Measuring Predictability of Oil and Gas Stock Returns and Performance of Moving Average Trading Rules
Journal Title: Journal of Economics and Financial Analysis - Year 2019, Vol 3, Issue 1
Abstract
The paper re-examines whether investors can predict oil and gas stock prices for abnormal returns using autocorrelation-based trading and filter rules and moving average strategies. In this paper, short and long lengths moving averages are employed and their performances are measured against the returns from simple buy and hold investment strategy. As a result, the paper finds that employed trading rules do not indicate that investors can make abnormal returns in oil and gas stocks. Moreover, the performances of short and long moving averages in predicting abnormal returns also do not suggest a conclusive evidence that any of the moving averages can result in more returns compared to others.
Authors and Affiliations
MUHAMMAD SURAJO SANUSI, Farooq AHMAD
Keywords
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- EP ID EP491949
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