oil price

The aim of this study was to investigate the asymmetric effects of exchange rate fluctuations on Stock index of Tehran Stock Exchange. For this purpose, we first calculated the exchange rate fluctuations using model General Autoregressive Conditional Heteroskedastic (GARCH), and then the effect of these fluctuations on the Stock index of Tehran Stock Exchange was estimated using the Generalized Method of Moments (GMM). The data were used daily during the period 2010-2017. Also, the effect of positive and negative fluctuations were separated and included as independent variables in the model. The results of fitting the model indicate that the effect of exchange rate and oil price fluctuations on the Stock index of Tehran Stock Exchange is direct. The results of the model estimation showed that the effect of the positive and negative fluctuations of the exchange rateon Stock Index of Tehran Stock Exchange is asymmetric, so that the effect of the exchange rate increase on the Stock index of stock exchange is far greater than the effect of its reduction. Oil price fluctuations have a direct relationship with the Stock index of Tehran stock exchange. JEL Classification: D82, C51,E32, G00.

Considering the fact that the main income source of the oil producing countries such as members of Gulf Cooperation Council (GCC) and Iran is earned by exporting oil, it is expected that an increase in oil price creates economic convergence. Nevertheless, by considering the low level of intra-regional trade and dissimilarity of their trade cycles, many experts point out the lack of economic convergences in these countries. Hence, the hypothesis considered in this research is that an increase in oil price would not have convergence in per capita income and will not lead to a steady state path. In order to test this hypothesis, we applied Solow-Swan model by using panel data method. The results showed that absolute and conditional convergences have been rejected although the effect of oil price increase on the economic growth is confirmed during the investigated period (1998-2008).  JEL Classification: F43, O47.

One of the features of a financial market, the stock market, in particular, is the market sentiment which is the overall attitude of investors toward a particular security or financial market. Investors always seek to create a portfolio with minimum risk while maintaining the expected return level. Therefore, perceiving the relationship between the stock returns and markets returns can be helpful for investors to create an optimal portfolio. On this basis, the present study aims at investigating the Dynamic Conditional Correlation (DCC) between the returns on the domestic markets (industry stock market and exchange rate) and foreign markets using monthly data of oil and base metals including total metals, copper, steel and returns on the stock price index in Iran during March 2001 to April 2017 using the Dynamic Conditional Correlation Fractionally Integrated Asymmetric Power ARCH (DCC-FIAPARCH) approach. The obtained results indicate a statistically significant and positive DCC coefficient between metals, industrial products, and copper returns with the stocks returns. Consequently, it is not possible to put each of these assets with the stocks in an identical situation (purchase or sale), but instead they should be always situations for risk control. However, in connection with other markets, DCC is not significant; accordingly, assets can be placed in the investment portfolio together with the stocks.

Investor sentiment is one of the non-fundamental factors that affect the financial markets, which itself is influenced by various factors, including oil price changes. This study aims to investigate the impact of oil price on investor sentiment in stock market industries in the Tehran Stock Exchange (TSE) using monthly data from April 2010 to June 2020. To investigate this issue, stock exchange industries were grouped into three categories: total industries, oil-related industries, and non-oil industries, and the effect of oil prices on investor sentiments in these three groups was examined using the pooled mean group (PMG) technique. The PMG approach considers both the short- and long-run relation between series and provides reliable results in the context of dynamic heterogeneous panel models. The implementation of PMG in all three models shows the impact of oil prices on investor sentiment over both the short and long run. Findings suggest also that oil price has positive and significant in all three models in the long run and the oil price coefficient is higher in oil-related industries than non-oil-related industries. These results are the opposite of the results obtained by similar studies, which can be due to the special features of countries, e.g. being oil exporters or oil importers

In the Iranian economy, the oil sector has a significant position; So that changes in oil price affect various economic sectors and markets, including the stock market. The stock market is one of the principal financial markets that can potentially attract the country's uncontrolled savings and liquidity in the form of an efficient channel and improve economic growth and development by turning it into investment. Therefore, it is essential to examine the relationship between oil price and Iran's stock market returns. Given the importance of the issue, the purpose of this paper is to investigate the co-movement between OPEC oil price and returns of the Tehran Stock Exchange market. To analyze the relationship between two variables, applied the wavelet coherence approach and utilized daily data during the period of 2009-2021. Findings show there is a positive correlation between oil prices and stock market returns. Comparison of the data in annual time-frequency scale indicated that the oil price and stock market returns are in phase from 2009 to 2011, and is observed a positive relationship between them. From December 2011 to August 2015, both variables are in phase, and oil price is the leading factor in the stock market. During the period 2015 to 2021, both variables are in phase, but coherency between oil price and stock market returns is not observed.

The theory of relative purchasing power parity to determine the long-run trend of the exchange rate in Iran is quite sensitive to the base year selection. So, by changing the base year, trends with a level difference of several hundred percent are obtained. It means that the long-run trend of the real exchange rate is not at a constant level. In other words, contrary to the PPP theory, the real exchange rate trend is not stationary. Empirical studies consider the non-stationary change in terms of trade resulting from the changes in the real oil price as one of the reasons. This study examines the nexus between the real exchange rate and terms of trade in Iran from 1960 to 2020, using the autoregressive distributed lag approach to cointegration as the estimation method. We find that higher terms of trade lead to a decline in the actual exchange rate and vice versa. The results indicate a long-run relationship, which means that the condition needed to estimate the long-term trend of the exchange rate in Iran is to have the same terms of trade in the base year.