درخت حوزه‌های تخصصی

In addition to imposing a negative impact on public health, Covid-19 has made the world face a huge financial-economic crisis. The worldwide spread of the coronavirus has also affected the volume of transactions and the value of stocks. Since the food market is more affected under crisis conditions, this relationship has been investigated in the stock exchange in the present study. In order to investigate the effect of Covid-19 patients on the stock index value of food industry companies as well as the relationship between risk and stock index value, the official daily data of the Ministry of Health and Medical Education and the Financial Information Processing Center of Iran were collected from March 3, 2021 when the first report was announced, to June 2, 2021. Mean Conditional heteroscedasticityvariance regression models were used in the current study. The statistical model specification tests showed that, first, the assumption of heteroscedasticitywas rejected and the needto useheteroscedasticitymodels was proved. Secondly, the asymmetry assumption was accepted. Model estimation results showed a relationship between the numbers of Covid-19 patients with the stock value of the food industry that was an increase in the number of infected people causes a decrease in the stock value of the food industry. Therefore, like other economic sectors, the capital market was affected by the Covid-19 crisis, and increasing exchange rate as a competing market had a negative effect on the stock price index. Also, considering the relationship between risk and stock value of food industries, as expected, there was an inverse and significant relationship between risk and stock value of food industry companies. In other words, an increase in risk leads to a decrease in the stock price of food industries.

The new structural economics approach to industrial policy is to follow a strategy of comparative advantage. According to this thinking, determining the relative prices of production factors by the market mechanism and providing the soft and hard infrastructure required by the government for industries that are compatible with the production factor’s structure, are the two determining factors of industrial development strategy. Considering that one of the key hypotheses of this approach is to increase economic growth as a result of comparative advantage following policy, this study has tried to test this hypothesis in the provinces of Iran in the period of 2005-2017 using the GMM. The findings of this study show that the hypothesis is confirmed at the level of Iranian provinces; Also, the change in the model estimation method did not change the research findings, so it is reliable. Therefore, it is recommended that policy makers consider the policy of following the comparative advantage of the region in designing the industrial development strategy.

Given the lack of a specific approach to the explanation of values of optimal portfolio weights in the portfolio optimization, the present study aimed to examine large-scale portfolio optimization according to both stock weighting and utilization of SCAD function to minimize the portfolio risk based on the "weight-modified conditional value at risk (CVaR)" and its comparison with the "conditional value at risk (CVaR)" method in the Tehran Stock Exchange. Therefore, the price information of companies listed in the Tehran Stock Exchange and Over-the-counter (OTC) from 2012 to the end of September 2020 was collected, screened, and analyzed daily, and then the risk and return of the portfolios were examined by forming optimal portfolios. The results indicated that the efficiency limit of the stock portfolio and also the ranks of different companies were different according to the types of the optimization method. Based on the behavior of the TEDPIX, the investors' degrees of risk-taking, and the risk management, diversification, and computational complexity of each method, the weight-modified CVaR had a better performance due to better diversification and risk management. Furthermore, the SCAD function added computational complexity to this method .

The oil market is affected by the supply of oil by oil-producing countries. The Organization of the Petroleum Exporting Countries (OPEC) was established in the 1960s to balance oil prices in favor of oil-producing countries. OPEC has gone through a period of convergence and divergence since its inception under political-economic events and crises. In turn, this convergence and divergence have had a significant impact on oil production, supply, and prices in the oil market. OPEC members form a diverse range of population, size, reserves, output, gross domestic product, ideology, and type of relationship with world powers. This diversity, along with internal tensions, leads to different approaches on energy markets and production quotas, which has affected the interests of all producing countries. Thus, this study aims to assess the convergence relationship between OPEC members on the strength of this organization on the market. To reach this aim, we have used a qualitative method of descriptive and analytical type using library resources and documents. Findings show that any lack of convergence and understanding between OPEC members has led to increased supply in the oil market and fluctuating prices. These price fluctuations seriously damage the economies of exporting countries.