درخت حوزه‌های تخصصی

The stock market, as a symbol of the capital market, is one of the most important sectors of the economy of any country and, unlike the money market, is responsible for the long-term financing of corporate capital. The capital market collects funds from surplus sectors and channels them to institutions that need financing. This study investigates the feasibility of establishing a market for the Kabul Stock Exchange. It is a survey in terms of nature and descriptive method and is applied in relation to the purpose. For the feasibility study of the present study, six platforms were identified using Delphi method. Non-random and purposive sampling was used, and according to Morgan’s table, 180 people were selected from three groups of university professors, experts from the ministries of Finance, Economy, Trade and Industry, the Central Bank and a number of people in Kabul. The validity and reliability of the questionnaire was confirmed by Delphi method and Cronbach’s alpha test. SPSS statistical software was used to analyze the data. From the results of one-sample t-test, it can be seen that all H1’s sub-hypotheses were confirmed in relation to the six platforms, which means that in the current situation, Kabul city is not in a favorable situation in terms of infrastructure and requirements for legal, economic, technical and technological, cultural, social and human capital platforms for the establishment of the stock market, and the conditions for the establishment of Kabul Stock Exchange do not exist. The Friedman test showed that the degree of readiness for the establishment of Kabul Stock Exchange depended on the human capital, economic, legal, cultural, technical and technological or social platforms.

Identification of persistence component of inflation and prediction about future inflation structure is a crucial ingredient of an inflation targeting strategies or other related monetary policies. Monetary policy makers perform this task by extracting the measure known as “core inflation”. This measure is a good indicator for tracking trend of inflation and forecasting future inflation. Measures of core inflation was developed by using wavelet methods in our research. The maximum overlap discrete wavelet transformation (MOWT) and multi resolution analysis (MRA) methods are performed for extracting core inflation in period 1381(1)-1400(3) in Iran by monthly data. Using this methods is relatively new in the literature and are ideally appropriated for this task. The best wavelet in each wavelet families choose in accordance with Shannon entropy and logarithm of energy. On the other hand the properties of wavelet-based core inflation measure was evaluated by some tests. The results reveal that our new measure is more superior to the traditional approaches that used in previous studies in Iran.       

In this paper, trade relationship between Iran and its main trading partners based on Heckscher-Ohlin-Vanek (H-O-V) theory is studied in order to evaluate the development of trade relationship in export factor intensity framework. Considering several production factors such as labor, physical capital, knowledge capital, R&D expenditures, productivity and energy as countries export factor content from 1990 to 2020 is the innovation of the study. Regarding the role of R&D expenditures in trade expansion, it seems there is an allocation gap of this resource between developed and developing countries in order to benefit from the identical distribution, while the empirical findings available in the trade literature implies also unpredictable impact of the R&D expenditure variable on trade flows. Therefore, the analysis of this variable effect on trade flows is not limited to a parametric relationship. Nevertheless, other factors such as labor and capital have distinct and parametric effects on trade relations, so that a semiparametric method has been applied to the model of Iran’s export supply in relation with its trading partners. The empirical results showed that productivity, human capital, and knowledge capital, which are the main trade factor content, have the most impacts on Iran export flows and its trading partners. Additionally, the nonparametric part of the model implies that a higher percentage of R&D expenditures affects significantly Iran’s export flows in a higher rate.