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Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 14th May 2024, 05:43:48am EDT

 
 
Session Overview
Session
Track W7-2: Return Predictability
Time:
Wednesday, 22/May/2024:
9:30am - 10:15am

Session Chair: Benjamin Golez, University of Notre Dame
Discussant: Andrea Tamoni, Rutgers Business School
Location: Room 610


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Presentations

Sources of Return Predictability

Beata Gafka1, Pavel Savor2, Mungo Wilson3

1Ivey Business School; 2Kellstadt Graduate School of Business at DePaul University; 3Said Business School at Oxford University

We develop an approach to determine whether a particular predictor represents a proxy for fundamental risk. We build on the assumption that risk-based predictors should be linked to new information about economic conditions. We show that most predictors forecast returns on either days with macroeconomic announcements or the remaining days, indicating that sources of return predictability differ across predictors: few are driven by fundamental risk; most have other origins. We show that Shiller’s excess volatility is confined to non-announcement days, suggesting that the ability to forecast stock market’s noise component underlies much of the predictability documented in the literature.


Gafka-Sources of Return Predictability-298.pdf


 
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