Abstract
This paper investigates whether the potential predictors from China and globally can efficiently predict Chinese agricultural futures volatility by adopting the REGARCH-MIDAS framework. We highlight the predictability of numerous Chinese potential predictors for forecasting ten agricultural futures volatility, which is relatively better than that of global potential predictors. Robustness tests such as different realized measure and different forecasting window confirm the above conclusions. Performances of predictors during different volatility levels, before and during the COVID-19 pandemic are further discussed. This paper tries to shed new light on the volatility prediction of Chinese agricultural futures markets.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
