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Exchange rate volatility and imports demand for the Islamic Republic of Iran

Author

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  • Shahdad Naghshpour

Abstract

This study provides an analysis of imports demand for Iran. It uses time series methods to determine the imports demand. The idea is to capture and account for volatility of real effective exchange rate. The main models are Autoregressive Distributed Lag model and Generalised Autoregressive Conditional Heteroscedasticity. GARCH models account for volatility by dealing with heteroscedasticity. The quarterly data from 1981 Q1 to 2007 Q4 are first checked for stationarity.

Suggested Citation

  • Shahdad Naghshpour, 2014. "Exchange rate volatility and imports demand for the Islamic Republic of Iran," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 7(1), pages 1-17.
    • Handle: RePEc:ids:ijtrgm:v:7:y:2014:i:1:p:1-17
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    Cited by:

    1. Mohsen Bahmani-Oskooee & Jungho Baek & Scott W. Hegerty, 2016. "GARCH-based versus traditional measures of exchange-rate volatility: evidence from Korean industry trade," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 9(2), pages 103-136.

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