Firmographica: An Ownership Knowledge Graph for Short Selling Risk Assessment
KGC 2025
•
28m
Javid Huseynov, Columbia University, Associate Professor of Practice
In financial markets, corporate ownership structures influence short selling risks. To assess this impact, we present Firmographica, a knowledge graph that integrates ownership information and relationships for publicly traded companies using data from the SEC and FINRA. By modeling these relationships as a weighted directed graph, we derive centrality (e.g., PageRank) and ownership concentration (via the Hirschman-Herfindahl Index), then combine them with insider trading data and other financial indicators in regression models predicting short-selling positions.
Our findings show that firm size and ownership concentration play a dominant role in shaping average short-selling levels, while graph centrality metrics contribute nuanced insights into short-selling volatility. This research also highlights the potential of knowledge graph analytics in financial risk modeling, improving governance transparency, and informing regulatory and investment strategies through network-driven insights.
Up Next in KGC 2025
-
AI Ready Data: Tables Aren't Enough, ...
Dan Bennett, S&P Global, Head of Technology, Enterprise Data Organization
We have made good progress with formatting our unstructured, textual, data for AI consumption with the RAG pattern. Yet, here in early 2025, the industry has not centered on a definition of what AI ready data means for str...
-
Auditorium Opening
-
KGC 2025 Lightning Talk Compilation
SQL Users Have IDEs - Why Don’t We?
Entity Resolution for Graph Practices Across Many Business Verticals
Automated Knowledge Graphs for Synchronized Building Operations
Oracle Database 23ai: The Complete Data Platform Powered by AI
Building Agentic Flows: From Data and Apps to Knowledge and A...
