BEGIN:VCALENDAR VERSION:2.0 X-WR-CALNAME:EventsCalendar PRODID:-//hacksw/handcal//NONSGML v1.0//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York LAST-MODIFIED:20240422T053451Z TZURL:https://www.tzurl.org/zoneinfo-outlook/America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT CATEGORIES:Charlton College of Business,College of Arts and Sciences DESCRIPTION:The Department of Accounting & Finance and Center for Scientifi c Computing and Data Science Research announce the following research semi nar. Speaker: Associate Professor of Finance Daniel Greene (Clemson Univer sity) Title: Better Than a Coin Flip? Merger Success and Artificial Intell igence Models Date: Friday, February 27, 2026Time: 9:30 -10:45 AMLocation: via Zoom Meeting Meeting ID: 438 755 1509 Abstract: This paper investigat es whether and how artificial intelligence (AI) can improve merger outcome s. We find that both machine learning models and large language models aid in deal selection and increase aggregate shareholder wealth during an out -of-sample period. However, gains are modest and the models reject many va lue-increasing deals. Large language models are helpful in identifying ove rpayment for targets and thus can assist in avoiding a "winner's curse" wh ich drives down acquirer returns. Machine learning models are helpful in s creening deals with extreme good or bad outcomes for shareholders, allowin g firms to mitigate downside risk in mergers and counteract managerial bia ses. For additional information, or \nEvent page: https://www.umassd.edu/e vents/cms/joint-research-seminar-of-accounting-and-finance-department-and- center-for-scientific-computing-and-data-science-research.php X-ALT-DESC;FMTTYPE=text/html:

The Department of Accounting & Finance and Center for Scientific Computing and Data Science Research anno unce the following research seminar.

Speaker: Ass ociate Professor of Finance Daniel Greene (Clemson University)

Title: Better Than a Coin Flip? Merger Success and Artificia l Intelligence Models

Date: Friday\, February 27\ , 2026
Time: 9:30 -10:45 AM
Location: via Zoom Meeting

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Meeting ID: 438 755 1509
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Abstract: This paper investigates whether and how artificial inte lligence (AI) can improve merger outcomes. We find that both machine learn ing models and large language models aid in deal selection and increase ag gregate shareholder wealth during an out-of-sample period. However\, gains are modest and the models reject many value-increasing deals. Large langu age models are helpful in identifying overpayment for targets and thus can assist in avoiding a "winner's curse" which drives down acquirer returns. Machine learning models are helpful in screening deals with extreme good or bad outcomes for shareholders\, allowing firms to mitigate downside ris k in mergers and counteract managerial biases.
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For additional info rmation\, or
Event page: https://www.umassd. edu/events/cms/joint-research-seminar-of-accounting-and-finance-department -and-center-for-scientific-computing-and-data-science-research.php
DTSTAMP:20260406T114052 DTSTART;TZID=America/New_York:20260227T093000 DTEND;TZID=America/New_York:20260227T104500 LOCATION:Zoom SUMMARY;LANGUAGE=en-us:Joint Research Seminar of Accounting and Finance Dep artment and Center for Scientific Computing and Data Science Research UID:1138afdef0b0dbc73b9f01d7694b9939@www.umassd.edu END:VEVENT END:VCALENDAR