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- W2947900325 abstract "<h3>Practical Applications Summary</h3> In <b>Rethinking Alternative Data in Institutional Investment</b>, which appeared in the Winter 2019 issue of <b><i>The Journal of Financial Data Science</i></b>, <b>Ashby Monk</b> of the <b>Global Projects Center at Stanford University</b>, <b>Marcel Prins</b> of <b>APG Asset Management</b>, and <b>Dane Rook</b>, also of the <b>Global Projects Center</b>, assert that institutional investors should take advantage of alternative data (alt-data) in ways that play to their strengths. Alt-data are becoming more widely used by investors but are still primarily used in opportunistic investing strategies to which institutional investors are ill suited. Instead, institutional investors should employ defensive and defensible strategies when using alt-data. The authors further provide a framework for determining alignment of an alt-dataset with an organization’s capabilities and advice on how institutional investors should access alt-data to maximize the benefits. <b>TOPICS:</b>Big data/machine learning, security analysis and valuation, equity portfolio management" @default.
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- W2947900325 date "2019-05-29" @default.
- W2947900325 modified "2023-09-25" @default.
- W2947900325 title "Practical Applications of Rethinking Alternative Data in Institutional Investment" @default.
- W2947900325 doi "https://doi.org/10.3905/pa.7.1.332" @default.
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