TY - JOUR A1 - Vogl, Markus A1 - Rötzel, Peter A1 - Homes, Stefan T1 - Forecasting performance of wavelet neural networks and other neural network topologies: A comparative study based on financial market data sets JF - Machine Learning with Applications N2 - In this study, we analyse the advantageous effects of neural networks in combination with wavelet functions on the performance of financial market predictions. We implement different approaches in multiple experiments and test their predictive abilities with different financial time series. We demonstrate experimentally that both wavelet neural networks and neural networks with data pre-processed by wavelets outperform classical network topologies. However, the precision of conducted forecasts implementing neural network algorithms still propose potential for further refinement and enhancement. Hence, we discuss our findings, comparisons with “buy-and-hold” strategies and ethical considerations critically and elaborate on future prospects. KW - Wavelet neural networks KW - Financial forecasting KW - Neural network topology KW - Intelligent systems KW - Finance KW - Wavelet KW - Neuronales Netz KW - Kreditmarkt Y1 - 2022 UR - https://www.sciencedirect.com/science/article/pii/S2666827022000287 U6 - https://doi.org/10.1016/j.mlwa.2022.100302 VL - 8 IS - 6 SP - 100302 EP - 100302 ER -