Using Industry, Supply-Chain, and Geographic Revenue Data in Quantitative Research
Summary
This overview introduces three types of company data associated with FactSet: a six-level product and service based industry classification, company-to-company supply-chain relationships, and geographic revenue exposure. The classification is presented as a way to group businesses more precisely than broad industry labels. Supply-chain links can help researchers examine how supplier performance or customer business changes may affect a company, while geographic revenue splits describe where a company earns sales.
The document discusses possible quantitative applications, including thematic indices and portfolios based on industry classifications, event-driven strategies using supply-chain information, and network measures such as degree, centrality, and spillover effects as candidate factors. It says these network signals may add information to models based on price, volume, or financial statements, including in Chinese equities. However, the provided text is an abstract and points to a separate report for the underlying analysis; it gives no methodology, validation details, or evidence sufficient to assess the stated alpha claims. The applications should therefore be read as research directions rather than independently supported results.
Key ideas
- The industry taxonomy groups companies by their products and services in a six-level hierarchy.
- Supplier, customer, and geographic revenue links can add dimensions to company analysis.
- Supply-chain networks can be represented with measures such as degree, centrality, and spillover effects.
- The text proposes these data as possible inputs to event-driven research and equity factors, but does not provide the report's validation details.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.