Assessing the Systemic Risk in the Financial System of Iran using Granger Causality Network Method

Document Type : Research Paper

Authors

1 Ph.D. Candidate, Department of Accounting, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

2 Associate Prof., Department of Accounting, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

3 Associate Prof., Department of Economics, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

Abstract

Objective: Systemic risk occurs when failure or crisis in a particular segment of a market propagates to other segments and develops into a pervasive crisis, so that the loss incurred by one or more influential major institutions spreads to others.The precise and timely identification of systemic risk is an indispensable necessity in each country's financial system to prevent a financial crisis. In this regard, this study seeks to evaluate the systemic risk in Iran financial system.
Methods: In the present study, we try to evaluate the systemic risk in the financial system of the country including banks, investment and insurance companies between 2011 and 2017 using Granger Causality Network method.
Results: According to the results of this study, banking and insurance sectors have the highest and lowest systemic risk, respectively. In addition, the results showed that the systemic relationship between financial institutions changes over time. Finally, the Rank regression was used to validate the results of the research and it was found that the extracted results enjoy adequate validity.
Conclusion: The results showed that, among the three sectors, banking sector imposed the largest impacts on others indicating high level of systemic risk in this sector. In other words, as a part of financial system of the country, banking system is of higher systemic importance than the other sectors, so that a possible crisis in this sector may easily spread to other sectors given its relatively large influence on other sectors.
 

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References

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Financial Research Journal
Volume 21, Issue 1
2019
Pages 121-142

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