Research on Financial Fraud in China and Abroad Based on M-score Model
Tianyi Feng, Keni Guo · Advances in Economics Management and Political Sciences · 2024
The pervasive threat of financial fraud casts a daunting shadow over the global financial system, bearing the potential to unleash significant financial turmoil. This article endeavors to meticulously scrutinize instances of financial fraud at both domestic and international levels, while also delving into the efficacy of the M-score model. Through an exhaustive comparative analysis of the M-score model's adaptability and utility in diverse economic landscapes, our primary goal is to bolster global fraud detection capabilities and facilitate the implementation of robust policies. This study is dedicated to unraveling the intricate complexities of financial fraud, discerning recurrent patterns and trends that transcend national borders and economic structures. By embarking on this endeavor, our aim is to fortify the resilience of financial markets and regulatory frameworks against fraudulent activities, ultimately fostering greater stability and trust within the worldwide financial ecosystem. In doing so, we endeavor to reinforce the stability and trust within the worldwide financial ecosystem, elevating the integrity of financial markets and regulatory frameworks against the pernicious influence of fraudulent activities.