together, the first two derivatives approximate the change in value for any modest move ΔS\Delta S in spot. This is the Taylor-series idea that Chapter 1A used to approximate ln⁡(1+x)\ln(1 + x) by x−x2/2x - x^2/2:

ΔV≈Δ⋅ΔS+12 Γ (ΔS)2 \Delta V \approx \Delta \cdot \Delta S + \tfrac12\,\Gamma\,(\Delta S)^2 (5C.2)

The symbol Δ\Delta does two jobs here, as it does in the figures. On its own it is the Greek delta, and in front of a letter it means "the change in".

Familiar ground

A partial derivative is the adjusted effect you know from a multivariable model. In a Cox model, the coefficient on one covariate is the change in the log hazard per unit of that covariate, with every other covariate held fixed. Each Greek is the same kind of number: the change in an option's value per unit of one input, with the others held fixed. The difference is that a Cox coefficient is one number for every patient, while an option's sensitivities change with where the inputs stand. That is why delta has a gamma.

2 · The Black-Scholes formula

The Greeks are derivatives of the Black-Scholes price, which Chapter 7A derives and Chapter 6B unpacks. For now, treat the formula as a black box whose inputs you know:

  • Spot and strike: SS is the price of the underlying and KK the strike.
  • Time: TT is the time to expiry in years, so that 30 days is 30/365=0.082230/365 = 0.0822.
  • Volatility: σ\sigma is the implied volatility as a decimal, 0.25 for 25% (Chapter 5E).
  • Rates: rr is the risk-free interest rate and qq the dividend yield, both as decimals.

Two numbers carry most of the work:

d1=ln⁡(S/K)+(r−q+12σ2) TσT d_1 = \frac{\ln(S/K) + (r - q + \tfrac12 \sigma^2)\,T}{\sigma \sqrt{T}} (5C.3)
d2=d1−σT d_2 = d_1 - \sigma\sqrt{T} (5C.4)

Two functions of the standard normal curve turn them into prices. The first, N(x)N(x), is the standard normal distribution function, also called the cumulative distribution function (CDF): the area under the curve to the left of xx. The second, φ(x)\varphi(x), is the curve's height at xx, equal to e−x2/2/2πe^{-x^2/2}/\sqrt{2\pi}. At zero they take the values N(0)=0.5N(0) = 0.5 and φ(0)=0.399\varphi(0) = 0.399. With them, the Black-Scholes values of a call and a put are

Vcall=Se−qTN(d1)−Ke−rTN(d2) \begin{aligned} V_{\text{call}} &= S e^{-qT} N(d_1) \\ &\quad - K e^{-rT} N(d_2) \end{aligned} (5C.5)
Vput=Ke−rTN(−d2)−Se−qTN(−d1) \begin{aligned} V_{\text{put}} &= K e^{-rT} N(-d_2) \\ &\quad - S e^{-qT} N(-d_1) \end{aligned} (5C.6)
Worked example: Pricing the reference call

Step 1: the time terms. Thirty days is T=0.08219T = 0.08219 of a year, so T=0.28669\sqrt{T} = 0.28669 and σT=0.25×0.28669=0.07167\sigma\sqrt{T} = 0.25 \times 0.28669 = 0.07167.

Step 2: the two d's. Since spot equals the strike, ln⁡(S/K)=0\ln(S/K) = 0, and (5C.3) leaves d1=(0.04+0.03125)×0.08219/0.07167=0.0817d_1 = (0.04 + 0.03125) \times 0.08219 / 0.07167 = 0.0817. Then (5C.4) gives d2=0.0817−0.0717=0.0100d_2 = 0.0817 - 0.0717 = 0.0100.

Step 3: the normal curve. From a table or a spreadsheet, N(0.0817)=0.53256N(0.0817) = 0.53256, N(0.0100)=0.50399N(0.0100) = 0.50399 and φ(0.0817)=0.3976\varphi(0.0817) = 0.3976.

Step 4: the price. With the discount factor e−rT=0.99672e^{-rT} = 0.99672, (5C.5) gives 100×0.53256−100×0.99672×0.50399=3.02100 \times 0.53256 - 100 \times 0.99672 \times 0.50399 = 3.02. The call costs $3.02 a share, or $302 a contract.

