Abstract:There is a lack of research on the seasonal anomalies in the crude oil market. This study aims to fill that gap by examining the effect of days-of-the-week and month-of-the-year on crude oil price returns. To achieve this, West Texas Intermediate (WTI) daily and monthly data from January 1986 to July 2022 and Brent data from May 1987 to July 2022 were analyzed. The regression analysis utilizing dummy variables for days and months was used to determine the effect of days-of-the-week and month-of-the-year on cru… Show more
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