the successful key of trading in the forex market is the selection of correct exchange in proper time based on an exact prediction of future exchange rate. foreign exchange rates are affected by many correlated economic, political and even psychological factors. therefore, in order to achieve a profitable trade these factors should be considered. the application of intelligent techniques for fo...

The paper deals with the use of artificial neural networks (ANN) for predictions of economic time series. First, we revise the basic existing ANN architectures for time series forecasting and describe their application on CZK/EUR exchange rate prediction. Next, we introduce a hybrid version of the ANN that builds upon the same network strategy but tries to enhance the prediction accuracy by fir...

The behavior of exchange rate in various exchange markets is not seemingly predictable, while there are different forecasting methods to do so. One of these methods is to use fractals to identify exchange rate behavior. This paper has made attempts to explore the properties of fractals in Iran’s exchange market in order to it can predict and analyze the trend of exchange rate. Accordingly, th...

This paper investigates whether incorporating sentiment extracted from Twitter’s trending topics would improve the intra-day exchange rate predictions. What makes this paper unique is that unlike previous similar studies which only consider tweets that contain the symbol or the name of the currency or stock, it looks at all trending topics irrespective of whether they contain the name or the sy...

This paper revisits the role of macroeconomic fundamentals as predictors for exchange rate movements at different horizons. It takes seriously the notion that the fundamental dynamics of an economy is hard to measure and that the usual measures, such as monetary aggregates, price index and deflator series and GDP, are imperfect approximations of these fundamental movements. As an alternative me...

abstract main objective of this paper is to investigate the impact of exchange rate misalignment on wheat’s producer estimates (pse), using the 1989-2007 period’s data. for this purpose, vector error correction model (vecm) along with the use of real exchange rate based on purchasing power party (ppp) was applied to estimate nominal equilibrium exchange rates. then, by using market price suppor...