Raphaël Chiappini , Bertrand Groslambert , Olivier Bruno
{"title":"衡量银行产出的方法,同时排除信贷风险并保留流动性效应。","authors":"Raphaël Chiappini , Bertrand Groslambert , Olivier Bruno","doi":"10.1016/j.qref.2024.01.007","DOIUrl":null,"url":null,"abstract":"<div><p>The current method of calculating nominal bank output in the national accounts has significant shortcomings. Discussions to remedy this have been ongoing for several years. We propose a new method that addresses the flaws of the current approach of the System of National Accounts. We implement a simple model-free method that removes the ’pure’ credit risk premium from the production of banks while keeping the liquidity provision as part of the total nominal bank output. Using both local projections and autoregressive distributed lag models, we show that our method produces nominal bank output estimates that are consistent with the evolution of the economic activity and that remain always positive including during periods of financial stress. This method satisfies the four conditions set by the Inter-Secretariat Working Group on National Accounts. Furthermore, our method reveals that the nominal banking output of the eurozone is overestimated by approximately 40% over the period 2003–2017.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1062976924000139/pdfft?md5=306fe2681ac20dab9392dc6038078826&pid=1-s2.0-S1062976924000139-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A method to measure bank output while excluding credit risk and retaining liquidity effects\",\"authors\":\"Raphaël Chiappini , Bertrand Groslambert , Olivier Bruno\",\"doi\":\"10.1016/j.qref.2024.01.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The current method of calculating nominal bank output in the national accounts has significant shortcomings. Discussions to remedy this have been ongoing for several years. We propose a new method that addresses the flaws of the current approach of the System of National Accounts. We implement a simple model-free method that removes the ’pure’ credit risk premium from the production of banks while keeping the liquidity provision as part of the total nominal bank output. Using both local projections and autoregressive distributed lag models, we show that our method produces nominal bank output estimates that are consistent with the evolution of the economic activity and that remain always positive including during periods of financial stress. This method satisfies the four conditions set by the Inter-Secretariat Working Group on National Accounts. Furthermore, our method reveals that the nominal banking output of the eurozone is overestimated by approximately 40% over the period 2003–2017.</p></div>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1062976924000139/pdfft?md5=306fe2681ac20dab9392dc6038078826&pid=1-s2.0-S1062976924000139-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1062976924000139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1062976924000139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
A method to measure bank output while excluding credit risk and retaining liquidity effects
The current method of calculating nominal bank output in the national accounts has significant shortcomings. Discussions to remedy this have been ongoing for several years. We propose a new method that addresses the flaws of the current approach of the System of National Accounts. We implement a simple model-free method that removes the ’pure’ credit risk premium from the production of banks while keeping the liquidity provision as part of the total nominal bank output. Using both local projections and autoregressive distributed lag models, we show that our method produces nominal bank output estimates that are consistent with the evolution of the economic activity and that remain always positive including during periods of financial stress. This method satisfies the four conditions set by the Inter-Secretariat Working Group on National Accounts. Furthermore, our method reveals that the nominal banking output of the eurozone is overestimated by approximately 40% over the period 2003–2017.