Template-Type: ReDIF-Article 1.0 
Author-Name: Afees Salisu
Author-Name: Philip Omoke
Author-Name: Olalekan Fadiya
Author-Email:  adebare1@yahoo.com
Author-Workplace-Name:  Centre for Econometrics and Applied Research, Ibadan, Nigeria
Title: Climate Policy Uncertainty and Crude Oil Market Volatility
Abstract:  In this study, we pursue two main innovations. First, we evaluate the predictive value of climate policy uncertainty (CPU) for oil market volatility. Second, we demonstrate how an investor can exploit the information contents of CPU to gain higher returns. We find that increased values of CPU heighten crude oil market risk, while higher forecast gains are achieved in a model that accommodates CPU. We further show that observing CPU offers higher portfolio returns than ignoring it.
Classification-JEL:  D81 ,F37 ,G17
Keywords:  Climate policy uncertainty, Crude oil market volatility, Profit maximization strategies, Forecast evaluation
Journal:  Energy RESEARCH LETTERS
Pages: 1-5
Volume: 4
Issue: 1
Year:  2023
DOI:  2023/03/14
File-URL:  https://erl.scholasticahq.com/api/v1/articles/38781-climate-policy-uncertainty-and-crude-oil-market-volatility.pdf
File-Format:  Application/pdf
Handle:  RePEc:ayb:jrnerl:72