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Lesson 8: Greeks Beyond the Basics

Promise: Understand vanna, volga, and charm: the second-order sensitivities that explain why your P&L doesn't match your Greeks.

Why More Greeks?

In Options Explainers, you learned the Big Four: delta, gamma, theta, vega. These are first-order sensitivities: how your option price changes when one variable moves.

But these Greeks themselves change. Delta changes when spot moves (that's gamma). Vega changes when vol moves. Delta changes as time passes. These second-order effects are the advanced Greeks.

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First-order Greeks tell you your exposure. Second-order Greeks tell you how that exposure will change.

The Advanced Greeks Map

Greek
What It Measures
Derivative Of
Vanna
How delta changes with vol
∂Δ/∂σ or ∂ν/∂S
Volga (Vomma)
How vega changes with vol
∂ν/∂σ
Charm
How delta changes with time
∂Δ/∂t
Veta
How vega changes with time
∂ν/∂t
Speed
How gamma changes with spot
∂Γ/∂S
Color
How gamma changes with time
∂Γ/∂t

We'll focus on the three most important: vanna, volga, and charm.

Quick Reference: Surface Properties and Greeks

Surface Property
Greek
Related Instrument
What It Means
ATM IV level
Vega
ATM straddle
Long vol
Smile skew
Vanna
25Δ risk reversal
Long flattener (in put skew regime)
Smile curvature
Volga
OTM options
Long tail risk

Vanna: Delta's Sensitivity to Vol

Vanna measures how your delta exposure changes when implied volatility moves.

Vanna=Δσ=νS\text{Vanna} = \frac{\partial \Delta}{\partial \sigma} = \frac{\partial \nu}{\partial S}

Intuition

Think about an OTM call with delta = 0.20. If vol increases, there's a higher probability it ends up ITM. So delta increases. That's positive vanna.

Vanna: How Delta Changes with Vol

Reference: Vol = 50%
Current: Vol = 50%
0.000.250.500.751.00Call Delta0.850.710.550.400.2780%90%100%110%120%(OTM Put)(OTM Put)(ATM)(OTM Call)(OTM Call)
Key insight: At baseline vol. Adjust the slider to see how delta changes across strikes when vol moves.
Option Type
Vanna Sign
What It Means
OTM Call
Positive
Delta increases as vol rises
OTM Put
Negative
Delta (more negative) increases magnitude as vol rises
ATM
~Zero
Delta relatively stable around 0.50
ITM
Opposite of OTM
Delta moves toward 1 or -1

Why Vanna Matters

  1. Spot-vol correlation effects: When spot drops and vol spikes (negative correlation), vanna creates additional delta exposure
  2. Hedging: Your delta hedge becomes wrong when vol moves
  3. Pin risk: Near expiry, vanna effects can be large
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If you're long OTM options and vol spikes, you suddenly have more delta than you thought.

Volga (Vomma): Vega's Sensitivity to Vol

Volga (also called Vomma) measures how your vega exposure changes when vol moves.

Volga=νσ=2Vσ2\text{Volga} = \frac{\partial \nu}{\partial \sigma} = \frac{\partial^2 V}{\partial \sigma^2}

Intuition

Volga is the "gamma of vega." Just like gamma makes your delta position bigger as spot moves in your favor, volga makes your vega position bigger as vol moves.

Volga: How Vega Changes with Vol

Low Vol (40%)
Current: 50%
High Vol (70%)
05101520Vega+50%+31%+-1%80%90%100%110%120%Strike (% of spot)
Wing convexity: Notice how OTM options (wings) gain more vega in percentage terms when vol rises. ATM vega stays relatively stable, but wing vega explodes. This is why OTM options are convex bets on volatility.
Option Type
Volga
What It Means
ATM
Low/Zero
Vega relatively stable
OTM (wings)
High Positive
Vega increases as vol rises
Deep OTM
Highest
Most convex vega profile

Why Volga Matters

  1. Wing options are convex in vol: OTM options benefit disproportionately from vol spikes
  2. Vol-of-vol exposure: High volga means you're exposed to volatility of volatility
  3. Smile trading: Volga is why wing options command a premium
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Wing options have high volga. When vol explodes, their vega explodes too. They're convex bets on vol. But the thesis requires selling when fear is at maximum, not holding to expiry (where they expire worthless if still OTM).

Charm: Delta's Sensitivity to Time

Charm measures how your delta changes as time passes, holding everything else constant.

Charm=Δt\text{Charm} = \frac{\partial \Delta}{\partial t}

Intuition

As expiry approaches, OTM options become less likely to end up ITM (delta decreases toward 0), while ITM options become more certain (delta increases toward 1 or -1). Charm captures this drift.

Charm: How Delta Changes with Time

Days to Expiry: 30
0.000.250.500.751.00Call Delta85%90%95%100%105%110%115%Strike (% of spot)60d30d7d1d
Medium term: Delta curve is moderately sloped. Charm effects are present but manageable. OTM options still have meaningful delta that will decay as expiry approaches.
Option Position
Charm Effect
Delta Drift
OTM Call
Negative charm
Delta drifts toward 0
ITM Call
Positive charm
Delta drifts toward 1
ATM Call
Small/variable
Delta stays near 0.5 until close to expiry

Why Charm Matters

  1. Delta hedging costs: Your delta hedge needs constant adjustment as time passes
  2. Weekend decay: Charm effects accumulate over weekends
  3. Near-expiry dynamics: Charm accelerates dramatically as expiry approaches
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Charm is why delta hedging is not "set and forget." Your hedge drifts even if spot doesn't move.

Shadow Gamma: The Real Gamma

Standard gamma assumes volatility stays constant when spot moves. In reality, vol changes when spot changes — and in crypto, this effect is enormous.

