Do the Attributes of Audit Committee Explain Non-Performing Loans? Evidence from an Emerging Economy

IF 0.3 Q4 BUSINESS, FINANCE
Arifa Akter, M. K. Hossain, M. Alam, Md. Shajul Islam
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引用次数: 2

Abstract

This study examined whether various attributes of the audit committee of listed banks in Bangladesh explain the level of non-performing loans (NPLs). This study used a panel data set comprising all 30 listed banks with 250 bank-year observations for the period 2013–2017. It employed the random-effects GLS regression model with cluster robust standard error and AR (1) disturbance to examine the effect of several audit committee attributes on NPLs. We found that holding audit committee meetings frequently and a higher number of independent members in the audit committee facilitate to reduce NPLs. We, however, find no explicit evidence that the other attributes of the audit committee examined (audit committee size, financial experience and financial literacy of the audit committee members, professional qualifications of the audit committee Chairman) contribute in reducing NPLs. The findings will be useful for policymakers of the banking sector in Bangladesh and the relevant regulatory bodies in enabling them to understand the role of the various attributes of the audit committee in the incidence of NPLs. Keywords: attributes, audit committee, non-performing loans (NPLs), listed banks, Bangladesh
审计委员会的属性能解释不良贷款吗?来自新兴经济体的证据
本研究考察了孟加拉国上市银行审计委员会的各种属性是否解释了不良贷款(NPLs)水平。本研究使用了一个面板数据集,包括所有30家上市银行,以及2013-2017年期间250家银行年的观察结果。本文采用具有聚类鲁棒标准误差和AR(1)扰动的随机效应GLS回归模型,检验了审计委员会若干属性对不良贷款的影响。我们发现,频繁召开审计委员会会议和增加审计委员会独立成员的数量有助于减少不良贷款。然而,我们没有发现明确的证据表明审计委员会审查的其他属性(审计委员会规模、审计委员会成员的财务经验和财务素养、审计委员会主席的专业资格)有助于减少不良贷款。研究结果将有助于孟加拉国银行业的政策制定者和相关监管机构,使他们能够了解审计委员会的各种属性在不良贷款发生率中的作用。关键词:属性,审计委员会,不良贷款,上市银行,孟加拉国
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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