Foreign exchange rate prediction is a stimulating research area from past decade. There are several statistical and machine learning methods already have been proposed by the researchers for foreign exchange rate prediction which provide better results. These models performed a vital role in future financial decision making which is taken by financial department administration of that country a...

the main objective of this paper is to investigate the impact of exchange rate pass-through on consumer prices under exchange rate misalignment in iran during 1353-1387. for this purpose, the exchange rate misalignment has been extracted using ardl method and then the effect of exchange rate and exchange rate misalignment on cpi has been estimated. the results show that the degree of exchange r...

this paper investigates the effect of exchange rate uncertainty on the iran’s import trade. the exchange rate ‎uncertainty series were generated utilizing the tarch model. this model analyzes the asymmetric effects. the analysis of uncertainty and asymmetry ‎of the exchange rate shows significant tarch ‎effect on iran’s exchange rates‎. the findings of the study indicate negative shocks (bad ne...

In this paper, a novel application of the backpropagation network using a self-organised layer inspired by immune algorithm is used for the prediction of financial time series. The simulations assess the data from two time series: Firstly the daily exchange rate between the US dollar and the Euro for the period from the 3rd January 2000 until the 4th November 2005, giving approximately 1525 dat...