Topic
Hedonic house-price models are bounded by the characteristics an analyst can measure, yet much of a home's value is recorded only in the free-text description and photographs of its listing. This paper treats general-purpose AI models as a feature-engineering technology: a large language model converts each…
This paper measures artificial-intelligence (AI) engagement in the SEC filings of some 2,500 U.S. listed firms (the current S&P 500 constituents and the holdings of the iShares Russell 3000 ETF) by embedding every passage of their Form 10-K, 10-Q and 8-K filings of 2010–2026 with a sentence transformer and scoring it…
Broker-written listing descriptions contain information about housing quality that structured hedonic variables omit. This paper proposes an interpretable way to use that information: sentence-transformer embeddings of 17,087 single-family listings from Quebec are projected, by cosine similarity, onto 20…
This paper documents the construction of SPID, a project-level research database that reconstructs the strategic initiatives disclosed by U.S.-listed companies in their SEC filings. Starting from an issuer universe that merges a current S&P 500 snapshot with the holdings of the iShares Russell 3000 ETF (2,564 distinct…