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q-fin.PM2026
From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets
Yikuan Huang, Zheqi Fan, Kaiqi Hu +1
LLM agents are promising tools for empirical discovery, but their flexibility can also turn discovery into uncontrolled search. We study how to use agents under a reproducible prot…
q-fin.PM2026
Cross-Stock Predictability via LLM-Augmented Semantic Networks
Yikuan Huang, Zheqi Fan, Kaiqi Hu +1
Text-based financial networks are increasingly used to study cross-stock return predictability. A common approach constructs links from similarities in firms' disclosure embeddings…