By: |
Marianne Andries (USC - University of Southern California);
Milo Bianchi (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement);
Karen Huynh (AMUNDI Asset Management);
Sébastien Pouget (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement) |
Abstract: |
In an investment experiment, we show variations in information affect belief
and decision behaviors within the information-beliefs-decisions chain.
Subjects observe the time series of a risky asset and a signal that, in random
rounds, helps predict returns. When they perceive the signal as useless,
subjects form extrapolative forecasts, and their investment decisions
underreact to their beliefs. When they perceive the signal as predictive, the
same subjects rationally use it in their forecasts, they no longer
extrapolate, and they rely significantly more on their forecasts when making
risk allocations. Analyzing investments without observing forecasts and
information sets leads to erroneous interpretations. |
Keywords: |
Return Predictability, Expectations, Long-Term Investment, Extrapolation, Model Uncertainty. |
Date: |
2024–08 |
URL: |
https://d.repec.org/n?u=RePEc:hal:journl:hal-04680777 |