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The 52‐Week High and Momentum Investing

Journal of Finance 2004 59(5), 2145-2176
When coupled with a stock's current price, a readily available piece of information—the 52‐week high price–explains a large portion of the profits from momentum investing. Nearness to the 52‐week high dominates and improves upon the forecasting power of past returns (both individual and industry returns) for future returns. Future returns forecast using the 52‐week high do not reverse in the long run. These results indicate that short‐term momentum and long‐term reversals are largely separate phenomena, which presents a challenge to current theory that models these aspects of security returns as integrated components of the market's response to news.

Is It Who You Know or What You Know? Evidence from IPO Allocations and Mutual Fund Performance

Journal of Financial and Quantitative Analysis 2018 53(6), 2491-2523 open access
Mutual fund managers with degrees from elite universities tend to outperform their counterparts from less elite universities. We show that the better performance of elite graduates is generated from their better connections with underwriters that facilitate allocations to underpriced initial public offerings (IPOs). Indeed, we find that the funds outperform only in months when they are connected to underwriters issuing IPOs. A strategy of buying mutual funds in months when they are connected to underwriters scheduled to issue IPOs generates significant abnormal returns, as high as 4.08% per annum in hot markets.

The 52-week high, q-theory, and the cross section of stock returns

Journal of Financial Economics 2018 128(1), 148-163 open access
The Hou et al. (2015) q-factor model outperforms other factor models in capturing the price-to-high (PTH, the ratio of current price to 52-week high price) anomaly; that is, high-PTH stocks earn high future returns. PTH's relations with future profitability and future investment growth are both significantly positive, and they mirror PTH's relation with future returns in the cross section and by time horizons. Incorporating the information about future investment growth contained in price level variables (e.g., PTH) helps the q factors to capture better those anomalies rooted in future investment growth. Together, these results suggest that the PTH anomaly is consistent with the investment capital asset pricing model.