Abstract
Momentum trading strategies exploit return persistence, but conventional past-year cumulative-return measures generate a noisy signal that attenuates performance. We propose a pure momentum strategy that identifies trends directly from daily returns. Our method reduces volatility, tail risk, and transaction costs while enhancing profitability. Performance is primarily driven by long positions in winners, supporting theories postulating overconfidence. The bad news, instead, appears to be incorporated more slowly. In particular, we show that omitting the most recent month is unnecessary to identify winners.
