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Do High Customer Bank Deposits Incite Management Fraud?udExamining Causes of Management Fraud in the Nigerian Banking Sector

机译:高客户银行存款会煽动管理欺诈吗? ud检查尼日利亚银行业管理欺诈的原因

摘要

The study investigates factors that incite fraud in the banking sector in Nigeria, using times series data for fraud obtained from CBN data from 1998 to 2010. It was found that high bank deposit were primarily responsible for a high rise fraudulent occurrences in the Nigerian banking sector particularly management fraud, some other factors that were also jointly responsible for these occurrences include high interest rates, low commercial bank lending and poor oversight function by the Central Bank and other financial regulatory agencies. The method of estimation used in the study is the quantile regressionudestimation method which is a non parametric estimation method based on the premise that the sample median will tend to that of the distributional median, it presents some obvious advantages over OLS (ordinary least squares) estimates, since the results are robust in the presence of outliers and heteroscedastic errors in the response measurement and allows for the exploration of other central tendencies and statistical dispersion properties of the dataset Machando and Silva (2013). The results are robust even after controlling for presence of heterscedastic error in the response measurement as well re-sampling the dataset (conducted by the bootstrapped quantile regression technique). Further explanation is also provided for the implication of variables identified to drive fraud occurrences using kernel density estimation.
机译:该研究使用时间序列数据(从1998年至2010年从CBN数据中获取的欺诈行为)调查了尼日利亚银行业中引起欺诈的因素。发现,高银行存款是造成尼日利亚银行业欺诈行为增加的主要原因。特别是管理层的欺诈行为,也共同导致这些事件发生的其他一些因素包括高利率,商业银行贷款较低以及中央银行和其他金融监管机构的不良监督职能。研究中使用的估计方法是分位数回归去估计法,这是一种非参数估计方法,其前提是样本中位数将趋向于分布中位数,与OLS(普通最小二乘)相比,具有一些明显的优势。 )估计值,因为在响应测量中存在异常值和异方差误差的情况下,结果是可靠的,并允许探索数据集Machando和Silva(2013)的其他中心趋势和统计分散特性。即使在响应测量中控制了异方差误差的存在以及对数据集重新采样(由自举分位数回归技术进行)之后,结果仍然是可靠的。还提供了进一步的解释,以说明使用内核密度估计识别出的驱动欺诈行为的变量的含义。

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