zeinab yadegar

In the present study, the position of the sports industry in the Iran economy and its relationship with other economic activities are investigated. The present study is analytical and descriptive in terms of method and practical in terms of purpose. The method of data collection is by library and the position of the sports industry is investigated by complex networks. The nodes in this network represent the economic activities and the weight of the edges that connect the nodes according to the input-output table determined and then by using the centrality criteria the position of the sports industry in the Iran economy examined. According to the results, the sports industry is ranked 1st for betweenness and 2nd for in-closeness. The results show that real estate had the greatest impact on the sports industry. Also, the sports industry has the greatest impact on the education sector. According to the ranking for betweenness centrality, more industries need the sports industry to connect faster to each other. The in-closeness ranking of the sports industry also indicates that the sports industry can receive input from other industries in a shorter period of time. The impact of the sports industry on real estate is due to the use of halls and grounds for various sports. The impact of sport on education also shows the important impact of sport on the promotion of human capital.

In this research, a new approach was used to examine the position of the insurance industry in the stock market. In this way, firstly, one of the 36 selected industry networks of the Iranian economy, according to the active industries in the stock market, and based on their weight, in accordance with the 36 input-output table of the Iranian economy (related to the year 2015 which was published in 2019) was determined. In the next step, the correlation network was determined between how the stock market index of these 36 industries corresponded to 243 trading days per year, using the centrality criteria of the insurance industry. 

The insurance industry is not considered a key node in the first network. The reason for that is the very small share of the added value of this industry in the country's gross domestic product. The results of the evaluations carried out of in this research show that telecommunications industry has the greatest impact on the insurance industry due to the creation of an information transmission infrastructure for insurance. The transportation industry's use of various insurance coverages makes the industry take the most influence from the insurance industry. In the second network, the stock market index of the insurance industry is considered as a key node and has the highest correlation with the stock market index of the pharmaceutical industry. This shows that in the period of research, the behavior of the stock market index of these two groups have shown a great similarity to each other. T The results of this research will be usable and useful for both policy makers and shareholders of the insurance industry, The most important application of the results of this research is that policymakers pay more attention to the consequences of mandated policies in a specific and key industry, and to be aware that wrong decisions in one sector can have many consequences for all economic sectors. Therefore, the officials in the regulatory departments, as soon as they see a crisis in a key economic sector, should immediately take appropriate decisions to prevent the spread of the crisis among other industries of the stock market.

One of the small and young industries in the stock market is the tourism industry, which includes ‎several companies, ‎including the Cultural Heritage Investment Group. In the present ‎by using the complex networks theory two networks are ‎presented. First, a network is chosen from 36 ‎industries in Iran economy according to active industries in the stock ‎market using a fundamental approach. The weight of the edges is ‎determined according to a 36-section of input-output ‎table. In the next step, a correlation network ‎among the stock market indices of these 36 industries is formed using a ‎technical analysis approach. ‎ a centrality criteria is used to provide an approach to determine the position of the ‎tourism ‎industry as well as its connection with other industries in Iran stock market. According to the ‎results, the food industry has ‎the most impact on the ‎tourism due to the required food supplement for hotels and restaurants. The ‎industrial ‎contracting is the most affected by the tourism due to the impact of tourism ‎development on activities such as ‎the restoration of historic buildings. The stock market index of the tourism has the ‎highest correlation with the stock ‎market index of the Printing and‏ ‏publishing. ‎

In today's world, the interconnected structures of modern economies have caused the crisis to spread from one sector or country to other countries or sectors of the economy. Empirical evidence has shown that markets are interconnected and do not move apart. In the present study, a new approach is presented to investigate the contagion effect in Iran stock market. First, with the economic analysis, a network of 36 selected industries of Iran's economy is formed in accordance with the industries active in the stock market and the weight of the edges that connect them is determined according to the input- output table of Iran. In the next step, a correlation network is formed between the stock market indices of these 36 industries by using centrality criteria, Key industries are identified and then attacked. Comparison of the results of the two networks show that only in a limited number of cases in both networks, the basic metals industry, the banking industry, investment and other financial intermediaries, and the agricultural industry have won first place in accordance with a number of centrality criteria. But in other cases, the two networks have not the same results, which shows that economic relations among industries do not dominate their stock market index relations alone. The results of this study help both policymakers and shareholders to make appropriate decisions as soon as they see a crisis in important industries of the stock market.

Banking system is considered as one of the most important economic sectors of every country. Because of the dependency between the performances of different sectors in economy, instability in banking sector will lead to disorder in all the other economic sectors. Marketization can influence banking stability. The primary objective of the present study is to investigate the relationship between marketization and banking stability in Iran. This study investigates the effect of institutional quality on the relationship between marketization and banking stability. Accordingly, the Generalized Method of Moments (GMM) and Panel Threshold Regression (PTR) techniques were used to estimate the models. The results of GMM indicated a decrease in banking stability after marketization. An improvement in institutional quality, however, could improve the relationship between marketization and banking stability. The results obtained by the PTR analysis revealed that institutional quality had a threshold value which could affect the relationship between marketization and banking stability and led to different relationships between marketization and banking stability under different regimes

Banking stability is considered as one of the most important economic topics of every country. Increasing share of private banks is a factor which can influence banking stability. This paper investigates the relationship between increasing share of private banks and banking stability across different levels of institutional quality in Iran and using unbalanced panel dataset. Accordingly, the generalized method of moments and a panel smooth transition regression model were used to estimate. The results obtained through the generalized method of moments indicated that increasing share of private banks, is negatively associated with bank stability. Furthermore, an improvement of the institutional quality can reduce the adverse influence of increasing share of private banks on bank stability. The results obtained through the use of the panel threshold regression model further revealed that institutional quality has a threshold value which can affect the relationship between share of private banks and bank stability.