-level uncertainty and imperfect information over their life cycle. We find that firms make non-negligible and positively correlated … demand. The former learning effect, combined with the latter real-options effect, adversely affect firms' entry decisions and …

all stylized facts observed in aggregate price fluctuations and individual forecasting behaviour in recent learning to …. -- Learning ; heterogeneous expectations ; genetic algorithms ; experimental economics …

We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on …

(Learning-to-Forecast experiments) or individual trading (Learning-to-Optimize experiments). Bao et al. (2018) have shown that …

We study the properties of generalized stochastic gradient (GSG) learning in forward-looking models. We examine how the … conditions for stability of standard stochastic gradient (SG) learning both differ from and are related to E-stability, which … governs stability under least squares learning. SG algorithms are sensitive to units of measurement and we show that there is …

(Learning-to-Forecast experiments) or individual trading (Learning-to-Optimize experiments). Bao et al. (2017) have shown that …