Shadow gamma is the gamma you get when you also update vol in your scenario. It answers: "If BTC drops 5% and IV spikes 8 points (as it typically does), what's my actual delta change?"

Position:
-1.5 vol pts / 1% spot
-4.0 (extreme)0.0 (none)
Short puts: shadow gamma reveals delta exposure is worse on down-moves because vol increases as spot drops.
-5%Standard GammaShadow Gamma-10%-5%0%+5%+10%Spot Price MoveDelta Change+0-
Standard Gamma predicts
delta changes by +0.1183
on a 5% drop
Shadow Gamma predicts
delta changes by +0.1011
on a 5% drop (15% more exposure)
Shadow gamma accounts for the fact that a 5% BTC drop typically increases IV by 7-10 points. Standard gamma ignores this — potentially underestimating your true exposure.

Why It Matters

Position
Standard Gamma Says
Shadow Gamma Reality
Short OTM puts
Manageable exposure
15-20% MORE gamma on down-moves (vol rises into your short strike)
Long straddle
Symmetric gamma
More gamma on down-moves (helpful), less on up-moves
Risk reversal
Near-zero gamma
Asymmetric hidden gamma: exposed on the side where vol moves against you
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Build a mental "vol map": if BTC drops 5%, what does IV do? In crypto, a 5% drop typically adds 7-10 IV points. Your actual gamma exposure may be 15-20% larger than your screen shows.

Vega and Gamma: The Same Risk, Different Views

One of the deepest insights in options: vega is the time-integral of expected gamma profits.

Vega=σTS2Γ\text{Vega} = \sigma \cdot T \cdot S^2 \cdot \Gamma

What this means: a straddle owner who sees $1,000 from a 1-point vol move should expect their gamma rebalancing profits to produce that same $1,000 over the remaining life, if the higher vol actually materializes. Vega and gamma are not independent risks — they're the same risk viewed in two timeframes.

Vega-Gamma Identity

Taleb, Dynamic Hedging Ch 9 (pp. 149-150) — vega and gamma are the same risk viewed through different lenses

Instantaneous View
Gamma P&L = 0.5 · Γ · (ΔS)²
-3%$104-2%$46-1%$12+1%$12+2%$46+3%$104
Spot move size
=
Time View
Vega P&L per 1 vol-pt
+1 vol$114
Vol move
Expected sum of gamma profits over remaining life = Vega P&L from vol move
Vega = σ · T · S² · Γ
σ=0.6   T=0.082   S²=10.0B   Γ=2.311e-5  →  identity=11395.10 ≈ vega=11395.10
Days to Expiry30 DTE
7d90d
Gamma
2.3107e-5
Vega ($/1%)
$11395.10
Identity check
$11395.10

Practical Consequences

  1. Don't double-count: Managing gamma and vega as separate risks overstates your exposure
  2. Short-term vega is more volatile: A $100K vega in 1-month options is NOT the same as $100K in 1-year options. Short-term vol typically moves ~2x as much as long-term vol.
  3. Alpha (gamma rent): The ratio Theta/Gamma measures the "rent" you pay per unit of gamma. At constant vol, this ratio is the same across all tenors — selling short-dated options for "more theta per gamma" is an illusion.
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If you manage gamma and vega as separate risks, you're double-counting. Vega is just the expected total gamma P&L over remaining life.

How These Greeks Interact

The advanced Greeks don't exist in isolation. In real markets:

Vol Spike Scenario

Spot drops 5%, vol spikes 15 points:

  1. Delta: Increases (you're shorter if you were long calls)
  2. Vanna effect: Additional delta change from vol spike
  3. Gamma effect: Delta changed from spot move
  4. Vega: Your vol exposure increased (if long options)
  5. Volga effect: Vega itself increased because vol is higher

Your actual P&L is the sum of all these effects.

Time Decay Scenario

Weekend passes, nothing moves:

  1. Theta: Time decay (expected)
  2. Charm: Delta drifted (need to re-hedge)
  3. Veta: Vega exposure changed

Portfolio-Level View

For complex portfolios, you don't track each option's Greeks. You aggregate:

GreekPortfolio ReadingInterpretation
Net Vanna+500Delta will increase 500 per 1% vol rise
Net Volga+200Vega will increase 200 per 1% vol rise
Net Charm-300Delta will decrease 300 per day

This tells you how your portfolio's risk profile will evolve.

Common Mistakes

MistakeCorrection
Ignoring vanna when vol spikesYour delta hedge is wrong after vol moves. Re-hedge.
Not understanding why wings outperform in vol spikesIt's volga. Wings have convex vega.
Forgetting charm over weekendsDelta drifts even with no spot move.
Treating Greeks as staticThey're all functions of spot, vol, and time.
Over-complicatingYou don't need to track all 20 Greeks. Focus on vanna, volga, charm.
Using standard gamma for riskShadow gamma (accounting for spot-vol correlation) is the real exposure. Standard gamma understates risk for short puts in crypto.
Thinking short-dated = better theta/gammaAlpha (theta per unit gamma) is constant across tenors at flat vol. The "rent" is the same.
Managing gamma and vega as separate risksThey're the same risk viewed differently. Vega = expected sum of gamma profits over remaining life.

Test your understanding before moving on.

Q: What does vanna measure?
Q: Why do wing (OTM) options have high volga?
Q: What is charm and when does it matter most?
Q: What is shadow gamma and why does it matter for crypto?
Q: How are vega and gamma related?

💡 Tip: Try answering each question yourself before revealing the answer.

See Also

Navigation: ← Lesson 7: Surface Dynamics | Lesson 9: Reading Your Greeks →