3 papers in the archive (2024–2026), average empirical rigor 7.2/10, average math complexity 3.5/10. Quadrant mix: Holy Grail ×1, Street Traders ×2.
Works mostly in NLP & LLMs in Finance, Crypto Markets & DeFi, Risk Management & Tail Risk, Market Simulation & Agent-Based Models.
Frequent co-authors: Yebo Feng (2), Jiahua Xu (2), Hai Lu (1), Luping Yu (1), Paolo Tasca (1), Yang Liu (1).
Scores are our LLM-assisted heuristics (methodology), not peer review or citation counts. Author pages are generated from paper metadata; name variants may split one person across pages. arXiv author page →
Ordered by a blend of empirical rigor (60%) and math complexity (40%).
Total value locked (TVL) is widely used to measure the size and popularity of decentralized finance (DeFi). However, TVL can be easily manipulated and inflated through “double counting” activities such as wrapping and leveraging. As existing methodologies addressing double counting are inconsistent
Referees increasingly use large language models (LLMs), while finance and accounting journals disagree about whether to allow it. We ask which part of a referee’s job the models can do. GPT-4o, whose training data end before the 2024 conference season, referees the papers presented at the 2024 AFA a
The launch of $Trump coin ignited a wave in meme coin investment. Copy trading, as a strategy-agnostic approach that eliminates the need for deep trading knowledge, quickly gains widespread popularity in the meme coin market. However, copy trading is not a guarantee of profitability due to the preva