Forecasting hungarian forint exchange rate with convolutional neural networks

This paper investigates the advantages of deep learning methods, in particular convolutional neural networks, to predict the exchange rate for non-reserve currencies of developed economies. Our findings prove better performance of deep learning methods comparing to the other available techniques.