Exchange Rate Volatility

The present study has made an attempt to discuss the effects of exchange rate volatility and price expectation on maize imports in Iran from 1980 to 2013. In doing so, using the EGARCH technique for time series econometrics, price volatility variables for both exchange rate and final price have been calculated, and the time series for these variables have been extracted. Additionally, in regard to the expected import price, the related time series has been extracted using Hodrick-Prescott filter (HP). The empirical results indicate that exchange rate volatility and price volatility have had no significant effects on maize import, which is due to the fact that maize is a basic commodity and is imported by the official currency, therefore domestic price volatilities and the exchange rate do not have significant effects on maize imports. However, by freezing the exchange rate and not allocating official currency, the possibility of the exchange rate volatility affecting maize imports exists and this issue could affect the whole country’s food security. JEL Classification: Q17, F13, F31

The relationship between exchange rate volatility and import value indices is one of the important debates in international finance literature and has been considered empirically in recent years. Hence, the main aim of this paper is to evaluate the long-run effect of exchange rate volatility on the import unit value index as a proxy for exchange rate pass-through in two groups of countries with the exchange rate anchor versus inflation targeting monetary regime over the period of 1990-2015. For achieving this purpose, 15 and 43 countries have been selected as countries with exchange rate anchor and inflation targeting monetary policy regime. The econometric model has been estimated by applying ARDL[1] approach in panel data for these two groups of countries. Empirical findings of present study indicated that exchange rate volatility has negative effect on the unit value of imports in the two groups of countries. Moreover, interaction effect of monetary regime and nominal effective exchange rate has positive and significant influence on the import unit value index in two groups of countries. JEL Classification: C23:E23:F31 <br clear="all" /> [1] . Auto-regressive Distributed Lag

Volatility of exchange rate while changes from time to time, is expected to affect firm level operations as well as aggregate level outcomes i.e. macroeconomic performance. This paper, investigates the effects of exchange rate volatility on aggregate production in Iran using a Structural Vector Auto Regressive model with Exogenous Variables (SVARX). The model is estimated based on macroeconomic data during 1990q2-2015q1. Impulse response functions show that realization of a positive shock to the exchange rate volatility-measured by quarterly coefficient of variation derived from daily exchange rate data set rather than common GARCH-based measures- is associated with a significant production drop. These results are robust in reference to changing output measures. We also provide some necessary sensitivity analysis to check robustness of the results with respect to recursive restrictions which are imposed to identify the structural model. After all this robustness checks the model confirmed negative effect of exchange rate volatility on output in Iran's economy. Furthermore, the results show that CPI and exchange rate will significantly increase when exchange rate volatility rises while import declines.