We advocate the use of absolute moment ratio statistics in conjunctionwith standard variance ratio statistics in order to disentangle lineardependence, non-linear dependence, and leptokurtosis in financial timeseries. Both statistics are computed for multiple return horizonssimultaneously, and...

An Autoencoder (AE) is an independent feature extractor from data samples and a deep network can be obtained by stacking several AEs. This paper presents a novel hybrid stacked Autoencoder-based Deep Kernel-based Random Vector Functional Link Network (DKRVFLN-AE) for forecasting and trend...

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...