3 · Delta: direction

Delta is the change in an option's value for a $1 rise in the underlying, with everything else held fixed. Written as a derivative, it is the slope of the value curve against spot:

Δ=∂V∂S \Delta = \frac{\partial V}{\partial S} (5C.7)

If the underlying moves up by a dollar, the option moves by approximately delta dollars. A call's delta lies between 0 and 1, and a put's between −1 and 0. Deep in-the-money options have delta close to ±1 and behave almost like the underlying itself. Deep out-of-the-money (OTM) options have delta close to 0 and barely react. At-the-money (ATM) options have delta near ±0.5. For a European option, Black-Scholes gives the two deltas as

Δcall=e−qT N(d1)Δput=−e−qT (1−N(d1)) \begin{aligned} \Delta_{\text{call}} &= e^{-qT}\, N(d_1) \\ \Delta_{\text{put}} &= -e^{-qT}\,\bigl(1 - N(d_1)\bigr) \end{aligned} (5C.8)

For the reference option, the call's delta is N(0.0817)=0.533N(0.0817) = 0.533 and the put's is −(1−0.533)=−0.467-(1 - 0.533) = -0.467. A $1 rise in spot adds about $0.53 a share to the call, which is $53 a contract, and takes about $0.47 a share from the put.

Delta as a hedge ratio

Delta is the hedge ratio: the number of shares per contract, divided by 100, that neutralizes the option's first-order exposure to spot. The operative reading is share-equivalent exposure, so a 0.50-delta call contract behaves like 50 shares of the underlying, delta times the multiplier of 100. A dealer who has sold that call hedges by buying 50 share-equivalents of the underlying, as Chapter 6C shows. This share-equivalent reading is what makes delta hedging mechanically possible.

Delta is not a probability

N(d1)N(d_1) has a geometric reading as a probability, but an unusual one. It is the chance of finishing in the money under a share-numeraire measure, a way of weighting the outcomes that counts each by the price of the underlying in it. It is not the standard risk-neutral probability of finishing in the money: the probability that option prices imply when every asset is assumed to grow at the risk-free rate. For a call, that probability is N(d2)=N(d1−σT)N(d_2) = N(d_1 - \sigma\sqrt{T}).

Because d2d_2 sits exactly σT\sigma\sqrt{T} below d1d_1, a call's N(d2)N(d_2) is smaller than N(d1)N(d_1) by approximately φ(d1) σT\varphi(d_1)\,\sigma\sqrt{T}, which is about 0.4 σT0.4\,\sigma\sqrt{T} near the money. For the reference call the gap is 0.5326−0.5040=0.02860.5326 - 0.5040 = 0.0286, close to 0.3976×0.0717=0.02850.3976 \times 0.0717 = 0.0285. For a put the order reverses: its chance of finishing in the money, 1−N(d2)1 - N(d_2), is larger than its delta suggests.

The retail convention conflates the two, and traders say that "30-delta puts have a 30% chance of being assigned". That is informally close to right for short-dated, near-the-money options, but it is technically incorrect. The gap is a percentage point or two there, and it grows with volatility and time:

30-delta SPX option, 20% IVChance of finishing in the money
Put, 30 days to expiry32%
Call, 30 days to expiry28%
Put, 365 days to expiry38%
Call, 365 days to expiry24%

The table assumes spot at 6,000, a 4% rate and a 1.5% dividend yield. Even these chances are risk-neutral ones, a pricing device rather than a forecast of what the index does (Chapter 7A). The reliable interpretation of delta is mechanical, as a hedge ratio, not probabilistic.

QuantityFormulaMeaning
N(d2)N(d_2)N(d1−σT)N(d_1 - \sigma\sqrt{T})Standard risk-neutral probability of a call finishing ITM
N(d1)N(d_1)from Black-ScholesShare-numeraire probability
Call deltae−qTN(d1)e^{-qT} N(d_1)Hedge ratio (shares per contract ÷ 100)
Put delta−e−qT(1−N(d1))-e^{-qT}(1 - N(d_1))Hedge ratio (negative)

When traders say "30-delta", they mean a hedge ratio of 0.30, whatever it is informally called.

