{"title":"衡量俄罗斯银行系统的系统性资金流动性风险","authors":"Irina K. Andrievskaya","doi":"10.2139/ssrn.2086316","DOIUrl":null,"url":null,"abstract":"The 2007-2009 global financial crisis demonstrated the need for effective systemic risk measurement and regulation. This paper proposes a straightforward approach for estimating the systemic funding liquidity risk in a banking system and identifying systemically critical banks. Focusing on the surplus of highly liquid assets above due payments, we find systemic funding liquidity risk can be expressed as the distance of the aggregate liquidity surplus from its current level to its critical value. Calculations are performed using simulated distribution of the aggregate liquidity surplus determined using Independent Component Analysis. The systemic importance of banks is then assessed based on their contribution to variation of the liquidity surplus in the system. We apply this methodology to the case of Russia, an emerging economy, to identify the current level of systemic funding liquidity risk and rank banks based on their systemic relevance.","PeriodicalId":259955,"journal":{"name":"ERN: Open Macroeconomics in Transition Economics (Topic)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Measuring Systemic Funding Liquidity Risk in the Russian Banking System\",\"authors\":\"Irina K. Andrievskaya\",\"doi\":\"10.2139/ssrn.2086316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The 2007-2009 global financial crisis demonstrated the need for effective systemic risk measurement and regulation. This paper proposes a straightforward approach for estimating the systemic funding liquidity risk in a banking system and identifying systemically critical banks. Focusing on the surplus of highly liquid assets above due payments, we find systemic funding liquidity risk can be expressed as the distance of the aggregate liquidity surplus from its current level to its critical value. Calculations are performed using simulated distribution of the aggregate liquidity surplus determined using Independent Component Analysis. The systemic importance of banks is then assessed based on their contribution to variation of the liquidity surplus in the system. We apply this methodology to the case of Russia, an emerging economy, to identify the current level of systemic funding liquidity risk and rank banks based on their systemic relevance.\",\"PeriodicalId\":259955,\"journal\":{\"name\":\"ERN: Open Macroeconomics in Transition Economics (Topic)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Open Macroeconomics in Transition Economics (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2086316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Open Macroeconomics in Transition Economics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2086316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring Systemic Funding Liquidity Risk in the Russian Banking System
The 2007-2009 global financial crisis demonstrated the need for effective systemic risk measurement and regulation. This paper proposes a straightforward approach for estimating the systemic funding liquidity risk in a banking system and identifying systemically critical banks. Focusing on the surplus of highly liquid assets above due payments, we find systemic funding liquidity risk can be expressed as the distance of the aggregate liquidity surplus from its current level to its critical value. Calculations are performed using simulated distribution of the aggregate liquidity surplus determined using Independent Component Analysis. The systemic importance of banks is then assessed based on their contribution to variation of the liquidity surplus in the system. We apply this methodology to the case of Russia, an emerging economy, to identify the current level of systemic funding liquidity risk and rank banks based on their systemic relevance.