List of Articles Financial Contagion

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  1 - Predicting Financial Contagion from Generating shock in Investment Institutions Activated in Capital Market due to Overlapping Portfolios Risk
  Alireza Rayati Shavazi Abbas Rezaei Pandari
  The risk of maintaining shared assets or overlapping portfolios risk is one of channels that cause financial contagion. Since a shock in an investor institution can spread to other investment institutions and cause great damage to them and the entire stock market and ev More

  The risk of maintaining shared assets or overlapping portfolios risk is one of channels that cause financial contagion. Since a shock in an investor institution can spread to other investment institutions and cause great damage to them and the entire stock market and even cause a crisis in the economy, therefore; The main goal of this research is to provide a model for predicting financial contagion caused by a shock in investor institutions in Tehran Stock Exchange based on overlapping portfolios risk. This research is an analytical survey that was conducted using the statistical method of discriminant analysis. In order to investigate the goal, based on the data related to the stock portfolio of the investing institutions in the Tehran Stock Exchange, a multi-variable discriminant model for predicting financial contagion based on shocks in financial institutions has been presented. The results indicate that "risky assets value of the investment institution", "Debt value of the investment institution" and "Degree of the investing institution portfolio" have been validated as independent variables. Supervision departments can use the models presented in this study to identify industrial groups that have a high risk of overlapping portfolios and maintain the stability of the financial system by taking appropriate decisions. Manuscript profile
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  2 - Systemic risk assessment of the banking system by modeling of the topology of the interbank market network
  tayebeh zanganeh Mohammad Ali Rastegar kazem Chavoshi mirfeiz Fallah Shams
  The objective of this paper is to analyze the network topology of the Iranian overnight money market through methods of statistical mechanics applied to complex networks in order to assessing systemic risk. We investigate differences in the activities of 33 Iranian bank More

  The objective of this paper is to analyze the network topology of the Iranian overnight money market through methods of statistical mechanics applied to complex networks in order to assessing systemic risk. We investigate differences in the activities of 33 Iranian banks dividing into different four types between 2010-2015 by analyzing 66 montly adjacency matrixs. Using degree distribution analysis of the networks, we find that that Iranian interbank market network is scale-free network and cumulative degree, in-degree and out-degree follows the power-law distribution. In terms of the criterion of assortativity, the interbank market network of Iran is assortative and core-periphery with one or more banks as the money center. The results show that the Iranian interbank network is vulnerable to shocks and has high level of systemic risk. Also, in the event of failure, the most vulnerable group is to privatized and specialist governmental banks, and the private banks, due to the high volume of exchanges and net negative flows, can put a considerable systemic risk to the interbank market network. Manuscript profile
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  3 - Contagious topological dynamics in the Iranian stock market
  samad sedaghati Ruhollah Farhadi Mir Feyz Fallashams
  Contagion in financial markets takes place both because of fundamental or non-fundamental reasons like herd behaviors that can increase market risk levels and even end in inefficient allocation of financial resources. Thus, understanding the contagion and its dynamics w More

  Contagion in financial markets takes place both because of fundamental or non-fundamental reasons like herd behaviors that can increase market risk levels and even end in inefficient allocation of financial resources. Thus, understanding the contagion and its dynamics will be critical for the participants of financial market. Hence, using network-based epidemic modeling, the study examined the dynamics of contagion in the Iranian stock market from 2011 to 2019 and short-term and long-term scales. To this end, first the correlation network of 46 Iranian stock market groups was developed and then analyzed using short-term and long-term contagion dynamics simulations. The results showed that the extent and speed of contagion is much higher in the short-term than in long-term and in long-term a significant number of groups can be immune to the contagion. However, in long-term the rate of return to pre-contagion status is shorter than in short-term Manuscript profile
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  4 - The Analysis and Test of Spillover and Volatility of Global Markets for Petrochemical Products and Base Metals (Based on Copula family models)
  Mahsa Banakar Hashem nikoomaram Hasan Ghalibaf Asl Mehrzad Minouie
  Fluctuations in commodity prices in global markets have always influenced the behavior and decisions of investors in financial markets. In this research, using the Copula family models, financial contagion or volatility spillover on global price of petrochemical product More

  Fluctuations in commodity prices in global markets have always influenced the behavior and decisions of investors in financial markets. In this research, using the Copula family models, financial contagion or volatility spillover on global price of petrochemical products and base metals on the on the stock price index of eight selected industries of Tehran Stock Exchange listed companies during a period of 10 years (2008-2018) has been reviewed. The research method is descriptive-analytical in nature and applied in terms of purpose. The research hypotheses were tested using an econometric approach based on Copula models and programming in MATLAB software. The results show that the effects of overflow of these variables on the index of selected industries are significant but different.Examination of different models of Copula method showed that T-Student model is most suitable for transmitting spillover effects, which indicates the symmetrical effects of price variables in global markets of petrochemical products and base metals on the index performance of selected industries. And then Clayton and Gumble models are in the next rank. Manuscript profile
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  5 - The Analysis and Test of Spillover and Volatility Models in Tehran Stock Exchange (based on Copula family model)
  Mahsa Banakar Hashem Nikoomaram Hasan Ghalibaf Asl Mehrzad Minouei
  The present research examines the Financial Contagion or Volatility Spillover by financial assets such as exchange rates, gold and global variables on the stock market index. The correlation and Contagion between variables of global prices of gold, oil, and the dollar e More

  The present research examines the Financial Contagion or Volatility Spillover by financial assets such as exchange rates, gold and global variables on the stock market index. The correlation and Contagion between variables of global prices of gold, oil, and the dollar exchange rate on the index of 8 selected Tehran stock exchange industries over a period of 10 years (2008-2018) was examined. Method of the research is applied in terms of purpose and analytical-descriptive in terms of the nature. To test the research hypotheses using econometric approach based on Copula models, programming was performed in MATLAB software. The results of the show that the effects of volatility spillover of these variables on the index of selected industries are significant but different. The different models of the Copula method show that the Clayton and Gumbel models are most suitable for transmitting spillover effects in the upper and lower distribution of the range. The t-student model is in the next rank. In other words, the overflow effects of macro variables mostly affect one of the high (positive return) and low (negative return) domains, which indicates the existence of asymmetric effects on the return behavior of the selected industries of the stock exchange. Manuscript profile
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  6 - Financial Contagion Investigation of the Systemic Risk of Currency and Cryptocurrency in the Global Financial Markets (BEKK Approach)
  Ali Baghban Reza Gholami Jamkarani Mir Feyz Fallah Hamidreza Kordlouie
  The present study has investigated the contagious risk of turbulence.In this study, the contagious effect of real and virtual currency (Bitcoin) fluctuations has been measured. In this regard, the method of self-regression vector analysis (VAR) and the conditional autor More

  The present study has investigated the contagious risk of turbulence.In this study, the contagious effect of real and virtual currency (Bitcoin) fluctuations has been measured. In this regard, the method of self-regression vector analysis (VAR) and the conditional autoregressive model on the heterogeneity of multivariate generalized variances (MGARCH) have been used.The data used in this study, including the exchange rate of the dollar based on the euro and the price of bitcoin in the period 01/2015 and 2020/01, were collected and examined by the generalized multivariate conditional variance heterogeneity (BEKK) method. The present study is based on the classification of research based on method, nature and direction, respectively descriptive survey, applied and post-event. The results of this study confirm the relationship between the volatility of real currency and virtual currency. In other words, the main hypothesis of the research on the contagion of virtual and real exchange rate fluctuations has been confirmed unilaterally from virtual exchange rate to real exchange rate. Manuscript profile