Testing the efficiency of the futures market for crude oil using weighted least squares

By:

STEVENS, J

Material type: Text

TextSeries: Applied Economics Letters ; Volume , number ,New York Taylor & Francis 2013Content type:

text

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unmediated

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Summary: It is well known that parameter estimates obtained from ordinary least squares can be distorted by outliers. Given the dramatic fluctuations observed in the price of crude oil, it is surprising that the robustness of parameter estimates has not been scrutinized more closely. This article investigates the efficiency of the New York futures market for crude oil using the basis regression. In addition to ordinary least squares, the model’s parameters are estimated using weighted least squares and trimmed least squares. The results suggest that the presence of outliers may distort parameter estimates obtained from ordinary least squares away from a finding of an inefficient futures market.

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Item type	Current library	Call number	Vol info	Status	Notes	Date due	Barcode
Journal Article	Main Library - Special Collections	HB1.A666 APP (Browse shelf(Opens below))	Vol.20 , No.16 - 18 (Dec 2013)	Not for loan	For In House Use Only

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It is well known that parameter estimates obtained from ordinary least squares can be distorted by outliers. Given the dramatic fluctuations observed in the price of crude oil, it is surprising that the robustness of parameter estimates has not been scrutinized more closely. This article investigates the efficiency of the New York futures market for crude oil using the basis regression. In addition to ordinary least squares, the model’s parameters are estimated using weighted least squares and trimmed least squares. The results suggest that the presence of outliers may distort parameter estimates obtained from ordinary least squares away from a finding of an inefficient futures market.

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