This paper proposes a hybrid modelling approach for forecasting returns and volatilities of the stock market. The model, called ARFIMA-WLLWNN model, integrates the advantages of the ARFIMA model, the wavelet decomposition technique (namely, the discrete MODWT with Daubechies least asymmetric...

In the present study, we investigate the market weak efficiency hypothesis (MEH) in the case of the Tunisian exchange market. For this aim, we use fractional cointegration tests based essentially on estimation of an error correction bivariate ARFIMA model. The cointegration tests are conducted...