List of Articles financial network

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  1 - Modeling the default correlation risk in the financial network based on the reduced model
  naser haghi seyfedin Rasoul ABDI nader rezaei yagob aghdam mazrea
  The purpose of this study is to model the default risk correlation in the financial network based on the reduced model. In this study, we focus on the spread of default in the financial network and examine the effect of financial system heterogeneity on the stability of More

  The purpose of this study is to model the default risk correlation in the financial network based on the reduced model. In this study, we focus on the spread of default in the financial network and examine the effect of financial system heterogeneity on the stability of the financial system, and finally, by implementing intervention policies, we offer suggestions to reduce risks and rebuild the network. This research is among the applied researches. The statistical sample of the studied information is 407 companies listed on the Tehran Stock Exchange in the period of 1393-1398. In order to test the relationship between variables and the significance of the model, regression analysis and MATLAB software was used for modeling. Research findings show that the companies that have the most contact with network members will have the greatest impact on network instability. The results showed that the increase in the dispersion of interdependencies of receivables and liabilities, to the depth of 5 relationships in companies, has a negative effect on the stability of the financial system and the high variance of positions and the degree of financial epidemic by increasing both epidemic range and probability Manuscript profile
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  2 - A Typology of Financial Networks According to Their Typological ‎Characteristics (A Study of Tehran Stock Exchange)‎
  Majid Montasheri Hojjatollah Sadeqi
  The purpose of this study is ‎to establish and introduce a new financial network and to examine centrality ‎measures for optimizing the portfolio of investors as well as identifying ‎stock market leaders. In this study, 100 top stock companies with largest & More

  The purpose of this study is ‎to establish and introduce a new financial network and to examine centrality ‎measures for optimizing the portfolio of investors as well as identifying ‎stock market leaders. In this study, 100 top stock companies with largest ‎average market capitalization were selected from January 2009 to January ‎‎2020. The financial network was converted to logarithmic returns using ‎adjusted closing price. The concepts of graph theory and prim algorithm ‎were used to explore the relationships and distances between stocks to ‎construct a minimum spanning tree. The results showed that based on the ‎degree centrality measure, Iranian telecommunication stocks and Ayandeh ‎Bank, based on closeness centrality measure, Bahman investment stocks, ‎Omid capital financing and tourism bank, based on Betweenness centrality ‎measure, Omid capital financing stocks, Bahman investment and Asia ‎insurance, based on the bottleneck centrality measure, Asian Insurance ‎stocks, Tourism Bank and Omid Capital has the most impact on the financial ‎network and stock market. Finally, the financial network was divided into 9 ‎clusters, each cluster showing the stronger relationship of its components ‎with each other. ‎ Manuscript profile
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  3 - Development of Financial Networks Based on Cointegration Concept (A Study on Tehran Stock Exchange)
  Fateme Rasti Hojjatollah Sadeqi
  Network theory can be used to better understand the financial markets, which are one of the most complex concepts in today's world. Financial networks are a set of Nodes(vertices) and edges. Each node represents one stock and each edge indicates the relationship between More

  Network theory can be used to better understand the financial markets, which are one of the most complex concepts in today's world. Financial networks are a set of Nodes(vertices) and edges. Each node represents one stock and each edge indicates the relationship between the stocks. Early studies in this area used correlation coefficients to describe short-term relationships between stocks and market modeling. This modeling method applies to data that have symmetry and only determines the presence or absence of a relationship between stocks, and does not specify the type of relationship, the direction and weight of that relationship. In recent years, financial time series modeling has been done using the concept of cointegration. In this study using the time series stationary test,unit root tests of Dickey Fuller and KPSS ,and Engle-Granger test, cointegration based network were designed. In order to analyze this network, the centrality measures such as: centrality degree, between centrality, closeness centrality, page ranking and Bonacich were used. The results of this study show that cointegration networks can provide more complete graph of markets, and also central measures analysis can play an effective role in stock portfolio selection and provide a good model for understanding stock relationships. Manuscript profile
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  4 - Analysis of Financial networks in Tehran Stock Exchange using the application of centrality measures
  Majid Montasheri Hojjatollah Sadeqi
  The purpose of this study is to create a Financial network to identify stock market leaders using centrality measures.This study finally provides a clustering of superior stocks that can be used as an optimal stock portfolio by investors.The statistical population of al More

