Abstract
In this paper, we provide a trend factor that captures simultaneously all three stock price trends: the short-, intermediate-, and long-term, by exploiting information in moving average prices of various time lengths whose predictive power is justified by a proposed general equilibrium model. It outperforms substantially the well-known short-term reversal, momentum, and long-term reversal factors, which are based on the three price trends separately, by more than doubling their Sharpe ratios. During the recent financial crisis, the trend factor earns 0.75% per month, while the market loses −2.03% per month, the short-term reversal factor loses −0.82% the momentum factor loses −3.88% and the long-term reversal factor barely gains 0.03%. The performance of the trend factor is robust to alternative formations and to a variety of control variables. From an asset pricing perspective, it also performs well in explaining cross-section stock returns.
| Original language | English |
|---|---|
| Pages (from-to) | 352-375 |
| Number of pages | 24 |
| Journal | Journal of Financial Economics |
| Volume | 122 |
| Issue number | 2 |
| DOIs | |
| State | Published - Nov 1 2016 |
Keywords
- Asymmetric information
- Factor models
- Momentum
- Moving averages
- Predictability
- Trends
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