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Options Greeks are quantitative measures that show how an option’s price will react to changes in price, time, volatility, and interest rates. Understanding them is critical for Nifty/Bank Nifty options risk management and strategy design.
Delta (Δ): Sensitivity of option price to underlying price changes.
Gamma (Γ): Sensitivity of delta to underlying price changes.
Theta (Θ): Sensitivity of option price to passage of time (time decay).
Vega (V): Sensitivity of option price to implied volatility changes.
Rho (ρ): Sensitivity of option price to interest rate changes.
Meaning: Delta measures how much the option price should move for a 1-point move in the underlying.
Range:
Calls: 0 to +1 (e.g., +0.50 means option gains ₹0.50 for each ₹1 rise in stock).
Puts: 0 to −1 (e.g., −0.40 means option loses ₹0.40 for each ₹1 rise).
Use cases:
Gauges directional exposure of a position (net delta).
Approximates probability of expiring ITM (e.g., 0.30 delta ≈ 30% ITM chance).
Meaning: Gamma measures how much delta changes for a 1-point move in the underlying.
Behaviour:
Highest for at-the-money options, lower for deep ITM/OTM.
Short-dated weekly options show very high gamma, causing fast delta swings.
Use cases:
Long gamma (buying options) helps in fast markets, as delta moves in your favour quickly.
Short gamma (selling options) is risky near expiry due to sudden P&L swings.
Meaning: Theta is the daily loss in option value from time passing, holding price and volatility constant.
Sign:
Long options: negative theta (you lose value each day).
Short options: positive theta (you earn time decay).
Behaviour:
Decay accelerates as expiry nears, especially for at-the-money options.
Use cases:
Income strategies (credit spreads, iron condors) are theta positive.
Intraday scalping is less affected by theta than multi-day option holding.
Meaning: Vega measures how much the option price changes for a 1% change in implied volatility.
Behaviour:
Highest for at-the-money and longer-dated options.
Event days (results, RBI, budget) cause large IV spikes and vega impact.
Use cases:
Long vega (buying options) benefits from IV increase (e.g., before news).
Short vega (selling options) benefits from IV crush after events.
Meaning: Rho measures change in option price for a 1% change in interest rates.
Behaviour:
Matters more for long-dated options (LEAPS) than weeklies.
Call options usually gain when rates rise; puts often lose slightly.
Use cases:
Relevant for portfolio hedging and longer-term positions around rate cycles.
Position Greeks: Sum of deltas, gammas, thetas, vegas, and rhos across all options gives your portfolio exposure.
Practical rules:
Keep net delta aligned with your directional view; avoid accidental large one-sided exposure.
Control theta when buying options by not holding too close to expiry without strong momentum.
Watch vega around high-IV events (e.g., results day for Nifty stocks) to avoid IV crush losses.
Example (Nifty Call):
Nifty spot = 22,000
You buy 22,000 ATM Call at premium = ₹200
Delta = 0.50 (typical ATM).
If Nifty goes up 100 points to 22,100, expected option change ≈
0.5×100=50
0.5×100=50.
New premium ≈ ₹250 (ignoring other Greeks).
Example (Bank Nifty Put):
Bank Nifty = 48,000
You buy 48,000 ATM Put at ₹300, Delta = −0.50.
If Bank Nifty falls 200 points to 47,800, expected option change ≈
−0.5×−200=+100
−0.5×−200=+100.
New premium ≈ ₹400.
Use: Delta shows directional exposure and rough ITM probability (e.g., 0.30 delta ≈ 30% chance of expiring ITM).
Nifty Call example:
Nifty = 22,000, 22,000 Call premium = ₹200
Delta = 0.50, Gamma = 0.01.
If Nifty moves up 100 points, Delta increase ≈
0.01×100=1.0
0.01×100=1.0.
New Delta ≈ 1.50 (theoretical; in practice capped near 1).
Interpretation:
High Gamma (weekly ATM) → Delta changes very fast; short option sellers can see P&L swing sharply on quick moves.
Low Gamma (far OTM or far ITM) → Delta is more stable.
Use: For Nifty/Bank Nifty intraday, avoid selling very high‑gamma strikes near expiry unless risk is tightly controlled.
Nifty Intraday/Short-term:
Nifty = 22,000
You buy 22,000 weekly Call at ₹200
Theta = −8 per day.
If price and IV stay flat, after 1 day, premium ≈ ₹192.
After 3 days, decay ≈ 3 × 8 = 24 → premium ≈ ₹176.
Bank Nifty Example:
Bank Nifty = 48,000
48,000 weekly Put premium = ₹300, Theta = −12.
Each day with no move, you lose ~₹12 per lot on time.
Use:
Option buyers must demand strong move quickly to beat theta.
Option sellers design theta‑positive strategies (spreads, short straddles) to let time decay work in their favour.
Nifty Event Example (Budget / RBI):
Nifty = 22,000, 22,000 ATM Call = ₹200
Vega = 4 (means ₹4 change per 1% IV move).
IV rises from 15% to 20% (change = +5%).
Price gain from volatility ≈
4×5=20
4×5=20.
New premium ≈ ₹220 plus any intrinsic change from price move.
Post‑event IV Crush:
Same option, IV falls from 20% to 14% (−6%).
Price drop from volatility ≈
4×−6=−24
4×−6=−24.
Even if Nifty moves slightly in your favour, IV crush can reduce premium.
Use:
Before big events: Long options (long vega) can benefit from rising IV.
After events: Short vega strategies (spreads, short straddles with hedge) try to profit from IV collapse.
Nifty 6‑month Call:
Nifty = 22,000, 22,000 6‑month Call premium = ₹800
Rho = 0.40 (₹0.40 per 1% rate change).
If interest rates rise 1%, premium ≈ ₹800 + ₹0.40 = ₹800.40 (small effect).
Use: For weekly and monthly Nifty/Bank Nifty options, rho impact is negligible; more relevant for LEAPS or when building portfolio‑level hedges.
Assume:
Nifty = 22,000, buying 22,000 weekly Call at ₹200
Greeks: Delta = 0.50, Gamma = 0.015, Theta = −8, Vega = 4.
Scenario A – Strong Up Move, No IV Change
Nifty goes to 22,100 (+100).
Price effect ≈
0.5×100=+50
0.5×100=+50 → ₹250
Delta adjusts by Gamma: new Delta ≈
0.50+0.015×100=2.0
0.50+0.015×100=2.0 (capped near 1 in reality).
1 day passes: Theta ≈ −8 → final ≈ ₹242 (ignoring gamma non‑linearity).
Scenario B – No Price Move, 2 Days Pass, IV Falls 3%
Nifty stays at 22,000.
Time decay: 2 × 8 = 16 → ₹184
Vega effect:
4×−3=−12
4×−3=−12 → final ≈ ₹172.
This shows how a buyer can lose even without adverse price moves if time and volatility move against the position.