Abstract
In the field of option pricing, scholars have been exploring the constant settings of volatility and interest rate ever since the Black-Scholes model was put forward. This research introduces a floating interest rate into the local volatility model, analyzes the model’s pricing effects, and compares them from the aspects of an in-sample pricing error and out-of-sample pricing error respectively using data of CSI (China Securities Index) SH-SZ (Shanghai-Shenzhen) 300 stock index options. The empirical results show that the Surface Stochastic Volatility Inspire model is better than the Stochastic Volatility Inspire model.
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