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The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks

机译:隐含波动率和无模型波动率预期的信息内容:来自针对单个股票的期权的证据

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We measure the volatility information content of stock options for individual firms using option prices for 149 US firms and the S&P 100 index. We use ARCH and regression models to compare volatility forecasts defined by historical stock returns, at-the-money implied volatilities and model-free volatility expectations for every firm. For 1 -day-ahead estimation, a historical ARCH model outperforms both of the volatility estimates extracted from option prices for 36% of the firms, but the option forecasts are nearly always more informative for those firms that have the more actively traded options. When the prediction horizon extends until the expiry date of the options, the option forecasts are more informative than the historical volatility for 85% of the firms. However, at-the-money implied volatilities generally outperform the model-free volatility expectations.
机译:我们使用149家美国公司的期权价格和S&P 100指数来衡量单个公司的股票期权的波动性信息内容。我们使用ARCH和回归模型来比较由每个公司的历史股票收益率,平价隐含波动率和无模型波动率期望定义的波动率预测。对于提前1天的估计,历史ARCH模型的表现优于从36%的公司的期权价格中提取的波动率估计,但是对于那些拥有更活跃的期权交易的公司,期权预测几乎总是提供更多信息。当预测范围扩展至期权到期日时,对于85%的公司而言,期权预测比历史波动率提供的信息更多。但是,平价隐含波动率通常优于无模型波动率预期。

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