T he main purpose of this article is to analyze exchange rate behavior based on monetary fundamentals in the context of Iranian economy over the period 1990:2 to 2014:3. To do so, two monetary exchange rate models is investigated, the first by regarding interest rate differential as a monetary variable, and the second one regardless of interest rate differential as a monetary variabl...

This paper models the return series of USD/CNY exchange rate by considering the conditional mean and conditional volatility simultaneously. An index type functional-coefficient model is adopted to model the conditional mean part and a GARCH type model with a policy dummy variable is applied to the conditional volatility model. We show that the government policy indeed has an impact on the excha...

Associative Models were created and used for pattern recognition tasks, but recently such models have shown good forecasting capabilities; by a preprocessing of a time series and some fit of the Model. In this paper, the Gamma Classifier is used as a novel alternative for currency exchange rate forecasting, where experimental results indicate that the proposed method can be effective in the Exc...

 Given companies’ dynamic responses to expected exchange rate changes, this article improves on current methods of measuring exposure to foreign exchange rate changes by breaking down the spot exchange rate changes into expected changes and unexpected changes. The currency risk exposure coefficients resulting from an empirical analysis of Shanghai Stock Exchange A share listed companies on wh...

Since some raw materials, semi manufactured, intermediate and capital goods in agricultural sector are imported, the exchange rate fluctuations can affect the cost price of products in this sector. Recently, we are facing considerable fluctuations in exchange rate that has an important impact on all sectors including the agriculture. As a result of an increase in import prices in agricultural r...

We report on a novel forecasting method based on nonlinear Markov modelling and canonical variate analysis, and investigate the use of a prediction algorithm to forecast conditional volatility. In particular, we assess the dynamic behaviour of the model by forecasting exchange rate volatility. It is found that the nonlinear Markov model can forecast exchange rate volatility significantly better...

Using a State-space model, this paper investigates the contribution of both observed and unobserved fundamentals to nominal exchange rate movement in Iran for the period 1991:2-2011:4. To this end, we follow Engel and West (2005) and Balke et al. (2013) and use an asset-pricing approach to develop a rational expectations present value exchange rate model. In order to examine the role of fun...