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The accuracy of long-term earnings forecasts in the electric utility industry
Authors:R. Charles MoyerRobert E. ChatfieldGary D. Kelley
Affiliation:Texas Tech University, Lubbock, TX 79409, USA;Texas Tech University, Lubbock, TX 79409, USA;West Texas State University, Canyon, TX 79016, USA
Abstract:This paper examines the accuracy of various methods of forecasting long-term earnings growth for firms in the electric utility industry. In addition to a number of extrapolative techniques, Value Line analyst forecasts are also evaluated. Value Line analyst forecasts for a five-year time horizon are found to be superior to many of the extrapolative models. Among the extrapolative models examined, implied growth and historical book value per share growth rate models performed best. These results provide strong support for using Value Line growth forecasts in cost of capital estimates for electric utilities in the context of utility rate cases. Value Line forecast errors could be explained by changes in dividend payout ratios, the firm's regulatory environment and bond rating changes.
Keywords:Earnings forecasting   Utility forecasting   Analysts' forecasts   Electric utilities
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