This paper investigates the existence of seasonality anomalies in the stock returns of the oil and gas companies on the London Stock Exchange. It employs F-test, Kruskal-Wallis and Tukey tests to examine days-of-the-week effect. Generalised autoregressive conditional heteroscedasticity...

This paper investigates the existence of seasonality anomalies in the stock returns of the oil and gas companies on the London Stock Exchange. It employs F-test, Kruskal-Wallis and Tukey tests to examine days-of-the-week effect. Generalised autoregressive conditional heteroscedasticity...

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 based strategies. Short and long lengths moving averages were employed and their performances measured against the returns...