原油期货的日效预测

Ming-yung Chen
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引用次数: 0

摘要

原油期货对全球金融市场至关重要。即使许多学者关注研究影响原油期货价格的因素,现有文献仍然很少考虑周数效应对原油期货价格波动的影响。本文在异质自回归(HAR)理论的基础上,引入日-周效应,建立了一种新的异质自回归(HAR)模型来预测原油期货价格的未来波动。实证结果表明,新模型的精度优于原有的HAR模型。我们发现周数效应对原油期货价格波动具有显著的负向影响,特别是在短期和长期。我们的工作是第一个引入周日效应来识别更多的原油期货市场信息。本文为研究原油期货波动提供了一种较好的预测方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecast on Crude Oil Futures linked with Day-of-the-week Effect
Crude oil future is crucial to global financial markets. Even if many scholars pay attention to research those factors that can influence the price of crude oil future, the existing literature still rarely considers the impacts of the day-of-the-week effect on the volatility of crude oil future price. Based on heterogeneous autoregressive (HAR) theory, we create a new type of heterogeneous autoregressive (HAR) model by introducing a day-of-the-week effect to forecast the future volatility of the crude oil future prices. The empirical results indicate that the new models' accuracy is better than the original HAR model. And we find that the day-of-the-week effect has a significantly negative influence on crude oil futures' price volatility, especially in the short-term and the long-term. Our work is the first to introduce the day-of-the-week effect to identify more crude oil future market information. This paper provides a better forecasting method to study crude oil future volatility.
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