Difference between the Determinants of Operational Risk Reporting in Islamic and Conventional Banks: Evidence from Saudi Arabia

IF 0.4 4区 经济学 Q4 BUSINESS, FINANCE Journal of Operational Risk Pub Date : 2020-01-27 DOI:10.21314/JOP.2019.235
Wael Hemrit
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引用次数: 4

Abstract

In this study, we investigate the operational risk reporting practices of Islamic banking institutions (IBIs) and conventional banks (CBs) in Saudi Arabia. Moreover, we explore the joint effect of banking characteristics, corporate governance and credit rating on the informational content of operational risk disclosure (OpRiskDISC). We use content analysis to collect OpRiskDISC data from annual reports during the period 2008–15. The results for each bank type show that the enhanced OpRiskDISC in IBIs is negatively associated with the number of bank branches, the financial stability of the bank, board meeting frequency, the proportion of independent members and credit rating. The results for CBs demonstrate that a bank’s size and financial stability are positively associated with OpRiskDISC. Conversely, the OpRiskDISC level is negatively affected by board meeting frequency and the number of bank branches. For the overall sample, our empirical results show that bank size, compliance with Sharia requirements and board size have a positive, significant effect on OpRiskDISC, while the number of bank branches and the proportion of independent members on the board have a negative, significant relationship with the disclosure level.
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伊斯兰银行和传统银行操作风险报告决定因素的差异:来自沙特阿拉伯的证据
在本研究中,我们调查了沙特阿拉伯伊斯兰银行机构(ibi)和传统银行(CBs)的操作风险报告实践。此外,我们还探讨了银行特征、公司治理和信用评级对操作风险披露信息含量的共同影响(OpRiskDISC)。我们使用内容分析从2008 - 2015年的年度报告中收集OpRiskDISC数据。各银行类型的结果表明,ibi的OpRiskDISC增强与银行分支机构数量、银行财务稳定性、董事会会议频率、独立成员比例和信用评级呈负相关。商业银行的结果表明,银行的规模和财务稳定性与OpRiskDISC呈正相关。相反,OpRiskDISC水平受到董事会会议频率和银行分支机构数量的负向影响。对于整体样本,我们的实证结果表明,银行规模、遵守伊斯兰教法要求和董事会规模对OpRiskDISC有显著的正向影响,而银行分支机构数量和董事会独立成员比例对披露水平有显著的负向影响。
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来源期刊
Journal of Operational Risk
Journal of Operational Risk BUSINESS, FINANCE-
CiteScore
1.00
自引率
40.00%
发文量
6
期刊介绍: In December 2017, the Basel Committee published the final version of its standardized measurement approach (SMA) methodology, which will replace the approaches set out in Basel II (ie, the simpler standardized approaches and advanced measurement approach (AMA) that allowed use of internal models) from January 1, 2022. Independently of the Basel III rules, in order to manage and mitigate risks, they still need to be measurable by anyone. The operational risk industry needs to keep that in mind. While the purpose of the now defunct AMA was to find out the level of regulatory capital to protect a firm against operational risks, we still can – and should – use models to estimate operational risk economic capital. Without these, the task of managing and mitigating capital would be incredibly difficult. These internal models are now unshackled from regulatory requirements and can be optimized for managing the daily risks to which financial institutions are exposed. In addition, operational risk models can and should be used for stress tests and Comprehensive Capital Analysis and Review (CCAR). The Journal of Operational Risk also welcomes papers on nonfinancial risks as well as topics including, but not limited to, the following. The modeling and management of operational risk. Recent advances in techniques used to model operational risk, eg, copulas, correlation, aggregate loss distributions, Bayesian methods and extreme value theory. The pricing and hedging of operational risk and/or any risk transfer techniques. Data modeling external loss data, business control factors and scenario analysis. Models used to aggregate different types of data. Causal models that link key risk indicators and macroeconomic factors to operational losses. Regulatory issues, such as Basel II or any other local regulatory issue. Enterprise risk management. Cyber risk. Big data.
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