Hedging errors of China 50 ETF options from January 4, 2021 to December 22, 2021
| Model | Short (10–90 days) | Long (>90 days) | ||||
|---|---|---|---|---|---|---|
| MHE | MAHE | N | MHE | MAHE | N | |
| A. Deep OTM put (Moneyness<0.85) | ||||||
| SVI | 1.0936 | 1.1904 | 182 | 1.5247 | 1.5279 | 145 |
| Spline | 1.0778 | 1.1333 | 1.4713 | 1.4772 | ||
| B. OTM put (0.85<Moneyness<1) | ||||||
| SVI | 0.2246 | 0.9961 | 1974 | 0.5439 | 0.5627 | 775 |
| Spline | 0.2015 | 0.9698 | 0.5314 | 0.5513 | ||
| C. OTM call (1<Moneyness<1.15) | ||||||
| SVI | 0.0545 | 0.6291 | 1951 | 0.0274 | 0.1409 | 765 |
| Spline | 0.0488 | 0.5991 | 0.0690 | 0.1422 | ||
| D. Deep OTM call (Moneyness>1.15) | ||||||
| SVI | 0.5530 | 0.7301 | 605 | 0.1875 | 0.2535 | 361 |
| Spline | 0.5938 | 0.7794 | 0.1799 | 0.2485 | ||
| Model | Short (10–90 days) | Long (>90 days) | ||||
|---|---|---|---|---|---|---|
| MHE | MAHE | MHE | MAHE | |||
| SVI | 1.0936 | 1.1904 | 182 | 1.5247 | 1.5279 | 145 |
| Spline | 1.0778 | 1.1333 | 1.4713 | 1.4772 | ||
| SVI | 0.2246 | 0.9961 | 1974 | 0.5439 | 0.5627 | 775 |
| Spline | 0.2015 | 0.9698 | 0.5314 | 0.5513 | ||
| SVI | 0.0545 | 0.6291 | 1951 | 0.0274 | 0.1409 | 765 |
| Spline | 0.0488 | 0.5991 | 0.0690 | 0.1422 | ||
| SVI | 0.5530 | 0.7301 | 605 | 0.1875 | 0.2535 | 361 |
| Spline | 0.5938 | 0.7794 | 0.1799 | 0.2485 | ||
Note(s): SVI: the SSVI model in Gatheral and Jacquier (2014). Spline: 5th-order spline interpolation with one knot at moneyness one. Hedging is rebalanced with intervals of seven calendar days. The delta is calculated using the BSM formulas with the model volatility. Short/Long: maturity in calendar days. MHE: mean hedging error defined in Liu et al. (2022). MAHE: mean absolute hedging error defined in Liu et al. (2022). N: the number of options with valid hedging series in each category
Source(s): Authors’ own work
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.