Estimate fair volatility levels with blended variance inputs. Review payouts, discounting, and sensitivities using clean visuals and practical trading fields.
This model blends realized variance and forward variance, then applies optional convexity and premium adjustments to estimate fair volatility and present value.
| Case | Strike Vol % | Realized Vol % | Forward Vol % | Elapsed Fraction | Vega Notional | Contracts | Indicative PV |
|---|---|---|---|---|---|---|---|
| Base Trade | 24.00 | 22.00 | 25.00 | 0.35 | 10,000 | 1 | 1,234.80 |
| Rich Forward Vol | 20.50 | 19.10 | 27.80 | 0.20 | 25,000 | 3 | 15,742.65 |
| High Observed Vol | 18.25 | 31.50 | 28.00 | 0.65 | 12,500 | 2 | 29,180.40 |
| Below Strike Scenario | 26.00 | 21.30 | 22.40 | 0.50 | 8,000 | 5 | -12,950.20 |
1) Blended expected variance
Weighted Variance = (Elapsed Fraction × Realized Vol²) + (Remaining Fraction × Forward Vol²)
2) Fair volatility estimate
Fair Vol = √(Weighted Variance) + Convexity Adjustment
3) Adjusted fair volatility
Adjusted Fair Vol = Fair Vol + Premium Adjustment
4) Expected payoff per contract
Expected Payoff = Vega Notional × (Adjusted Fair Vol − Strike Vol)
5) Present value
Present Value = Expected Payoff × e−(r−q)×Remaining Years
This is a practical desk-style calculator, not a full replication engine from option strips. It is useful for education, screening, and quick valuation comparisons.
A volatility swap usually pays vega notional multiplied by realized volatility minus strike volatility. Positive value appears when realized volatility finishes above the strike.
Before maturity, part of the contract is already observed and part remains uncertain. Blending both sections gives a practical estimate of fair volatility today.
Volatility swaps are sensitive to the square-root relationship between volatility and variance. A convexity adjustment approximates that effect when using variance-based market views.
No. A variance swap settles on realized variance, while a volatility swap settles on realized volatility. Their notionals and pricing adjustments differ.
Dividend yield can affect discounting choices and carry assumptions in practical pricing workflows, especially when aligning with equity derivatives valuation conventions.
It lets you replace the model-estimated fair volatility with your own market-implied or trader-supplied level. This is useful for scenario testing.
Use it as a screening and educational tool. Live trading should also consider replication inputs, liquidity, jumps, holidays, conventions, and risk controls.
It is the realized volatility level that roughly offsets the strike after any premium adjustment. Around that point, payoff approaches zero.