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Testing the informativeness of non-price variables with MIDAS touch

机译:使用Midas Touch测试非价格变量的信息

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We examine whether open interest and volume-based price predictors are informative in predicting the underlying assets’ price on options’ expiry. We apply MIDAS estimation procedure on the data extracted from NSE and CMIE-Prowess database for the period between 2011 and 2016. The results of MIDAS estimation uphold the informativeness of non-price variables for 10 stocks and Nifty50 index. In-sample fit verification highlights that MIDAS estimate fits better than time aggregation and distributed lag estimates to actual price. The out-of-sample forecast evaluation coupled with the Wilcoxon test further confirms the relatively better performance of our model over the other two models.
机译:我们仔细检查开放兴趣和基于批量的价格预测因素是否有信息,以预测潜在资产的期权到期。我们在2011年至2016年期间从NSE和CMIE-PROWESS数据库提取的数据应用MIDAS估计程序。MIDAS估计的结果秉承10个股票和NIFTY50指数的非价格变量的信息性。在样本拟合验证突出显示MIDAS估算比时间聚合和分布式LAG估计更好地融合到实际价格。与Wilcoxon测试相结合的样本外预测评估进一步证实了我们模型对其他两个模型的相对更好的性能。

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