流动性风险与资产负债错配:来自南非的证据

Q4 Economics, Econometrics and Finance Journal for Studies in Economics and Econometrics Pub Date : 2020-04-01 DOI:10.1080/10800379.2020.12097357
G. Marozva, D. Makina
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引用次数: 5

摘要

利用2005年至2015年期间的南非银行小组,我们进一步开发、验证和测试了Bai、Krishnamurthy和Weymuller(2018)开发的负债错配指数(LMI)。与他们的方法不同,我们制定了整合市场流动性和融资流动性的流动性指标。开发的两种流动性指标是银行流动性错配指数(BLMI)和总流动性错匹配指数(ALMI),它们的表现与巴塞尔协议III流动性指标和传统流动性指标进行了比较和对比。总体而言,这两个构建的流动性指数表现优于其他流动性指标。与LMI不同,BLMI和ALMI可用于评估特定银行在流动性压力事件下的流动性。我们的实证结果虽然不显著,但也表明,随着2007-2009年期间BLMI和ALMI的改善,银行在动荡时期增加了流动性缓冲。
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Liquidity Risk and Asset Liability Mismatches: Evidence From South Africa
Using a panel of South African banks covering the period from 2005 t o 2015, we further develop, validate and test the liability mismatch index (LMI) developed by Bai, Krishnamurthy and Weymuller (2018). Deviating from their approach, we develop measures of liquidity that integrate both market liquidity and funding liquidity. Two liquidity measures developed are the bank liquidity mismatch index (BLMI) and the aggregate liquidity mismatch index (ALMI) whose performances are compared and contrasted with the Basel III liquidity measures and traditional liquidity measures. Overall, the two constructed liquidity indices perform better than other liquidity measures. Unlike the LMI, the BLMI and ALMI can be used to evaluate the liquidity of a given bank under liquidity stress events. Our empirical results, though not significant, also show that banks increase their liquidity buffers during times of turmoil as both BLMI and ALMI improved during the period 2007-2009.
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来源期刊
Journal for Studies in Economics and Econometrics
Journal for Studies in Economics and Econometrics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
0.80
自引率
0.00%
发文量
14
期刊介绍: Published by the Bureau for Economic Research and the Graduate School of Business, University of Stellenbosch. Articles in the field of study of Economics (in the widest sense of the word).
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