  The purpose of this study is to create a Financial network to identify stock market leaders using centrality measures.This study finally provides a clustering of superior stocks that can be used as an optimal stock portfolio by investors.The statistical population of all stock exchanges is that the 100 companies with the most capital were selected as a statistical sample over a period of 11 years.Due to the nature of the research ranking, the Kendall correlation coefficient was used to calculate the correlation.The Prime algorithm was used to identify relationships and construct the minimum spanning tree, and the fast-greedy algorithm was used to cluster stocks.The results show that in terms of degree centrality measure, stocks of Sepahan Cement companies,Omid Investment Management and Bank Melli Investment, based on closeness centrality measure, stocks of Sepahan Cement companies,International Building Development, and Khuzestan Steel, based on Betweenness centrality measure, the stocks of Sepahan Cement, Ghadir Investment and Bank Melli Investments, and finally based on the bottleneck centrality measure,the shares of Sepahan Cement, Khuzestan Steel and International Building Development have the greatest impact on the stock exchange network. Also, the top stocks were classified into 11 clusters,each of which shows a strong relationship between its components. Manuscript profile
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  5 - Modeling the spread of risks in the financial network
  naser haghi seyfedin Nader Rezaei Rasoul ABDI yagob agdam mazrae
  The purpose of this study is to model the spread of risks in the financial network. In this study, using MATLAB software, the interdependencies of claims and liabilities of companies listed on the Tehran Stock Exchange as a financial network are modeled and the spread o More

  The purpose of this study is to model the spread of risks in the financial network. In this study, using MATLAB software, the interdependencies of claims and liabilities of companies listed on the Tehran Stock Exchange as a financial network are modeled and the spread of default in it is simulated. This research is among the applied researches. The statistical population of the studied information is 407 companies listed on the Tehran Stock Exchange in the period of 1393-1397. The results of this study emphasize the role of "contagious links" and show that the organizations that have the greatest impact on network instability have more contact with network members or a large proportion of contagious links. In this study, we consider a directional graph with a sequence of degrees and an optional weight distribution. Asymptotic results show that there is good agreement with simulation for networks of realistic size. In this study, we consider a directional graph with a sequence of degrees and an optional weight distribution. Asymptotic results show that there is good agreement with simulation for networks of realistic size. Manuscript profile
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  6 - A Review of Research on Financial Time Series Clustering: A Bibliometrics Approach
  Marziyeh Nourahmadi Fatemeh Rasti Hojjatollah Sadeqi
  10.30495/afi.2021.1919857.1002
  The amount of information and data we retrieve and use is growing rapidly. Data mining is the process of extracting relevant data from large volumes of data and the method of discovering and finding the appropriate pattern from large volumes of data sets. Clustering is More

  The amount of information and data we retrieve and use is growing rapidly. Data mining is the process of extracting relevant data from large volumes of data and the method of discovering and finding the appropriate pattern from large volumes of data sets. Clustering is one of the most common methods of statistical data analysis, and also one of the best data mining approaches. This approach, as a method of unsupervised learning, uses algorithms to classify time series data according to different criteria. The purpose of this study is to investigate the types of applications of clustering and networking in various financial fields, including risk, algorithmic trading, banking and other widely used topics in this field. In this research, using the bibliometrix package in the software, all the researches on clustering is reviewed. While extracting various criteria and clustering approaches, its applications have been studied. This study with a comprehensive review of all research in this field can help researchers as a toolbox to provide a variety of clustering methods in ideation and selection of appropriate methods in classifying and analyzing financial data. Manuscript profile
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  7 - Causes of Economic Network Survivability of Terrorist Organizations in the Middle East in Political Communication Era
  Tahereh Ebrahimi far امیر حامد آزاد
  Funding is operating engine of terrorist organizations (national and international Salafist armed organizations) in the Middle East. However, some of these organizations, such as Taliban and ISIS, with the establishment of the so-called state, have loaded the costs of w More

  Funding is operating engine of terrorist organizations (national and international Salafist armed organizations) in the Middle East. However, some of these organizations, such as Taliban and ISIS, with the establishment of the so-called state, have loaded the costs of welfare spending of their dominated areas to costs of their war and survival. Hence, consideration of different patterns indicates that national and International Salafist armed organizations, by benefiting from a vast financial network of NGOs, have achieved self-government. But it seems true that this autonomy is based on the determination of some governments to use these organizations for certain changes in the international system in order to achieve their relative benefits. Based on this pattern, the terrorist organizations in the Middle East, by serving the interests of one or more state actors, continue funding their network and thus have retained their survival. Relying on the doctrine of realism regarding the anarchic international system, the only way to undermine or destroy the national and international organization of Salafist financial network in the Middle East is implementing a strategy for increasing the costs of changes in the international system and prevent certain governments to the benefits that result from this process. Manuscript profile