Familiar ground

N(d1)N(d_1) and N(d2)N(d_2) are two probabilities of one event, finishing in the money, under two weightings. You know the pattern from screening, where tumors found at a screen over-represent slow-growing ones: a tumor's chance of being caught grows with how long it stays detectable. The function N(d1)N(d_1) has its own length bias. It weights each final price by the size of that price, so it over-represents the high outcomes, where a call finishes in the money. That is why N(d1)N(d_1) exceeds N(d2)N(d_2), and why a call's delta overstates its risk-neutral chance of finishing in the money.

The probability map draws the standard normal curve with d1d_1 and d2d_2 marked, σT\sigma\sqrt{T} apart. Its shaded area is the risk-neutral probability of finishing in the money: the area left of d2d_2 for a call, which is N(d2)N(d_2), and right of it for a put. It opens on an at-the-money SPX call with spot and strike at 6,000, 30 days to expiry, 20% IV, a 4% rate and a 1.5% dividend yield. The table reads N(d1)=0.5257N(d_1) = 0.5257, a delta of 0.5251 and N(d2)=0.5029N(d_2) = 0.5029, so delta exceeds the probability by 0.022. Drag the days to expiry toward 365, or raise the IV, and then switch to the put.

6000
6000
30d
20%
4.0%
1.50%
QuantityValueMeaning
N(d₁)0.5257share-numeraire probability
Call Δ = e^(−qT)·N(d₁)0.5251hedge ratio (shares per contract ÷ 100)
N(d₂) = P(ITM)0.5029risk-neutral ITM probability
|Δ| − P(ITM) = +0.0222
absolute gap = 0.0222

|Δ| exceeds P(ITM) by a meaningful margin. Reading delta as the probability of finishing in the money loses accuracy as σ√T, the distance from d₁ down to d₂, grows with vol and time.

N(d₁), delta and N(d₂) are three different numbers. The standard normal density with d₁ and d₂ marked, σ√T apart; the shaded area is the risk-neutral probability of finishing in the money, N(d₂) for a call and 1 − N(d₂) for a put. The table sets it beside N(d₁) and the delta, the hedge ratio. Lengthen the time to expiry or raise the IV and the gap between |Δ| and P(ITM) opens.

As σT\sigma\sqrt{T} grows, d1d_1 and d2d_2 spread apart and the gap opens. At 365 days the call's delta is 0.580 against a 0.510 chance of finishing in the money. For the put, the readout reports that ∣Δ∣|\Delta| falls short of the probability instead of exceeding it. Throughout, the call's delta sits slightly below N(d1)N(d_1) because of the dividend factor e−qTe^{-qT}.

4 · Gamma: curvature

Gamma is the change in delta for a $1 rise in the underlying. It is the second derivative of the option's value with respect to spot, or equivalently the first derivative of delta:

Γ=∂2V∂S2=∂Δ∂S \Gamma = \frac{\partial^2 V}{\partial S^2} = \frac{\partial \Delta}{\partial S} (5C.9)

Positive gamma is favorable for long option holders, because directional exposure accelerates in the right direction as the underlying moves. If you are long a call and the underlying rises, your delta increases, so you take part in further upside faster. Negative gamma is unfavorable: short option holders see their delta move against them as the underlying moves. Black-Scholes gives gamma as a ratio with the bell curve's height on top:

Γ=e−qT φ(d1)S σT \Gamma = \frac{e^{-qT}\, \varphi(d_1)}{S\, \sigma \sqrt{T}} (5C.10)

Here φ\varphi is the height of the bell curve, not the area under it. For the reference option, Γ=0.3976/(100×0.25×0.28669)=0.0555\Gamma = 0.3976/(100 \times 0.25 \times 0.28669) = 0.0555, so a $1 rise in spot lifts the call's delta from 0.533 to about 0.588.

