Determinants of Audit Report Lag of Commercial Banks in Nepal

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Biometrics Pub Date : 2020-09-24 DOI:10.5539/IJBM.V15N10P108
B. Bhattarai
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引用次数: 1

Abstract

The purpose of the study to analyzed the determinants of audit report lag of commercial banks in Nepal. The secondary balance panel data of seven commercial banks for the period of 2013/2014 to 2017/ 2018, latest five years fresh data for the analysis. The sample have been choice from the convenience sampling technique. The descriptive statistics, correlational and casual comparative research design has been employed. The study has been selected audit report lag as dependent variable and return of total assets (ROA), leverage, size of bank, size of board, and bank age as independent variables. The result has been analysis by three different models like Pooled OLS, Fixed Effects and Random Effects Model with the help of Gretl Statistical Software version 1.9.4. The result of Poled OLS and Random Effects Model has appropriate of this cases. In the Fixed Effects Model has not prediction of statically because there is not any variable significant. The study found that leverage and board size are the determinants of audit report lag in the Nepalese commercial banks perspectives. The study also found that the minimum 18 days to maximum 242 days lag of audit report of sample banks. The study concluded that leverage and board size have major determinants of audit report lag in Nepalese samples banks perspectives.
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尼泊尔商业银行审计报告滞后的影响因素
本研究的目的是分析尼泊尔商业银行审计报告滞后的影响因素。七家商业银行2013/2014年至2017/ 2018年的次级资产负债表数据,最近五年的新鲜数据进行分析。样本选择采用方便抽样技术。本研究采用描述性统计、相关研究和随机比较研究设计。本研究选取审计报告滞后为因变量,总资产收益率(ROA)、杠杆率、银行规模、董事会规模和银行年龄为自变量。利用Gretl统计软件1.9.4版对结果进行了Pooled OLS、Fixed Effects和Random Effects三种不同模型的分析。Poled OLS和随机效应模型的结果适合于这种情况。在固定效应模型中,由于没有任何变量具有显著性,所以没有进行静态预测。研究发现,杠杆和董事会规模是尼泊尔商业银行审计报告滞后的决定因素。研究还发现,样本银行审计报告的滞后时间从18天到242天不等。研究得出结论,杠杆和董事会规模是尼泊尔样本银行审计报告滞后的主要决定因素。
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来源期刊
International Journal of Biometrics
International Journal of Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.50
自引率
0.00%
发文量
46
期刊介绍: Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.
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