What quantity is subtracted to estimate the forward variance here?
Reveal the worked answer
Total variance sigma squared times maturity.
Then divide by the remaining interval before taking a square root.
How much event risk belongs to each maturity?
Read first: Read a contract and its premium, Rights, obligations and expiration, Defined payoff risk is not margin, Read the whole multi-leg ticket
Term structure describes IV across maturities under a comparable strike or moneyness convention. Calendars and diagonals buy and sell different portions of that structure. A high front IV can reflect a near event rather than an inexpensive short-volatility opportunity.
Calendar means different expiries at the same strike; changing strikes as well creates a diagonal.
Volatility itself is not additive through time. Under a simple integrated-variance comparison, sigma squared times T is the relevant total quantity. A high short-dated annualized IV can still represent less total variance than a lower longer-dated IV.
Forward variance calculations require matched conventions and do not guarantee the future realized volatility.
Identify where events fall and compare total variance. Stress front and back expiries independently. A long calendar can be damaged if back-month IV falls or spot leaves the area where its structure is useful.
Do not use a same-expiry terminal payoff engine to value a still-live far leg.
These are complete fictional reading examples, not live opportunities. Terminal identities assume the stated common settlement. Multi-expiry values require a surviving-leg model. Costs, assignment and financing can alter realized outcomes; a mathematical bound alone does not guarantee the same operational loss path.
Fictional seven-day IV is 60% and thirty-day IV 35%. Total variance is 0.006904110 and 0.010068493. The implied forward variance rate over the remaining 23 days is (0.010068493−0.006904110)/(23/365)=0.050217391.
Its square root is about 22.409% annualized. This is a model-consistent comparison, not a promise about the next 23 days. The graph shows total variance rather than averaging the two quoted IVs.
Vertical: Total variance (annual decimal volatility squared × years)
Horizontal: Calendar days remaining
| Calendar days remaining | Fictional example |
|---|---|
| 7 | 0.00690411 |
| 30 | 0.0100685 |
A trader averages IV60 and35 directly or describes a calendar as having a fixed maximum payoff at the first expiry. Both confuse distinct time concepts.
Try the question before revealing its answer. These are reading checks, not trading certification or a site completion record.
Total variance sigma squared times maturity.
Then divide by the remaining interval before taking a square root.
A trader averages IV60 and35 directly or describes a calendar as having a fixed maximum payoff at the first expiry. Both confuse distinct time concepts.
Explain this risk before treating the example as a decision rule. A correct calculation does not guarantee a favorable market outcome.
Return to the question: How much event risk belongs to each maturity? State the observed facts, the assumptions and the failure condition separately.
External references support definitions and conventions. Worked scenarios and prose are original. No current quotes or dealer inventory are claimed.
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