Three features of this formula matter:

  1. Gamma is the same for a call and a put with the same strike, which put-call parity (Chapter 5F) ensures. By (5C.8), the call's delta minus the put's is e−qTe^{-qT}, which does not depend on spot, so the two deltas change with spot at the same rate.
  2. Gamma is maximized at the money, because the density φ(d1)\varphi(d_1) peaks when d1=0d_1 = 0, which happens approximately when spot equals the strike.
  3. Gamma is proportional to 1/T1/\sqrt{T} at the money, where φ(d1)\varphi(d_1) stays near 0.4. As time to expiry shrinks toward zero, at-the-money gamma diverges to infinity. Cutting the time to a quarter doubles gamma, while going from 30 days to 1 day multiplies it by 30≈5.5\sqrt{30} \approx 5.5.

The 1/T1/\sqrt{T} divergence is not a mathematical curiosity. It is the dominant feature of modern intraday microstructure, because 0DTE options live exactly in this regime (Chapters 6D and 9B).

5 · Theta: time

Theta is the change in an option's value as time passes, with everything else held fixed. Write tt for calendar time, which moves forward as the time to expiry TT shrinks by the same amount, so that

Θ=∂V∂t=−∂V∂T \Theta = \frac{\partial V}{\partial t} = -\frac{\partial V}{\partial T} (5C.11)

The formula gives theta per year, and trading screens show it per calendar day, divided by 365. Theta then measures the daily P&L from one calendar day passing, all else constant. Long options have negative theta: every day, all else equal, the option loses value as its remaining time shrinks. Short options have positive theta: every day, the writer accrues a positive bookkeeping gain as the time value decays.

The Black-Scholes formula for theta is messier than the others, with different forms for calls and puts and an extra term when there are dividends. With no dividend, the two are

Θcall=−S φ(d1) σ2T−rKe−rTN(d2)Θput=−S φ(d1) σ2T+rKe−rTN(−d2) \begin{aligned} \Theta_{\text{call}} &= -\frac{S\,\varphi(d_1)\,\sigma}{2\sqrt{T}} \\ &\quad - rKe^{-rT}N(d_2) \\ \Theta_{\text{put}} &= -\frac{S\,\varphi(d_1)\,\sigma}{2\sqrt{T}} \\ &\quad + rKe^{-rT}N(-d_2) \end{aligned} (5C.12)

For the reference call, the first term is −(100×0.3976×0.25)/(2×0.28669)=−17.34-(100 \times 0.3976 \times 0.25)/(2 \times 0.28669) = -17.34 a year, and the interest term is −0.04×100×0.99672×0.5040=−2.01-0.04 \times 100 \times 0.99672 \times 0.5040 = -2.01 a year. Their sum, −19.35-19.35 a year, comes to −0.053-0.053 a day once divided by 365. The call loses about 5.3 cents a share, $5.30 a contract, for each day that passes with nothing else changing. Repricing it with 29 days left instead of 30 gives a fall of 5.34 cents, which agrees.

The structure is the same for calls and puts. Theta is negative for long positions, positive for short ones and largest in size at the money. It grows like 1/T1/\sqrt{T} near expiry, the mirror image of gamma's blow-up. The mirror is exact: substitute (5C.10) into 12σ2S2 Γ\tfrac12\sigma^2 S^2\,\Gamma, and one SS and one σ\sigma cancel to leave Sφ(d1)σ/(2T)S\varphi(d_1)\sigma/(2\sqrt{T}), the first term of theta. An exception to these signs is a deep in-the-money European put, whose interest term can outweigh the first, which is why such a put can trade below its intrinsic value (Chapter 5B). So for a call with no dividend,

Θ=−12 σ2S2 Γ−rKe−rTN(d2) \Theta = -\tfrac12\,\sigma^2 S^2\,\Gamma - rKe^{-rT}N(d_2) (5C.13)

For the reference call, 12×0.0625×10,000×0.0555\tfrac12 \times 0.0625 \times 10{,}000 \times 0.0555 comes to 17.34, the first term exactly. Most of theta is the rent on gamma, with interest making up the rest. Chapter 7A derives the relation in general.

