درخت حوزه‌های تخصصی

Economic transparency will lead to economic stability and corruption decline. Thus the shortage of transparency mechanisms, laws and procedures will raise corruption and make it tough to cutout corruption. Also, loss of transparency in financial and economic system creates to instability, inappropriate allocation of resources, the boom of injustice and inequality and as a result paves the way for all sorts of financial and economic corruption and misuse. The greater transparency economic growth, the lower the cost of entry into economics and accordingly with rising economic competitiveness, the condition for development and economic growth will be advanced. So, considering the vital role of transparency in economics, this study first explores transparency and corruption then with the panel data, looks at the relation between economic transparency and economic growth in Middle East countries over the last 13 years (2003-2015). In other words, this paper aims to show how the transparency variable influences economic growth. The specific purpose is to find out whether there is a positive or negative connection between transparency and economic advancement in the countries under investigation. The results of the research show that the relation between transparency and economic growth in the Middle East countries is direct and significant. Also the relation between gross capital formation and labor force participation is direct and significant with the economic growth of these countries.

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.