Overnight volatility, realized volatility, and option pricing
将日内、隔夜收益和已实现波动率整合进一个自回归波动率模型，推导出期权定价公式，并用标普500指数期权数据证明区分隔夜成分能降低定价误差。
Abstract The equity market is not trading around the clock, and the overnight information has been proved be important for understanding pricing anomalies, improving volatility forecasting accuracy, and so forth. However, there is little research investigating its impact on option pricing. In this paper, we provide a framework that integrates intraday, overnight returns, and realized volatility simultaneously within an augmented Autoregressive Volatility model. The analytical option‐pricing formula for the new model is derived through the closed‐form moment generation function. The empirical results based on S&P 500 index options show that distinguishing the overnight component from daily returns has the potential capability to reduce the pricing errors, both in‐sample and out‐of‐sample.