VIX期权作为波动率衍生品能为金融机构提供有效的市场风险对冲工具。文献中对VIX期权定价的实证分析误差都很大,原因在于模型的选取误差以及校正方法和样本选取不妥。通过在VIx模型中加入均值回复因素和跳因素,可以使VIX过程更加合理,也可以使VIX期权定价精度更高。通过对VIX期权市场中间报价进行校正,得到了4个文献模型的参数估计,并比较4个模型的定价精度和正向隐含波动率偏斜拟合效果。
VIX option is a volatility derivative that can effectively hedge market risk for financial institutions. Pricing errors of VIX option pricing models are quite large due to the impropriate specification of VIX dynamics, miss-choice of calibration methods and option samples. Adding mean-reversion and jumps into VIX dynamics can make the models more reasonable and VIX options more accurately priced. Mid-prices of market VIX option quotes for each specific maturity are used as benchmark to calibrate VIX pricing formulas, and parameters are estimated, pricing accuracies and positive implied volatility skews are compared for the four models in literature.