Key takeaways
- Options are a family of structures, not a single instrument.
- Delta, gamma, theta, and vega describe how an option's value responds to market changes.
- Margin can rise sharply in stress; expiry concentrates gamma risk.
- The same Greek exposure can be 'good' or 'bad' depending on the structure.
The Greeks
Delta measures how much the option price moves for a small move in the underlying. Gamma measures how much delta itself changes for a small move — high gamma means delta is unstable, which matters near expiry and near the strike.
Theta measures the rate of time decay — how much extrinsic value the option loses per day, all else equal. Vega measures sensitivity to implied volatility — how much the option price moves for a change in IV.
Different structures combine these differently. A long call has positive delta, positive gamma, negative theta, positive vega. A short call has the opposite signs. A long straddle is delta-neutral at entry but long gamma and long vega; a short straddle is delta-neutral at entry but short gamma and short vega.
Implied volatility
Implied volatility (IV) is the volatility input that makes an option-pricing model match the market price. It is forward-looking — a reflection of what the market is pricing in — and can differ substantially from realised volatility after the fact. IV typically rises before known event dates (policy decisions, results, elections) and compresses after them.
Margin and assignment-style risk
Indian futures and options use a SPAN + exposure margin framework. Margin is not static: in stress, exchange margin can rise sharply intra-day, which forces position adjustments at unfavourable prices. Independent learners often underestimate this — a backtest that assumes constant capital usage understates the operational risk.
Indian index options are cash-settled; single-stock options are physically settled. Physical settlement on expiry of an in-the-money short single-stock option creates a delivery obligation that requires the full notional.
Event risk and gap risk
Options are gap-sensitive. An overnight news event can move the underlying outside the range any intraday hedge could have managed, producing losses on short-premium structures that no Greek measurement captured in advance. Event windows (RBI, Budget, election results) are well known and concentrate this risk.
Common mistakes
- Treating 'options' as a single asset rather than a family of structures.
- Ignoring margin escalation during stress days.
- Confusing premium received with realised profit.
- Using constant-margin assumptions in a backtest.
How this appears in OptionScience reports
OptionScience report metadata lists Instrument and Timeframe at the top, and the protected report viewer documents the structure used and its risk classification.
Practical educational example
Checklist
- Which Greeks does this structure expose a learner to?
- How does margin behave in a stress scenario?
- Is the worst-case loss bounded or unbounded?
- Does the study include event windows in its sample?
