Adam Zaremba

MBS School of Business & Poznan University of Economics and Business & Monash University; adam.zaremba@ue.poznan.pl

Abstract:

Numerous cross-sectional equity anomalies draw on the same underlying information: the sequence of daily returns over the previous month. Using a data-driven approach, we estimate the empirical mapping from the distribution of last month’s daily returns to future performance without imposing functional forms. The resulting Daily Return Information Factor (DRIF) earns economically large premia, holds across subsamples and research designs, and remains significant after controlling for the modern factor zoo. DRIF subsumes most short-horizon and lottery-style anomalies and emerges as a key factor in asset pricing tests.

Zoom:
https://ase.zoom.us/j/88975840175?pwd=Q0ZnbHl0TjhqcEtzVnhMUWRmdWdPQT09

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