等你来投！《清华金融评论》10月刊 “前瞻全球数字资产” 征稿启事

Core Viewpoint - The digital asset trading industry is a product of the deep integration of blockchain technology and financial innovation, which has become a significant force in reshaping the global economic landscape amid the acceleration of global digitalization [2][4]. Submission Directions - The editorial team of "Tsinghua Financial Review" is inviting submissions on the topic of global digital assets, focusing on providing insights for policymakers, business decision-makers, researchers, and investors [4][13]. - The submission should be original and unpublished, with a suggested word count of 4,000 to 6,000 words, including charts and tables [8][15]. - The deadline for submission is September 20, 2025 [9]. Topics for Discussion - The article outlines 12 specific topics for discussion, including: 1. Development trends and policy comparisons of global central bank digital currencies 2. Exploration of the synergy between RWA (Real World Assets) and central bank digital currencies 3. Redefinition of traditional financial assets by RWA 4. Comparative study of global policies and regulatory frameworks for RWA 5. International trends and legislative dynamics in digital asset regulation 6. Risk identification, assessment, and prevention mechanisms for digital assets 7. The impact and challenges of digital assets on the traditional financial system 8. Legal attributes and compliance pathways for digital assets 9. The role and prospects of digital assets in cross-border payments 10. Construction of investor protection mechanisms in the digital asset field 11. Trends of "de-risking" in digital assets and industry transformation 12. Digital assets and financial stability [7]. Editorial Guidelines - The articles can be analytical or interpretative, aiming to provide practical insights and stimulate thought among readers [13][15]. - The editorial team emphasizes the importance of a solid academic foundation for the viewpoints and conclusions presented, while avoiding overly complex theories and models [14][15].