Anti-Fraud Analysis during the COVID-19 Pandemic: A Global Perspective

Author:

Zhu Xiaoqian12,Wang Yinghui13,Chang Yanpeng34,Chen Rongda5,Li Jianping12

Affiliation:

1. School of Economics and Management, University of Chinese Academy of Sciences, Haidian District, Beijing 100190, P. R. China

2. MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation at the University of Chinese Academy of Sciences, Haidian District, Beijing 100190, P. R. China

3. Institutes of Science and Development, Chinese Academy of Sciences, Haidian District, Beijing 100190, P. R. China

4. School of Public Policy and Management, University of Chinese Academy of Sciences, Shijingshan District, Beijing 100049, P. R. China

5. School of Finance, Zhejiang University of Finance and Economics, Xiasha Higher Education Park, Hangzhou, Zhejiang 310018, P. R. China

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.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation at UCAS

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computer Science (miscellaneous),Computer Science (miscellaneous)

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