{"title":"Banking Networks, Systemic Risk, and the Credit Cycle in Emerging Markets","authors":"Sanjiv Ranjan Das, Madhu Kalimipalli, Subhankar Nayak","doi":"10.2139/ssrn.3520343","DOIUrl":null,"url":null,"abstract":"This paper extends a large literature on systemic risk in the US, Europe, and other developed countries to emerging markets, which are relatively under-researched. Findings are based on a large-scale empirical examination of systemic risk among 1048 financial institutions in a sample of 23 emerging markets, broken down into 5 regions, along with 369 U.S. financial institutions. Using an additively decomposable systemic risk score that combines banking system interconnectedness with default probabilities, systemic risk is quantified for each region, across time. The empirical analyses suggest that emerging markets’ systemic risk is heterogeneous across regions, is strongly dependent on the interconnectedness of the banking system within each region, and predicts the level of default risk in each region, while the regions are compartmentalized away from each other and insulated from the United States. The systemic risk score may be used as a policy variable in each emerging market region to manage the credit cycle.","PeriodicalId":283702,"journal":{"name":"ERN: Financial Crises (Monetary) (Topic)","volume":"22 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Financial Crises (Monetary) (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3520343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper extends a large literature on systemic risk in the US, Europe, and other developed countries to emerging markets, which are relatively under-researched. Findings are based on a large-scale empirical examination of systemic risk among 1048 financial institutions in a sample of 23 emerging markets, broken down into 5 regions, along with 369 U.S. financial institutions. Using an additively decomposable systemic risk score that combines banking system interconnectedness with default probabilities, systemic risk is quantified for each region, across time. The empirical analyses suggest that emerging markets’ systemic risk is heterogeneous across regions, is strongly dependent on the interconnectedness of the banking system within each region, and predicts the level of default risk in each region, while the regions are compartmentalized away from each other and insulated from the United States. The systemic risk score may be used as a policy variable in each emerging market region to manage the credit cycle.