Anti-fraud analysis during the COVID-19 pandemic: A global perspective

Xiaoqian Zhu, Yinghui Wang, Yanpeng Chang, Rongda Chen, Jianping Li
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Abstract

The ongoing coronavirus disease 2019 (COVID-19) pandemic has brought unexpected economic downturns and accelerated digital transformation, leading to stronger financial fraud motives and more complicated fraud schemes. Although scholars, practitioners, and regulators have begun to focus on the new characteristics of financial fraud, a systematic and effective anti-fraud strategy during the pandemic still needs to be explored. This paper comprehensively analyzes the lessons of anti-fraud that we should learn from the COVID-19 pandemic. By exploring the complex motives and schemes of fraud, we summarize the characteristics of financial fraud activities and further analyze the regulatory challenges posed by financial fraud during the outbreak. To better cope with the fraudulent activities during the pandemic, policy proposals on how to improve the supervision of financial fraud activities are put forward. In particular, the panoramic data and graph-based techniques are powerful tools for future fraud detection.
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2019冠状病毒病大流行期间的反欺诈分析:全球视角
持续的2019冠状病毒病(COVID-19)大流行带来了意想不到的经济衰退,加速了数字化转型,导致更强的金融欺诈动机和更复杂的欺诈计划。尽管学者、从业者和监管机构已经开始关注金融欺诈的新特征,但在疫情期间,系统有效的反欺诈策略仍有待探索。本文全面分析了我们应从新冠肺炎疫情中汲取的反欺诈教训。通过探究欺诈的复杂动机和方案,总结金融欺诈活动的特点,并进一步分析金融欺诈在疫情爆发期间带来的监管挑战。为更好地应对疫情期间的欺诈行为,就如何加强对金融欺诈活动的监管提出了政策建议。特别是全景数据和基于图形的技术是未来欺诈检测的有力工具。
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