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Journal of Operational Risk最新文献

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A text analysis of operational risk loss descriptions 操作风险损失的文本分析描述
IF 0.5 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2023-01-01 DOI: 10.21314/jop.2023.003
Davide Di Vincenzo, F. Greselin, Fabio Piacenza, R. Zitikis
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引用次数: 0
Audit committee characteristics and the audit report lag in Greece 希腊审计委员会特点与审计报告滞后
IF 0.5 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2023-01-01 DOI: 10.21314/jop.2022.032
Michail Nerantzidis, George Drogalas, T. Lazarides, Evangelos Chytis, D. Mitskinis
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引用次数: 1
Changes in operational risk and its determinants under Covid-19 Covid-19下操作风险及其决定因素的变化
IF 0.5 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jop.2022.018
Zongrun Wang, Haiqin Fu, Ling Zhou
This examines the direct impact of the Covid-19 pandemic on the operational risk of Chinese commercial banks and the moderating effect of bank size, business diversification and regulatory records. To address the lack of data in operational risk studies, we gather financial statements on operational risk to obtain empirical proxy variables. We conduct an empirical study using 639 financial statements from 20 listed commercial banks in China from 2011 Q4 to 2021 Q3 and find that the Covid-19 pandemic has increased the operational risk of commercial banks. Moreover, business diversification, bank size and poor regulatory record significantly increase the operational risk effects of the pandemic. Finally, we test the robustness of our results, supporting our conclusions and providing new insights into the interaction between the Covid-19 pandemic and banks’ operational risk. © 2022 Infopro Digital Risk (IP) Limited.
本研究考察了新冠肺炎疫情对中国商业银行操作风险的直接影响,以及银行规模、业务多样化和监管记录的调节作用。为了解决操作风险研究中数据不足的问题,我们收集了有关操作风险的财务报表,以获得经验代理变量。我们对中国20家上市商业银行2011年第四季度至2021年第三季度的639份财务报表进行了实证研究,发现新冠肺炎疫情增加了商业银行的操作风险。此外,业务多样化、银行规模和糟糕的监管记录大大增加了疫情对操作风险的影响。最后,我们测试了结果的稳健性,支持了我们的结论,并为Covid-19大流行与银行操作风险之间的相互作用提供了新的见解。©2022 Infopro Digital Risk (IP) Limited。
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引用次数: 0
Technology risk management in fintech: underlying mechanisms and challenges 金融科技的技术风险管理:潜在的机制和挑战
IF 0.5 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jop.2022.022
Xiaohui Chen, Hongwei Zhang, Lei Teng
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引用次数: 2
Modeling very large losses. II 模拟非常大的损失。2
IF 0.5 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jop.2022.030
H. Gzyl
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引用次数: 0
Revisiting the linkage between internal audit function characteristics and internal control quality 重新审视内部审计职能特征与内部控制质量之间的联系
IF 0.5 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jop.2021.015
Iakovos D. Michailidis, Kyriaki Alexandridou, Michail Nerantzidis, George Drogalas
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引用次数: 0
Evaluation of backtesting on risk models based on data envelopment analysis 基于数据包络分析的风险模型回测评价
IF 0.5 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jop.2021.014
Grigorios Kontaxis, I. Tsolas
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引用次数: 1
Modeling multivariate operational losses via copula-based distributions with g-and-h marginals 通过基于copula的g和h边际分布建模多变量操作损失
IF 0.5 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jop.2021.016
M. Bee, J. Hambuckers
We propose a family of copula-based multivariate distributions with g-and- h marginals. After studying the properties of the distribution, we develop a two-step estimation strategy and analyze via simulation the sampling distribution of the estimators. The methodology is used for the analysis of a 7-dimensional dataset containing 40,871 operational losses. The empirical evidence suggests that a distribution based on a single copula is not flexible enough, thus we model the dependence structure by means of vine copulas. We show that the approach based on regular vines improves the fit. Moreover, even though losses corresponding to different event types are found to be dependent, the assumption of perfect positive dependence is not supported by our analysis. As a result, the Value-at-Risk of the total operational loss distribution obtained from the copula- based technique is substantially smaller at high confidence levels, with respect to the one obtained using the common practice of summing the univariate Value-at-Risks.
我们提出了一类具有g和- h边际的基于copuls的多元分布。在研究了分布的性质之后,我们提出了一种两步估计策略,并通过仿真分析了估计量的抽样分布。该方法用于分析包含40,871个操作损失的7维数据集。经验证据表明,基于单一联结的分布不够灵活,因此我们使用藤联结来建模依赖结构。我们证明了基于规则藤蔓的方法可以改善拟合。此外,即使发现不同事件类型对应的损失是依赖的,但我们的分析并不支持完全正依赖的假设。因此,相对于使用单变量风险值求和的常见做法获得的风险值,基于copula的技术获得的总运营损失分布的风险值在高置信度下要小得多。
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引用次数: 1
Systemic operational risk in the Australian banking system: the Royal Commission 澳大利亚银行系统的系统性操作风险:皇家委员会
IF 0.5 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jop.2022.025
P. Mcconnell
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引用次数: 0
How does the pandemic change operational risk? Evidence from textual risk disclosures in financial reports 大流行如何改变业务风险?来自财务报告文本风险披露的证据
IF 0.5 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jop.2022.017
Yinghui Wang, Ya-Feng Chang, Jianping Li
This paper studies how the Covid-19 pandemic changed the operational risk profiles of the financial industry. We find that the textual risk disclosures in financial reports contain abundant information on operational risk. A text mining method is introduced to analyze changes in operational risk in an innovative way based on a massive textual data set of financial institutions’ textual risk disclosures, which aggregates senior managers’ risk perceptions of the whole financial industry. Based on 4624 financial reports released by 1330 financial institutions from 2017 to 2020, this empirical study finds that operational risk remained the most prominent major risk type after the outbreak of Covid-19, and that disclosures of operational risk increased by 5.19% compared with the samples from before the outbreak. The drivers of operational risk also changed, with significant increases in disclosure of litigation risk, transaction modes and product and service problems as a proportion of total disclosures. In addition, two emerging operational risk drivers identified during the pandemic are data safeguarding and goodwill impairment. Our findings could help financial institutions and regulators to identify and manage the critical drivers of operational risk during a future pandemic. © 2022 Infopro Digital Risk (IP) Limited.
本文研究了新冠肺炎大流行如何改变金融业的操作风险概况。我们发现,财务报告中的文本风险披露包含了丰富的操作风险信息。基于金融机构文本风险披露的海量文本数据集,汇集了金融行业高管的风险感知,引入文本挖掘方法,创新分析操作风险变化。基于2017 - 2020年1330家金融机构发布的4624份财务报告,实证研究发现,新冠肺炎疫情爆发后,操作风险仍是最突出的主要风险类型,与疫情前样本相比,操作风险的披露增加了5.19%。操作风险的驱动因素也发生了变化,诉讼风险、交易模式、产品和服务问题的披露占总披露的比例显著增加。此外,大流行期间发现的两个新业务风险驱动因素是数据保护和商誉减值。我们的研究结果可以帮助金融机构和监管机构在未来大流行期间识别和管理操作风险的关键驱动因素。©2022 Infopro Digital Risk (IP) Limited。
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引用次数: 2
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Journal of Operational Risk
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