The purpose of this study is to analyze the asymmetric effects of oil priceshocks on economic growth in Iran. There are two hypotheses in this study:First, any reduction of oil prices leads to lower economic growth in Iran andsecond, the positive impact of an equal incr More
The purpose of this study is to analyze the asymmetric effects of oil priceshocks on economic growth in Iran. There are two hypotheses in this study:First, any reduction of oil prices leads to lower economic growth in Iran andsecond, the positive impact of an equal increase of price of oil on economicgrowth is less than the negative effect. Therefore the effects are asymmetric.We use Vector Auto Regression model to estimate our model. Our modelshows that shockwaves in oil price have a greater impact on economicfluctuations in Iran than other macroeconomic variables. We also use Hydric ‐Prescott filtering to separating positive and negative shocks and confirm theirasymmetric effects
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The purpose of this research is to manage downside risks and upside risk with exchange rates and stock prices. This research is descriptive in nature and in terms of its purpose. The statistical population of the research is the companies accepted in the Tehran Stock Ex More
The purpose of this research is to manage downside risks and upside risk with exchange rates and stock prices. This research is descriptive in nature and in terms of its purpose. The statistical population of the research is the companies accepted in the Tehran Stock Exchange and the sample of the companies accepted in the cement and pharmaceutical industry, which can be extracted from the research data. The research period is from 1391 to 1396. This research has a theoretical model and the self-regression model was used to test the hypotheses. In the cement industry, the exchange rate variables are combined with adverse risk combination and optimal risk. But the stock price variable does not have this capability. Also, in the pharmaceutical industry, the exchange rate changes with the combination of undesirable risk and optimal risk of correlation. But the stock price variable does not have this capability.
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The basic aim of this paper is to identify the effectiveness of credit banking Expansion on the value added of manufacturing industry sector. For empirical test ,we used vector autoregressive model that shows how different shocks affect on industry growth in the specifi More
The basic aim of this paper is to identify the effectiveness of credit banking Expansion on the value added of manufacturing industry sector. For empirical test ,we used vector autoregressive model that shows how different shocks affect on industry growth in the specific period and how can it explain the volatility of value added growth rate in industry sector .By using the method of variance decomposition, the findings Based on impulse response function indicates that economic growth in manufacturing industry sector much is dependent to credit banking which allocated to this sector. In addition, inflation and the number of employee as other variables of model have same effects on industrial growth rate but lesser than credit Expansion in banking system. The result of variance decomposition analysis show that banking system credit allocation to industry sector is important factor that influences growth of product and explain the volatility of variation in short and long term. The most volatility is originated from inflation and level of industrial employee in short term,but in long term the outcomes is opposite.
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The volatility of financial returns plays an important role in many empirical applications, such as portfolio allocation, risk management and derivative pricing. The purpose of this research is to explain the relationship between undesirable risk and desirable risk in p More
The volatility of financial returns plays an important role in many empirical applications, such as portfolio allocation, risk management and derivative pricing. The purpose of this research is to explain the relationship between undesirable risk and desirable risk in predicting market return volatility. The research is descriptive in nature and applied in purpose. The statistical population of the study is the companies listed in Tehran Stock Exchange and the target sample of the companies listed in the cement industry from which the required research data can be extracted. The research period is from 1392 to 1397. This research has a theoretical model and the self-regression model was used to test the hypotheses. In the cement industry, according to the t-statistic and its coefficient of determination, it is clear that the predictor of market yield fluctuations correlates with undesirable and desirable risk. Also, the adjusted coefficient of determination is 51%, which indicates this effect.
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