Oil and the short-term predictability of stock return volatility

By Yudong Wang, Yu Wei, Chongfeng Wu, Libo Yin. Journal of Empirical Finance, 2018

199 citations recorded by the source corpus.

The goal of this paper is to show that crude oil volatility is predictive of stock volatility in the short-term from both in-sample and out-of-sample perspectives. The revealed predictability is also of economic significance, as shown by examining the performance of portfolios constructed on the oil-based forecasts of stock volatility. Results from robustness tests suggest that oil volatility provides different information from traditional macro variables. Further analysis shows that simple linear regression is sufficient for capturing predictive relationships between oil and stock volatility. Oil volatility is found to predict return volatilities of a significant number of industry portfolios during recent periods.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/9b67eaa38cdae8e11d21c4f743ab1b9c6769e9a1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Chao Liang
  2. Xiafei Li
  3. Yifeng Zhang
  4. Xuhui Zhang
  5. Yu Wei

In Renewable Energy, Sustainability and the Environment

  1. Yu Wei

Citations in the corpus