Stock Market

Iranian stock market, as a reflection of the real sector of the country's economy, has experienced many uncertainties and challenges in recent years. One of the macroeconomic factors that vaguely affects stock market is exchange rate, which has a significant volatile pattern with several overshoots during recent years. As a result, analyzing the impact of the exchange rate on stock price has become important as always. Bearing the restrictions on Iran’s trade and spectacular role of exchange rate in Iranian economy along with monetary expansion and fiscal dominance in mind, stock market reacts to exchange rate fluctuations in an asymmetric way. In order to prevent the impact of outliers and parametrical failures, this study seeks to examine the impact of exchange rate fluctuations on the stock price using quantile regression. Based on daily data between 2020/10/12 till 2024/12/20 and using first difference of both stock price logarithm and exchange rate logarithm, it became vivid that the impact of the exchange rate on the stock price is different in estimated quantiles and it is U shaped. Meaning when Stock market is stable and there are no absolute pattern of growth or crash around the median, exchange rate could not explain the stock price significantly. However, if the stock market goes bearish or bullish, quantiles where market is on its lowest or in top two quantiles, exchange rate has a crucial positive impact on the market which complies with evidence in the sample period.

This study conducts a comprehensive examination of the interlinkages among four key financial markets—crude oil, gold, currency, and equities—over the July 23, 2013, to March 12, 2025. This study employs the Contemporaneous and Lagged R2 Decomposed connectedness approach recently introduced by Balli et al. (2023), which allows us to decompose the connectedness among variables into lagged and contemporaneous components. As the previous approaches only show overall or contemporary results, this novel approach fills the gap in the literature. The findings reveal that most spillovers occur contemporaneously, with the U.S. dollar playing a central role in the propagation of contemporaneous shocks. In contrast, gold emerges as a significant transmitter of long-term shocks, underscoring its relevance for strategic risk management. Moreover, crude oil is the main receiver of shocks in the average and lagged connectedness in the network. Dynamic analyses indicate heightened market sensitivity during periods of geopolitical tension, particularly under intensified sanctions and currency volatility in Iran. By uncovering the evolving structure of cross-market dependencies, this research offers valuable insights for portfolio allocation, systemic risk assessment, and the formulation of responsive economic policies in times of financial stress.