An Empirical Investigation of Efficiency Measurement in Financial and Economic Time Series Data


Authors : AKINTUNDE M. O; AMUSAN, A.S; MASOPA, N.A; ADESIYAN, A.A

Volume/Issue : Volume 6 - 2021, Issue 9 - September


Google Scholar : http://bitly.ws/gu88

Scribd : https://bit.ly/2YKRFbG


Abstract : This paper investigates the efficiency measurement in financial and Economic data. Efficiency measurement has contributed significantly to the reduction in the volume of error encountered in the dayto-day human endeavour. The most unfortunate thing is that little or no attention is directed towards the publications addressing this problem. This paper therefore serves as a gap filling study aimed at addressing the problem arising in the direction of efficiency measures. The data employed in the study is Nigerian Crude oil data (2009-2018) analyzed through the use of Econometric View software (E-view). The efficiency measures indices used are Mean Absolute Error (MAE), Root Mean Square Error RMSE , Mean Absolute Deviation (MAD), Mean Absolute Precision Error (MAPE) and THEIL U inequality. From the results the performance measures indices that produced the most efficient measurement is THEIL U inequality and its components, Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) in that order.

Keywords : Efficiency, MAE, RMSE, MAD, RMSE and MAPE.

This paper investigates the efficiency measurement in financial and Economic data. Efficiency measurement has contributed significantly to the reduction in the volume of error encountered in the dayto-day human endeavour. The most unfortunate thing is that little or no attention is directed towards the publications addressing this problem. This paper therefore serves as a gap filling study aimed at addressing the problem arising in the direction of efficiency measures. The data employed in the study is Nigerian Crude oil data (2009-2018) analyzed through the use of Econometric View software (E-view). The efficiency measures indices used are Mean Absolute Error (MAE), Root Mean Square Error RMSE , Mean Absolute Deviation (MAD), Mean Absolute Precision Error (MAPE) and THEIL U inequality. From the results the performance measures indices that produced the most efficient measurement is THEIL U inequality and its components, Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) in that order.

Keywords : Efficiency, MAE, RMSE, MAD, RMSE and MAPE.

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