Greeks and Risk Factors

Greeks measure sensitivity of prices to well-defined risk factors like spot, rates, and volatility.

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Mental model

A Greek is a local map from a market-risk move to the corresponding price change.

Greeks such as delta, gamma, vega, and rho describe how derivative prices respond to small changes in underlying risk factors.

Risk factors are chosen coordinates (spot, curve pillars, vol points) that risk limits and aggregation are built on.

INTERACTIVE INTUITION

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Which market move is each sensitivity measuring, and over what local range is that approximation useful?

This curve shows option PV as a function of a single risk factor. At the current point you see the delta tangent and a faint delta+gamma approximation band. Use the controls to switch factor type and see how a small bump propagates into price.

Spot S = 100.0 · Δ ≈ 0.586 · Γ ≈ 9.81e-1
Spot S Option PV40.070.0100.0130.0160.00.7718.3635.9553.5571.14PV(factor)delta-only approximationdelta+gamma approximationexact bumped PV
Numbers
Current Spot S = 100.0
PV ≈ 4.8151 · Δ ≈ 0.5864 · Γ ≈ 9.81e-1
Exact ΔPV (up bump) ≈ 1.0770
Δ-only ≈ 0.5864 · Δ+Γ ≈ 1.0770
Interpretation

Delta is the local slope of PV with respect to a chosen risk factor; gamma is the local curvature. For a tiny bump, delta alone explains the move; as the bump grows, curvature starts to matter and the delta+gamma approximation tracks the true PV better.

The same geometry applies whether your factor is spot, a rate pillar, or a vol point. The practitioner’s view: Greeks are not mystical, they are just derivatives along a chosen factor coordinate system. Good risk reports start by choosing sensible coordinates and then using these local slopes and curvatures consistently across the book.

UNDERSTAND

What to notice

In a library, the risk engine wraps pricers with bump logic or AAD to compute Greeks consistently across products.

A coherent factor set makes risk reports and limits comparable across desks and asset classes.

FORMALIZE

The quantitative structure

Notation

V
instrument value
S
spot or underlying level
sigma
volatility

Delta

Delta = partial V / partial S

Delta is the local first-order price response to the underlying.

Gamma

Gamma = partial^2 V / partial S^2

Gamma measures how delta changes as spot moves.

Vega

Vega = partial V / partial sigma

Vega measures local sensitivity to the model's volatility input.

USE

A small example

Delta-gamma approximation

A position has delta 0.50 and gamma 0.02 per price unit. Spot rises by 2.

  1. Delta contribution: 0.50 * 2 = 1.00.
  2. Gamma contribution: 0.5 * 0.02 * 2^2 = 0.04.
  3. Approximate value change: 1.00 + 0.04 = 1.04.

ResultCurvature adds 0.04 beyond the first-order delta estimate.

TRANSFER

Where it appears

  • hedging option portfolios
  • setting risk limits
  • explaining daily valuation changes
CHALLENGE

Where the intuition breaks

What this view leaves out

  • Greeks are local derivatives evaluated at a model state; they can change rapidly and omit jumps, cross-effects, liquidity, and model error.

Common mistakes

“A delta hedge removes all option risk.”

Not quite.

Delta neutralizes a local first-order spot move; gamma, volatility, time, jumps, and rebalancing costs remain.

CONNECT

Where this concept sits

Follow the strongest prerequisites, applications, extensions, and contrasts.

Connections for Greeks and Risk Factors

Built on · Black–Scholes Option Pricing

Black–Scholes provides the canonical analytical setting for understanding option Greeks.

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SOURCES

References

  1. Black, F. and Scholes, M. (1973), The Pricing of Options and Corporate Liabilities (opens in a new tab)
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