Measuring Predictability of Oil and Gas Stock Returns and Performance of Moving Average Trading Rules

Sanusi, Muhammad Surajo and Ahmad, Farooq (2019) Measuring Predictability of Oil and Gas Stock Returns and Performance of Moving Average Trading Rules. Journal of Economics and Financial Analysis, 3 (1). pp. 47-70. ISSN 2521-6619

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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.

Item Type:	Article
Identification Number:	10.1991/jefa.v3i1.a23
Dates:	Date Event 15 January 2019 Accepted 22 March 2019 Published Online
Uncontrolled Keywords:	Trading and Filter Rules; Moving Average Trading Rule; Buy and Hold Investment Strategy; Oil and Gas Stock Returns
Subjects:	CAH17 - business and management > CAH17-01 - business and management > CAH17-01-07 - finance
Divisions:	Faculty of Business, Law and Social Sciences > College of Accountancy, Finance and Economics > Centre for Accountancy Finance and Economics Faculty of Business, Law and Social Sciences > College of Business, Digital Transformation & Entrepreneurship
Depositing User:	Muhammad Sanusi
Date Deposited:	20 Dec 2019 11:10
Last Modified:	20 Jun 2024 12:06
URI:	https://www.open-access.bcu.ac.uk/id/eprint/8595

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