GCAP Public Security-Level Data on U.S. Fund Holdings

Bruno Cavani, Matteo Maggiori and Jesse Schreger
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Matteo Maggiori: Stanford University

No ex4vb_v1, SocArXiv from Center for Open Science

Abstract: We construct representative security-fund-level longitudinal data for the United States using regulatory filings of portfolio holdings from Form N-PORT. We validate our dataset by comparing coverage and composition to official statistics from the Federal Reserve's Financial Accounts of the United States (formerly known as the Flow of Funds) and Treasury International Capital (TIC) System, and to micro-level commercial datasets such as Morningstar. We showcase an application by replicating and updating Maggiori, Neiman and Schreger (2020) findings on home currency bias using N-PORT instead of commercial fund holdings data. Our results confirm that N-PORT data offer a comprehensive, reliable, and public alternative to commercial datasets for research in macroeconomics and finance. We make all the security-level data on holdings available in a public repository of the GCAP Lab and provide code for updating the data.

Date: 2025-11-11
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:ex4vb_v1

DOI: 10.31219/osf.io/ex4vb_v1

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