Wpływ rozszerzenia próbki przy generowaniu współczynników falkowych szeregu na trafność prognozy

The purpose of the study is to investigate the effect of the proposed method of sample extensions to the accuracy of the forecast series, in this case the WIG index. The forecast of series presenting the WIG was made on the basis of a model based on wavelet transform. Prior to the application of the extension number, the number of input data samples was divided into an even number of observations to define a more accurate forecasts. The article focuses only on the sample at an additional extension sets encapsulation of skipping the process of prediction coefficients. Therefore the article does not describe in detail the model used to predict because the aim of this article is not to evaluate the ability of prediction model and only the effect on the final outcome of prediction of six-rule extension method when determining the ak coefficients.