Common mistake: selling options "to collect theta"

Theta is not edge. The most common retail misconception about options is "I sell options to collect theta". Theta is the bookkeeping number that shows up in your daily P&L, not the source of profit. The source of profit is the variance risk premium (VRP): the structural overpricing of implied volatility relative to realized volatility, which option buyers are willing to pay. Theta is just the path through which the VRP shows up over time. A short premium strategy is profitable only if realized volatility comes in below what was implied at entry. If realized exceeds implied, the strategy loses money despite "collecting theta" all the way through.

Chapter 7A derives the formal relationship between theta and gamma, which (5C.13) previews. In the Black-Scholes-Merton (BSM) framework, the long-option holder pays theta in exchange for gamma. The short-option holder receives theta in exchange for accepting negative gamma. This exact trade-off, not an approximate one, is the central mathematical engine behind every dealer-hedging story from Part VI on.

6 · Vega: volatility

Vega is the change in an option's value for a rise in implied volatility, with everything else held fixed:

ν=∂V∂σ \nu = \frac{\partial V}{\partial \sigma} (5C.14)

This formula gives the change per unit of σ\sigma, where σ=1.0\sigma = 1.0 means 100% annualized volatility. Most trading platforms instead display vega per vol point, a rise of one percentage point in implied volatility, which is the formula's value divided by 100. A platform showing "Vega = $4.50" means the position gains $4.50 if IV rises from 18.0% to 19.0%, not if σ\sigma doubles from 1.0 to 2.0. This is a frequent source of beginner error when computing vega by hand.

Vega measures an option's exposure to changes in the market's expected volatility. Long options have positive vega, gaining value when IV rises. Short options have negative vega, losing value when IV rises. This is the direct mechanical link between options trading and the broader volatility market. The Black-Scholes formula, the same for a call and a put, is

ν=S e−qT φ(d1)T \nu = S\, e^{-qT}\, \varphi(d_1) \sqrt{T} (5C.15)

For the reference option, ν=100×0.3976×0.28669=11.40\nu = 100 \times 0.3976 \times 0.28669 = 11.40 per unit of σ\sigma, or 0.114 per vol point. A rise in IV from 25% to 26% adds about 11.4 cents a share, or $11.40 a contract.

Vega is positive for both long calls and long puts. It is largest for long-dated at-the-money options, because the T\sqrt{T} factor grows with time, unlike gamma's 1/T1/\sqrt{T}. It is smaller for short-dated options, which leave less time for volatility to affect the price.

Operational consequence: a long at-the-money 30-day SPX call has substantial positive vega. At SPX 6,000 and 20% IV, (5C.15) gives about 6.8 index points per vol point, which is about $680 a contract. A long at-the-money 0DTE SPX call has nearly zero vega, because moves in IV at expiry do not change the option's payoff. This is why vol-targeting and volatility surface strategies concentrate in longer-dated options: that is where the vega lives.

7 · Rho: interest rates

Rho is the change in an option's value for a rise in the risk-free rate:

rho=∂V∂r \text{rho} = \frac{\partial V}{\partial r} (5C.16)

For most short-term equity options rho is negligible, because the value barely changes when rates move by typical daily amounts. Rho becomes relevant for long-dated options (LEAPS, with expiries of 1 to 2 years) and during rate-regime shifts. The 2022-2023 Fed hiking cycle moved option valuations measurably through the rho channel for the first time in over a decade. Black-Scholes gives rho for a call and a put as

rhocall=K T e−rTN(d2)rhoput=−K T e−rTN(−d2) \begin{aligned} \text{rho}_{\text{call}} &= K\,T\,e^{-rT} N(d_2) \\ \text{rho}_{\text{put}} &= -K\,T\,e^{-rT} N(-d_2) \end{aligned} (5C.17)

For the reference call, rho is 100×0.08219×0.99672×0.5040=4.13100 \times 0.08219 \times 0.99672 \times 0.5040 = 4.13 per unit of rate, or 0.041 for a one-point rise. A full percentage point on rates adds about 4 cents a share, less than a single day of theta.

Calls have positive rho because higher rates increase the forward price of the underlying, Se(r−q)TS e^{(r - q)T}, the cost of buying it today and carrying it to expiry (Chapter 4B). Puts have negative rho for the same reason. For near-term SPX options rho is a third-order concern, relevant mostly to how the entire volatility surface reprices during rate-regime changes.

