2011年至2018年马来西亚商业银行创造银行流动性的技术效率

S. Ahmad, M. H. Yahya
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引用次数: 0

摘要

:银行在经济中最重要的作用之一是创造流动性。银行创造流动性包括所有资产负债表内和/或表外的金融活动,以促进有助于增长的长期投资。本研究的重点是根据资产负债表内的金融活动来衡量马来西亚商业银行创造流动性的技术效率。流动性创造采用 Berger 和 Bouwm ann(2009 年)提出的 "catnonfat "方法进行衡量。在 "catnonfat "方法中,本研究中评估的每家银行的所有资产负债表项目都被分为:流动性、半流动性和非流动性,从而得出相应年份的流动性创造总量。本研究的样本数据涵盖了 2011 年至 2018 年马来西亚银行业的 22 家商业银行。本研究中的银行分为:大型、中型和小型银行。据观察,大型银行是经济中创造流动性的最大贡献者。其次是由许多银行组成的中型银行,而对流动性创造贡献最小的是小型银行。通过采用与银行规模相关的非参数数据包络分析法(DEA),对银行技术效率进行了衡量。数据包络分析是银行业效率评估的常用方法,因为该方法能够适应多重输入和输出。因此,可以测量决策单元(DM)U 的效率,并比较不同 DMU 的效率水平。据观察,中型银行在整个期间创造流动性的效率最高。小型银行创造流动性的效率平均低于大型和中型银行。由于本研究只衡量了资产负债表内金融活动创造流动性的情况,因此建议进一步研究采用另一种方法,包括资产负债表外的金融活动,以考察整体的流动性创造效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical Efficiency of Bank Liquidity Creation For Malaysian Commercial Banks From 2011 to 2018
: One of the most important roles of banks in the economy is the provision to create liquidity. Bank liquidity creation incorporates all on-and/or off-balance sheet financial activities to foster long-term investments that contributes to growth. This study focused on measuring technical efficiency of bank liquidity creation for Malaysian commercial banks based on the on-balance sheet financial activities. Liquidity creation was measured using the ‘catnonfat’ approach introduced by Berger and Bouwm ann (2009). In the ‘catnonfat’ approach, all on-balance sheet items of each bank evaluated in this study were classified as: liquid, semi-liquid and illiquid to obtain the total liquidity creation for the respective year. The sample data in this study covered 22 commercial banks in the Malaysian banking sector from 2011 to 2018. The banks in this study were split into: large, medium and small sizes. It was observed that large banks were the greatest contributors to liquidity creation in the economy. They were followed by medium-sized banks which comprised many banks and the lowest contributors to liquidity creation were small-sized banks. Bank technical efficiency measurement was performed by employing non-parametric Data Envelopment Analysis (DEA) in relation to the size of the banks. DEA is the common approach for efficiency evaluation in the banking sector as the method is able to accommodate a multiple inputs and outputs. Therefore, the efficiency of decision-making unit (DM)U can be measured and the levels of efficiency of different DMUs can be compared. It is observed that medium sized banks were the most efficient in creating liquidity throughout the period. Small banks averagely less efficient than large and medium banks in creating liquidity. Since this study only measured liquidity creation from the on-balance sheet financial activities, further research is suggested to employ another approach that inclusive of the off-balance sheet to examine the overall
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