convertibility is an important factor in international trade where instruments valued in different currencies will be exchanged. convertibility can be either total manner or a partial manner. however, whatever the type of convertibility, there will be advantages and disadvantages to  the economy of a country of which has  made a convertibility of its national currency. convertibility was studie...

‎The main purpose of this paper is to analyze the exchange rate volatility in Iran in the time period between 2011/11/27 and 2017/02/25 on a daily basis. As a tradable asset and as an important and effective economic  variable, exchange rate plays a decisive role in the economy of a country. In a successful economic management, the modeling and prediction of the exchange rate volatility is esse...

exchange rate prediction, as one of the main variables in macroeconomics, has been one of the aims of the economic research for a long time. for modeling and predicting exchange rate we apply stochastic differential equation, specifically we use geometric brownian motion (gbm) and jump-diffusion process (mjdp) attributed to merton. we show that the result of simulation based on gbm and mjdp out...

abstract this study aims at profitability prediction of listed companies in tehran stocks exchange (tse), using artificial neural network. the respected sample consists of 90 firms from 2002  to 2009 (720 firm/years). attention to the framework of study reduced the number of 720 firm/years to 630 firm/years. these firms separated in two groups of learning sample (540 firm/years) and test sample...

Iran is one of the oil exporting countries, so the oil price plays a remarkable role in the government budget and is a major source of foreign exchange. On the other hand, the reliance of the government budget to oil income as well as its fluctuations is a fact referred to as the most important cause of inflation by many researchers. This paper explores the effect of shocks in the exchange rate...

No theory of structural exchange rate determination has yet been found that performs well in prediction experiments. Only very seldom has the simple random walk model been significantly outperformed. Referring to three, sometimes highly nonlinear, monetary and nonmonetary structural exchange rate models, a feedforward artificial neural network specification is investigated to determine whether ...

This paper presents the application of six nonlinear ensemble architectures to forecasting the foreign exchange rates in the computational intelligence paradigm. Intelligent techniques such as Backpropagation neural network (BPNN), Wavelet neural network (WNN), Multivariate adaptive regression splines (MARS), Support vector regression (SVR), Dynamic evolving neuro-fuzzy inference system (DENFIS...