@techreport{publications49621,
          volume = {1561},
           month = {August},
          author = {Marianne Andries and Milo Bianchi and Karen Huynh and S{\'e}bastien Pouget},
          series = {TSE Working Paper},
       booktitle = {TSE Working Paper},
            type = {Working Paper},
         address = {Toulouse},
           title = {Return Predictability, Expectations, and Investment: Experimental Evidence},
       publisher = {TSE Working Paper},
            year = {2024},
     institution = {Universit{\'e} Toulouse Capitole},
        keywords = {Return Predictability, Expectations, Long-Term Investment, Extrapolation, Model Uncertainty},
             url = {https://publications.ut-capitole.fr/id/eprint/49621/},
        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.}
}