Forecasting hungarian forint exchange rate with convolutional neural networks

Abstract

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.