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An empirical study of liquidity risk embedded in banks' asset liability mismatches

机译:银行资产负债错配中流动性风险的实证研究

摘要

The correct measure and definition of liquidity in finance literature remains an unresolved empirical issue. The main objective of the present study was to develop, validate and test the liquidity mismatch index (LMI) developed by Brunnermeier, Krishnamurthy and Gorton (2012) empirically. Building on the work of these prior studies, the study undertook to develop a measure of liquidity that integrates both market liquidity and funding liquidity within a context of asset liability management. Liquidity mismatch indices were developed and then tested empirically to validate them by regressing them against the known determinants of liquidity. Furthermore, the study investigated the nexus between liquidity and profitability. The unit of analysis was a panel of 12 South African banks over the period 2005–2015.The study developed two liquidity measures – the bank liquidity mismatch index (BLMI) and the aggregate liquidity mismatch index (ALMI) – whose performances were compared to and contrasted with the Basel III liquidity measures and traditional liquidity measures using a generalised method of moments (GMM) model. Overall, the two constructed liquidity indices performed better than other liquidity measures. Significantly, the ALMI provided a better macro-prudential liquidity measure that can be utilised in dynamic stochastic general equilibrium (DSGE) models, thus presenting a major contribution to the body of knowledge. Unlike the LMI, the BLMI and ALMI can be used to evaluate the liquidity of a given bank under liquidity stress events, which are scaled by theoretically motivated and empirically supported liquidity weights. The constructed BLMI contains information regarding the liquidity risk within the context of asset liability mismatches, and the measure used comprehensive data from bank balance sheets and from financial market measures. The newly developed liquidity measures are based on portfolio management theory as they account for the significance of liquidity spirals. Empirical results show that banks increase their liquidity buffers during times of turmoil as both BLMI and ALMI improved during the period 2007–2009. Subsequently, the improvement in economic performance resulted in a rise in ALMI but a decrease in BLMI. We found no evidence to support the theory that banks, which heavily depend on external funding, end up in serious liquidity problems. The findings imply that any policy implemented with the intention of increasing bank capital is good for bank liquidity since the financial fragility–crowding-out hypothesis is outweighed by the risk absorption hypothesis because the relationship between capital and bank liquidity is positive.
机译:金融文献中流动性的正确度量和定义仍然是一个尚未解决的经验问题。本研究的主要目的是开发,验证和测试由Brunnermeier,Krishnamurthy和Gorton(2012)凭经验开发的流动性不匹配指数(LMI)。在这些先前研究的基础上,该研究承诺开发一种流动性度量,在资产负债管理的背景下将市场流动性和资金流动性整合在一起。制定了流动性不匹配指数,然后通过对已知流动性决定因素进行回归来进行经验检验,以验证它们。此外,该研究调查了流动性和盈利能力之间的联系。分析单位是2005年至2015年期间由12家南非银行组成的小组。该研究制定了两种流动性衡量标准–银行流动性不匹配指数(BLMI)和总流动性不匹配指数(ALMI)–分别与与巴塞尔协议III的流动性度量和传统的流动性度量(使用广义矩方法(GMM)模型)形成对比。总体而言,两个构建的流动性指数表现优于其他流动性指标。重要的是,ALMI提供了更好的宏观审慎流动性度量,可用于动态随机一般均衡(DSGE)模型,从而为知识体系做出了重要贡献。与LMI不同,BLMI和ALMI可用于评估在流动性压力事件下给定银行的流动性,这些流动性由理论动机和经验支持的流动性权重进行缩放。所构建的BLMI包含有关资产负债错配情况下的流动性风险的信息,并且该度量使用了来自银行资产负债表和金融市场度量的综合数据。新开发的流动性度量基于投资组合管理理论,因为它们考虑了流动性螺旋的重要性。实证结果表明,在动荡时期,由于BLMI和ALMI均有所改善,银行增加了流动性缓冲。随后,经济绩效的改善导致ALMI上升,而BLMI下降。我们没有证据支持这一理论,即严重依赖外部资金的银行最终会面临严重的流动性问题。研究结果表明,任何旨在增加银行资本的政策都对银行流动性有利,因为金融脆弱性-挤出假设被风险吸收假设所抵消,因为资本与银行流动性之间的关系是正的。

著录项

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    Marozva Godfrey;

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  • 年度 2017
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  • 正文语种 en
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