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UID:20240511T024536EDT-2890DjRnZb@132.216.177.157
DTSTAMP:20240511T064536Z
DESCRIPTION:George Aragon\n\nArizona State University\n\nMachine-Learning a
 bout ESG Preferences: Evidence from Fund Flow\n\nDate: Friday\, March 22\,
  2024\n	Time: 10:30-11:45 am\n	Location: Bronfman Bldg. (1001 Sherbrooke St.
  West)\, Room 340\n\nAll are cordially invited to attend.\n\nPlease dgfc.m
 gmt [at] mcgill.ca (subject: Desmarais%20Global%20Finance%20Research%20Cen
 tre%20Seminars)  (contact us) for more details.\n\nAbstract\n\nWe construc
 t a broad dataset of Environmental\, Social\, and Governance (ESG) scores 
 for equity mutual funds based on the stocks they hold and stock-level scor
 es from six prominent ESG data providers. We find that many ESG scores pre
 dict fund flows despite substantial disagreement among providers. We then 
 use machine learning to concentrate the information in scores and generate
  accurate flow forecasts (ESG-driven flows). We use ESG-driven flows to pr
 oxy for a fund’s ESG performance and find that better performing funds sub
 sequently realize higher flows and lower returns. Investors also pay $14 m
 illion/year more for a top ESG fund.\n
DTSTART:20240322T143000Z
DTEND:20240322T154500Z
LOCATION:Room 340\, Bronfman Building\, CA\, QC\, Montreal\, H3A 1G5\, 1001
  rue Sherbrooke Ouest
SUMMARY:Desmarais Global Finance Research Centre (DGFRC) Seminar
URL:https://www.mcgill.ca/desautels/channels/event/desmarais-global-finance
 -research-centre-dgfrc-seminar-356180
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