8 · The five Greeks together

The simulator below computes all five Greeks of one option in trading-screen units: theta per calendar day, vega per vol point and rho per 1% of rate. It fixes the rate at 4% with no dividend. Its controls set spot and strike (each from 70 to 130), days to expiry (1 to 180), implied volatility (5% to 80%) and call or put. It opens on the reference call, so its table reads delta 0.533, gamma 0.0555, theta −0.053, vega 0.114 and rho 0.041.

The chart below the table tests (5C.2). For a what-if shift of +$5, delta alone predicts 0.5326×5=+2.6630.5326 \times 5 = +2.663, and the gamma term adds 12×0.0555×25=0.693\tfrac12 \times 0.0555 \times 25 = 0.693, for a total of +3.356+3.356. The full reprice at spot 105 is +3.308+3.308, so the delta-gamma estimate misses by −0.048-0.048, about 1.5% of the change. Drag the shift from −$10 to +$10 and watch the three curves part.

$100.0
$100
30d
25%
premium = $3.02 per share
GreekValueMeasures
Δ delta0.533∂V/∂S, share-equivalent exposure (× 100 per contract)
Γ gamma0.0555∂Δ/∂S, how fast delta changes
Θ theta−0.053∂V/∂t, daily P&L from time passing
ν vega0.114∂V/∂σ, P&L per 1 vol point
ρ rho0.041∂V/∂r, P&L per 1% rate change
+$0.0
Δ·ΔS = +$0.000
Δ·ΔS + ½Γ·ΔS² = +$0.000
full reprice = +$0.000
higher-order error = +$0.0000
Five Greeks, and how far delta and gamma reach. The Black-Scholes Greeks of one option (r = 4%, no dividend) in trading-screen units: theta per calendar day, vega per vol point, rho per 1% of rate. The chart moves spot by up to $10 either way and sets the full reprice against delta alone and against delta plus the ½Γ·ΔS² correction. For a small move delta captures most of the change; what the gamma term leaves over, with vol and time held fixed, comes from speed and higher spot derivatives, and it grows with the move and with lower vol or fewer days.

For small moves delta captures most of the change, and the gamma term captures most of the rest. What remains, with volatility and time held fixed, comes from speed and the higher spot derivatives of Chapter 5D. At +$10 it reaches −0.50-0.50. It grows with the size of the move, and also as you lower the volatility or the days to expiry, where the value curve bends more sharply. Set 3 days to expiry at the money and watch gamma and theta jump while vega shrinks.

The Greek surface shows how one Greek varies across both spot and time. It draws the Greek of an option struck at K=100K = 100, with the rate at 4%, as a wireframe over spot from 70 to 130 and 1 to 90 days to expiry. Theta is per calendar day and vega per vol point. It opens on gamma at 22% IV, where the readout gives 0.0630 at the money with 30 days to go. Turn it with the view angle slider and tilt it with the tilt slider, then switch between the Greeks and between a call and a put. The vanna and charm buttons belong to Chapter 5D.

22%
45°
28°
active Greek = Γ gamma
at ATM, 30 DTE = 0.0630
type = call
A Greek over spot and days to expiry. One Black-Scholes Greek of an option struck at K = 100 (r = 4%), drawn as a wireframe over spot from 70 to 130 and 1 to 90 days to expiry, with theta per calendar day and vega per vol point. Heights run from the surface's lowest value at the floor to its highest at the top, as marked on the vertical axis, and positive and negative values take two colors, stronger the further from zero. Turn the surface with the view angle slider and tilt it with the tilt slider; watch gamma collapse into a sharp peak at the money as expiry nears, the 1/√T divergence of the text.

On the gamma surface, the hump over the strike stays low and broad at 90 days and collapses into a sharp peak at the money as expiry nears: the 1/T1/\sqrt{T} divergence. Theta is its mirror, a trough that deepens at the money near expiry. Vega does the opposite of both, rising toward the long-dated end, while delta turns from a gentle S-curve into a near-step at the strike.

