Abstract
The long memory phenomenon in time series of daily spot prices in the Russian electricity market is investigated. The forecasting performance of the ARFIMA model is assessed by cross-validation. The empirical results confirmed the presence of long memory in electricity prices and the best prediction accuracy of the ARFIMA model.
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