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The growing trend of international trade reinforces the interdependence of countries, and consequently amplifies the effects of exchange rates movements on the countries’ real sectors. The main channel for this effect is domestic prices. According to the empirical evidences, effects of exchange rate growth on prices, i.e., Exchange Rate Pass-Through (ERPT), vary across the products and firms. This paper explores factors explaining the difference in ERPT among the products and firms. To do so, price data of 2369 products from 355 Iranian firms listed in the Tehran Stock Exchange is used during 2006: Q1 to 2019: Q1. The panel estimation results show that current and lagged effects of the exchange rate on the prices are positive and significant, on average, and the lagged effect is larger than the current one. Moreover, the findings indicate an increase in import intensity and the market share of the firms lead to increase in the firm’s ERPT. Also, an increase in price led by exchange rate shock is larger in the firms with a higher degree of export orientation and strict financial constraint. However, state shareholding in firms induces decrease in ERPT only in firms with high import intensity and market share.

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In the macroeconomics and international economics literature, the rate of change in domestic prices as a result of exchange rate changes is known as the degree of exchange rate pass-through. This is important because the shocks to the economy are transmitted from the exchange rate channel to the relative prices of the economy. In addition, the degree of exchange rate pass-through is affected by microeconomic and macroeconomic variables, so that the degree of exchange rate pass-through will change along with their changes. Therefore, in the present study, the impact of exchange rate on domestic prices is estimated by using the Time-varying Parameter Factor Augmented Structural VAR with Stochastic Volatility (TVP-SFAVAR-SV) and applying seasonal data from 1990 to 2018. First, the latent variable of the amount of speculative activities in the Iranian economy is modeled and estimated. The results show that the highest speculation belongs to the periods 1994 -1996, 1998-1999 and 2011- 2012. Also, the shock to the speculative activities variable in the period under study has led to an increase in inflation. The estimated exchange rate pass-through coefficient has not been constant. Historical variance decomposition analysis of exchange rate pass-through in the presence of the effective factors also shows that the almost all exchange rate fluctuations can be explained by inflation and exchange rate fluctuations, and production gaps.