This study investigates the relationships between Bitcoin (BTC) prices and fluctuations in relation to gold, USD, and Iran's oil prices from 2019 to 2022. We employed the dynamic conditional correlation generalized autoregressive conditional heteroscedasticity (DCC-GARC More
This study investigates the relationships between Bitcoin (BTC) prices and fluctuations in relation to gold, USD, and Iran's oil prices from 2019 to 2022. We employed the dynamic conditional correlation generalized autoregressive conditional heteroscedasticity (DCC-GARCH) method to model the fluctua-tions of financial variables. Additionally, the smooth transition regression (STR) method was applied to explore the relationships between the variables. The results reveal significant positive correlations between BTC prices and gold, as well as oil, and a negative correlation with USD prices. We observed volatility persistence, causality, and phase differences between BTC and other financial instruments and indicators. Notably, a negative relationship was identified between Bitcoin and the USD in both linear and non-linear aspects, with a larger coefficient in the second regime. Furthermore, a posi-tive relationship was found between Bitcoin and the variables of gold and oil prices, with coefficients being larger in the second regime compared to the first.
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The purpose of this article is to examine the effect of OPEC statements (whether increasing, decreasing or not changing supply) on oil price fluctuations in crude oil markets. For this purpose, conditional heterogeneity and variable control variance models have b More
The purpose of this article is to examine the effect of OPEC statements (whether increasing, decreasing or not changing supply) on oil price fluctuations in crude oil markets. For this purpose, conditional heterogeneity and variable control variance models have been used to investigate the effect of statements on Brent and WTI crude oil price fluctuations during the period 1987-2019 based on the event analysis approach. The findings show that OPEC statements have a significant effect on the turmoil in the oil market, and the type of statements varies on crude oil market fluctuations, and this effect has diminished over time. Based on the results, members' solidarity in the field of planning and coordinated implementation of decisions for maximum impact on the crude oil market is proposed.
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Investigating the effect of oil price uncertainty on the Tehran Stock Exchange index is of great importance because with increasing uncertainty in oil prices, the systematic risk of the stock market index increases. On the other hand, in oil exporting countrie More
Abstract
Investigating the effect of oil price uncertainty on the Tehran Stock Exchange index is of great importance because with increasing uncertainty in oil prices, the systematic risk of the stock market index increases. On the other hand, in oil exporting countries such as Iran, oil revenues are among the most important and influential factors in macroeconomic variables and, consequently, financial market indicators. The present study investigates the effect of oil price uncertainty on the Tehran Stock Exchange index using the wavelet-based quantile regression model (MODWT-MRA) during the period April 2011 to April 2021 in Iran.. The results of the model estimate showed that with the increase in oil price uncertainty, the Tehran Stock Exchange index will decrease. According to the results, the effect of oil price uncertainty on the Tehran Stock Exchange index in the first few quantiles has a smaller coefficient than the final quantiles, so the negative effect of oil price uncertainty on the Tehran Stock Exchange index in recent months is more than the first months. Also, the coefficient value on the component 5 scale is much higher than the component 1 scale; Therefore, the negative effect of oil price uncertainty on the Tehran Stock Exchange index in the short run is much greater than the value of this effect in the long run. This is because in the long run, the investor will adjust to the uncertainty.
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The present study uses the PVAR model to investigate the impact of asymmetric oil price shock, tax revenues, resource curse, stock market and business cycles in oil exporting economies during the period 2000-2019. According to the estimation results; the respo More
Abstract
The present study uses the PVAR model to investigate the impact of asymmetric oil price shock, tax revenues, resource curse, stock market and business cycles in oil exporting economies during the period 2000-2019. According to the estimation results; the response of the output gap to the shock of oil prices and exchange rates is a downward trend for up to 3 periods, after which it rises and in the long run this shock is gradually adjusted, but the problem that exists and the response of the output gap to liquidity also show this. is. Revenues from oil sales and foreign exchange earnings are not well managed in oil-rich countries, and the amount of liquidity injected into the market is spent on imports, which are generally done to combat inflation. In this case, many production sectors will be seriously damaged and will be taken out of the production cycle, and therefore part of the investments made in the economy will be unused and the amount of production will decrease, and on the other hand, when foreign exchange earnings decrease, the amount of imports. It has been reduced that part of the decrease in imports will be directed to capital goods and production machinery, leading to a decrease in investment and an increase in the production gap. Sectors that were taken out of production as a result of massive imports of consumer goods during the period of increasing oil revenues will not be revived in this period, which requires more attention of the country's officials to macroeconomic indicators.
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