Ali Namaki; Reza Raei; Nazanin Asadi; Ahmad Hajihasani
Abstract
Networks are useful tools for presenting the relationships between financial institutions. During the previous years, many scholars have found that using single-layer networks cannot properly characterize and explain complex systems. The purpose of this research is to introduce a multiplex network in ...
Read More
Networks are useful tools for presenting the relationships between financial institutions. During the previous years, many scholars have found that using single-layer networks cannot properly characterize and explain complex systems. The purpose of this research is to introduce a multiplex network in order to analyze, as accurately as possible, all aspects of communication between banks in capital market of Iran. In this article, each bank represents a node and three layers of return, trading volume and market Cap have been presented for analyzing the idea of multiplex networks. We have used the Granger causality method to determine the direction between nodes. For understanding the topology structure of these layers, different concepts have been used. The research findings show that the value layer topology has a significant similarity with the trading volume layer. Also according to the measure of centrality it can be seen that the centrality varies in different layers.
Saghar Nikpour; Mojtaba bahmani; sayyed Abdolmajid Jalaee; Mehdi Nejati
Abstract
This article investigates the financial convergence between Iran, OPEC & the Shanghai Organization trade groups, of which Iran is a member. The analysis covers the period of 2005 to 2017.In order to examine the convergence dynamics of these financial markets; we have employed the Philips and ...
Read More
This article investigates the financial convergence between Iran, OPEC & the Shanghai Organization trade groups, of which Iran is a member. The analysis covers the period of 2005 to 2017.In order to examine the convergence dynamics of these financial markets; we have employed the Philips and Sul (2007) methodology, which uses a nonlinear time-varying factor model. This paper provides a comprehensive picture of the financial systems within Iran and its convergence clubs by testing the convergence of their money market with domestic credit to private sector by banks (% of GDP), deposit and lending interest rate, real interest rate, and capital market with Stocks traded, total value (% of GDP). The empirical findings show that money and stock markets of OPEC and the Shanghai group do not form a homogenous convergence club. Results show that Iran has convergence with some countries in OPEC and the Shanghai group in money and stock markets, which can be explained by their similar economic indicators in both markets. Furthermore, the convergence speed between Iran and the Shanghai countries is higher than that of Iran and OPEC countries, which proves that joint trade agreements are stronger reasons for convergence than the oil factor. Iran should implement further structural reforms in order to achieve greater financial convergence with its joined groups.
Nasrin Rostami; Abbas Najafizadeh; Ahmad Sarlak; Esmaeil Safarzadeh
Abstract
The purpose of this paper is to examine the asymmetric effects of banking sector and stock market development on economic growth in Iran. For this purpose, Smooth Transition Regression (STR) model used based on seasonal time series data during 1989-2017. The results indicate that the impact of financial ...
Read More
The purpose of this paper is to examine the asymmetric effects of banking sector and stock market development on economic growth in Iran. For this purpose, Smooth Transition Regression (STR) model used based on seasonal time series data during 1989-2017. The results indicate that the impact of financial and banking development indices on economic growth is different for economic growth rates above and below 6%. Therefore, if the economic growth rate is higher than 6%, then we have a regression and when economic growth is lower than 6% will have another regression in order to effect of financial development of economic growth. In addition, results show that that the relationship between private sector credit and economic growth is much stronger than the relationship between stock market and economic growth.