My coauthors and I have made public 2 datasets on block ownership:

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• Blockholder Snapshot Dataset: This dataset provides an annual snapshot of all 5% blockholder positions from 1998 to 2023, along with multiple classifications of each blockholder (e.g., institutional vs. noninstitutional). The dataset is publicly available on WRDS and Kate Volkova's website. It includes both a 2-category classification (13F filer or not) and a 3-category classification (individuals, financial institutions, and others). This dataset is described in the paper "Is Blockholder Diversity Detrimental?" by Miriam Schwartz-Ziv and Ekaterina Volkova, published in Management Science (2024). If you use the Blockholder Snapshot Dataset, please cite the above-mentioned paper.

• Blockholder Classification Dataset: This dataset provides classifications for all 13D and 13G filers (i.e., all 5% blockholders) from 1998 to 2018, including a specific classification for hedge funds. The classifications include a 2-category system (institutional vs. noninstitutional) and a 4-category system (institutional, hedge fund, individual, or other). The dataset is publicly available on WRDS and is described in the paper "Block Diversity and Governance" (2024) by Ryan Israelsen, Miriam Schwartz-Ziv, and James Weston, forthcoming in The Review of Corporate Finance Studies. Section 2 of the paper details the definitions of each field and describes the datasets used for the classifications (see the excerpt below). If you use the Blockholder Classification Dataset, please cite the above-mentioned paper.

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1) A Blockolder Snapshot Dataset that includes an annual snapshot of all 5% block positions from 1998-2023, and multiple classifications of each block (institutional and noninstitutional, a). The data is now public and is available on WRDS and also on Kate Volkova's website. It includes a 2-category classification (13F filer or not), and a 3-category classification  (individuals, financial institution, other). The dataset is described in the paper "Is Blockholder Diversity Detrimental?" by Miriam Schwartz-Ziv and Ekaterina Volkova published in Management Science (2024). If you use the Blockolder Snapshot Dataset, please cite the above-mentioned paper.

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2) A block Block Classification Dataset that includes a classification for all 13D and 13G filers (i.e., all 5% blockholders) during the years 1998-2018.  This  dataset also includes a classification for hedge funds. Specifically, the classifications includes an 2-category classification (institutional versus noninstitutional), and a 4-category classification (institutional, hedge fund, individual, or other). This dataset is the paper is described in and is available on WRDS. The paper "Block Diversity and Governance" (2024) by Ryan Israelsen, Miriam Schwartz-Ziv, and James Weston, forthcoming in The Review of Corporate Finance Studies, details in Section 2 how each field was defined and describes the datasets used for the classifications (see the most relevant paragraph from Section 2 below) . If you use the Blockholder Classification Dataset, please cite the above-mentioned paper.

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