SEC 데이터로 본 미국 가상자산 규제 언어와 정책적 함의

This study conducts a comprehensive and in-depth investigation into the legislative trends of virtual assets in the United States and analyzes regulatory data from the U.S. Securities and Exchange Commission(SEC). By advanced data mining techniques and network analysis, this research explores key characteristics, underlying patterns, and significant implications of virtual asset regulatory trends in the U.S. Specifically, data mining methodologies were applied to over 200 SEC regulatory cases spanning a 13-year period, from January 2012 to October 2024. The regulatory cases were systematically categorized based on the seven types of violations defined by the SEC and key keywords were extracted to identify prevalent regulatory concerns. As a result, this study identifies critical areas that the current domestic virtual asset regulations exhibit deficiencies and fail to comprehensively address emerging challenges. Furthermore, It proposes key directions to be considered in the development of domestic regulatory frameworks, including the second phase of the ‘ACT ON THE PROTECTION OF VIRTUAL ASSET USERS’. The findings from this research can serve as a valuable resource for both academic and policy-oriented discussions aimed at improving the domestic regulatory landscape. Moreover, It can be exploring how insights derived from empirical data analysis can be linked to global regulatory trends.