9 · The gamma-theta trade-off

Within the Black-Scholes-Merton framework, gamma and theta are inseparably linked, and you cannot have one without the other. If you are long an option, you have positive gamma, which is favorable, and you pay for it through negative theta. If you are short, you have negative gamma, which is unfavorable, and you are compensated for it through positive theta.

A delta-hedged option is one held against a position in the underlying of the opposite delta, so that small moves in spot cancel to first order (Chapter 6C). Over a short interval dtdt, with σI\sigma_I the implied volatility at entry, the P&L of a delta-hedged long option is

dΠ≈12 Γ S2[(dSS)2−σI2 dt] d\Pi \approx \tfrac12\,\Gamma\,S^2 \left[ \left(\frac{dS}{S}\right)^2 - \sigma_I^2\,dt \right] (5C.18)

Read this as: over each interval, a delta-hedged long option earns 12ΓS2\tfrac12\Gamma S^2 times the difference between the realized squared return and the implied variance. This is the single most important equation in the whole framework, and Chapter 7A derives it properly.

Worked example: One day of a hedged option

Step 1: the stakes. For the reference option, the factor in front of the bracket is 12ΓS2=12×0.0555×10,000=277.4\tfrac12\Gamma S^2 = \tfrac12 \times 0.0555 \times 10{,}000 = 277.4. Over one calendar day dt=1/365dt = 1/365, so the implied variance for the day is 0.0625/365=0.0001710.0625/365 = 0.000171.

Step 2: the breakeven move. The bracket in (5C.18) is zero when (dS/S)2=0.000171(dS/S)^2 = 0.000171, a move of 0.25/365=1.31%0.25/\sqrt{365} = 1.31\%. Larger moves pay the hedged long option, and smaller ones cost it.

Step 3: three days. A 2% move in a day gives 277.4×(0.0004−0.000171)=+0.064277.4 \times (0.0004 - 0.000171) = +0.064 a share, while a 0.5% move gives 277.4×(0.000025−0.000171)=−0.041277.4 \times (0.000025 - 0.000171) = -0.041. No move at all gives −0.047-0.047, which is the gamma term of the call's daily theta in (5C.13).

Four consequences follow from (5C.18):

  • Long gamma earns when realized volatility exceeds implied. If the underlying makes bigger moves than the IV at entry predicted, the delta-hedged long option scalps gamma. It buys low and sells high in the underlying hedge, and the cumulative scalping gain exceeds the theta paid.
  • Short gamma earns when realized volatility falls below implied. If the underlying makes smaller moves than the IV predicted, the short-option position keeps the theta and avoids losing money on the gamma hedges.
  • Theta is the "rent" paid for owning gamma. It is the price you pay for having a position that benefits from movement, and selling gamma collects that rent.
  • The variance risk premium is the operative bet. Every delta-hedged option position is fundamentally a bet on realized against implied volatility, nothing more and nothing less. The directional exposure is hedged away, and what remains is the spread between realized and implied.

This decomposition is what justifies the whole framework of Part VI onward. The dealer who has sold an option to a customer and delta-hedged it is making exactly this bet: that realized volatility comes in below the IV at which they sold. If realized exceeds implied, they lose money to the customer's gamma, and if it is below implied, they keep the spread. The variance risk premium is, in aggregate, the empirical observation that this trade has paid dealers historically: implied volatility has averaged higher than realized (Chapter 10C).

In practice
  • Know the units: platforms show Greeks per share, with theta per calendar day, vega per vol point and rho per 1% of rate. Multiply by the multiplier and the number of contracts to get dollars.
  • Position Greeks add: a position's delta is the sum of its legs' deltas, and the same holds for every Greek. Ten long reference calls carry 0.533×100×10=5330.533 \times 100 \times 10 = 533 share-equivalents of delta, lose about $53 a day to theta and gain about $114 per vol point.
  • Match the expiry to the exposure you want: short-dated options carry gamma and theta, while long-dated options carry vega and rho.
When it fails

The Greeks are derivatives at one point of one model, each with every other input held fixed. They fail when a move is large: at +$10 the reference call's delta-gamma estimate missed by 50 cents. They fail on jumps, which the model does not allow for. They fail when inputs move together, as when implied volatility rises while the index falls (Chapter 5G), so that a put's P&L is delta and vega at once. And the Greeks themselves drift with spot, time and volatility, which is the subject of Chapter 5D.

Decision rule
  • Read delta as share-equivalents, never as the probability of profit. For the chance of finishing in the money, use N(d2)N(d_2) for a call and 1−N(d2)1 - N(d_2) for a put, treating even that as a risk-neutral number.
  • Sell premium only when you forecast realized volatility below the implied volatility you are selling. Positive theta on its own is no reason to trade.
  • Before holding a position, write down its delta, gamma, theta and vega in dollars. Size it so that the loss that (5C.2) gives for a large move, with the move in IV that would come with it, fits inside your cushion (Chapter 1E).
Common mistake: reading delta as the chance of profit

A 30-delta put is not a 30% chance of loss for its seller. Its risk-neutral chance of finishing in the money is higher than 30%: 32% at 30 days and 20% IV, and more at longer expiries. Even the right chance of finishing in the money is not the chance of losing money, which depends on the premium received and on the path.

What to carry forward
  • Each Greek is a partial derivative: the change in an option's value per unit of one input, with the others held fixed.
  • Delta, e−qTN(d1)e^{-qT}N(d_1) for a call, is a hedge ratio in share-equivalents, not a probability. The risk-neutral chance of a call finishing in the money is N(d2)N(d_2).
  • Gamma peaks at the money and grows as 1/T1/\sqrt{T}. Theta mirrors it, and its main term is exactly −12σ2S2Γ-\tfrac12\sigma^2S^2\Gamma.
  • Vega grows with T\sqrt{T} and is quoted per vol point, the formula's value divided by 100, while rho matters mainly for long-dated options and rate shocks.
  • A delta-hedged option is a bet on realized against implied volatility. Theta is the rent paid for gamma, not an edge.

10 · Check yourself

Question 1

The reference call, worth $3.021 with delta 0.5326 and gamma 0.0555, sees spot rise by $2. Estimate its new value with (5C.2), and compare the estimate with the full reprice of $4.195.

Answer

The change is about 0.5326×2+12×0.0555×4=1.065+0.111=1.1760.5326 \times 2 + \tfrac12 \times 0.0555 \times 4 = 1.065 + 0.111 = 1.176, so the estimate is 3.021+1.176=$4.1973.021 + 1.176 = \$4.197. It is about a fifth of a cent above the full reprice.

Question 2

A platform shows vega of $4.50 on your long option position. What happens to the position if IV rises from 18% to 19%, and if it falls from 18% to 16%?

Answer

Vega on a platform is per vol point. A rise of one point gains about $4.50, and a fall of two points loses about 2×4.50=$9.002 \times 4.50 = \$9.00.

Question 3

Why does a 30-delta put have more than a 30% risk-neutral chance of finishing in the money, while a 30-delta call has less?

Answer

Delta reads the normal curve at d1d_1, and the chance of finishing in the money reads it at d2d_2, which lies σT\sigma\sqrt{T} lower. For a call that chance is the area left of d2d_2, which is N(d2)N(d_2) and smaller than N(d1)N(d_1). For a put it is the area right of d2d_2, which is 1−N(d2)1 - N(d_2) and larger than 1−N(d1)1 - N(d_1).

Question 4

At-the-money gamma is 0.063 with 30 days to expiry at 22% IV, as the surface's readout shows. Roughly what is it with 7.5 days left?

Answer

Gamma at the money scales as 1/T1/\sqrt{T}, so a quarter of the time doubles it, to about 0.126. The Black-Scholes value with 7.5 days left is 0.1264.

Question 5

You hold the reference call delta-hedged through a day in which the underlying moves 1%. Do you make or lose money, before costs?

Answer

By (5C.18), the day's P&L is 277.4×(0.0001−0.000171)=−0.020277.4 \times (0.0001 - 0.000171) = -0.020, a loss of about 2 cents a share. The move was below the 1.31% breakeven, so the day's gamma gain did not cover its theta.