Buy High, Sell Higher

How important is price level in momentum investing?

In this study, we evaluate the relationship between different measures of a stock’s proximity to its 52-week high and traditional price momentum. We assess whether these proximity-based signals (i) generate return predictability on a standalone basis, (ii) subsume the informational content of conventional momentum strategies, and (iii) improve portfolio outcomes when combined with traditional price momentum. Using a broad set of global equity universes and consistent portfolio construction, we find that proximity to the 52-week high delivers performance comparable to traditional price momentum and captures a substantial portion of the momentum effect. Moreover, combining proximity-based 52-week high signals with conventional momentum improves risk-adjusted performance and downside capture. These findings support the view that momentum is closely linked to price levels relative to key reference points, consistent with behavioral anchoring mechanisms.

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Introduction

Momentum is one of the most robust and widely documented anomalies in asset pricing. The standard implementation—ranking stocks by their cumulative returns over the prior twelve months excluding the most recent month (12–1)—has been shown to generate persistent excess returns across markets and time periods.

Despite its empirical success, the economic mechanism underlying momentum remains a subject of ongoing debate. In particular, it is unclear whether momentum is fundamentally driven by the magnitude of past returns or by the informational content embedded in price levels relative to salient benchmarks.

One such benchmark is the 52-week high. Investors frequently evaluate securities relative to recent extrema, and the 52-week high serves as a natural reference point in this process. A stock trading near its recent peak may reflect gradual incorporation of positive information, while a stock trading far below its high may indicate incomplete adjustment to new information.

This study investigates whether proximity to the 52-week high captures return predictability within global equity markets and examines its relationship to traditional price momentum. Specifically, we assess different measures of a stock’s proximity to its 52-week high to assess whether these may serve as substitutes for, or complements to, conventional momentum signals.

Background:

Before examining the relationship between 52-week high and momentum, it is important to note that the 52-week high has predictive power on its own, irrespective of momentum (or any other style).  In our research, we present summary statistics for the proximity-to-52-week-high signal across a broad set of global equity universes, providing initial evidence on its standalone predictive power. The factor delivers consistently positive information coefficients (ICs) in every region and capitalization segment, with particularly strong magnitudes in small cap universes, where ICs reach approximately 0.10–0.11 accompanied by highly significant t-statistics in the range of 5 to 6. Even in less inefficient markets, including large cap benchmarks, the signal remains positive and statistically reliable, albeit at lower magnitudes.

The uniformity of these results across geographies and market segments underscores the robustness of the effect and suggests that proximity to the 52-week high captures a pervasive feature of return dynamics. Taken together, the evidence establishes the signal as economically meaningful and statistically well-supported in its own right, motivating further investigation into its underlying drivers and its relation to other known return predictors.

Literature Review:

George and Hwang (2004) introduce the 52-week high ratio as an alternative to traditional momentum measures, ranking stocks by the ratio of current price to the highest price observed over the prior year. They document that this measure predicts future returns and, in many specifications, subsumes the explanatory power of conventional momentum strategies.

They attribute this result to behavioral anchoring: investors evaluate new information relative to well-defined reference points, such as prior highs, leading to gradual price adjustment. Stocks near their highs may therefore reflect underreaction to positive information, producing return continuation.

Subsequent work reinforces this interpretation. Gray and Vogel (2016) demonstrate that the predictive power of the 52-week high signal strengthens over intermediate horizons, particularly at three- and six-month holding periods, consistent with gradual information diffusion.

More recently, Baltussen et al. (2025) decompose momentum into components related to price extremes, distinguishing between price-to-high (PTH) and high-to-price (HTP) measures. They find that a substantial portion of momentum profits is driven by the HTP component, suggesting that price dynamics relative to historical extrema play a central role in the momentum effect.

Collectively, this literature suggests that proximity to the 52-week high is not merely a simplified momentum proxy but rather reflects an underlying behavioral mechanism that contributes to return persistence.

Discussion

Our empirical findings are broadly consistent with the behavioral interpretation of momentum as arising from anchoring to salient reference points. The 52-week high appears to serve as a focal benchmark through which investors process new information, leading to gradual price adjustment and return continuation.

Among the proximity measures examined, the range-based specification provides a particularly stable implementation, suggesting that relative position within the full price range may better capture the underlying behavioral mechanism than reliance on the high alone.

However, one limitation of the analysis is the use of a six-month holding period for all signals, including traditional momentum. Since momentum strategies are often implemented with more frequent rebalancing, the relative performance of the 12–1 strategy may be understated in this framework. Regardless, the data presented in this paper, as well as, from our literature review provide robust evidence as to the importance of the 52-week high signal in momentum strategies.

Conclusion

This study provides evidence that proximity to the 52-week high is a robust predictor of future returns and captures a substantial portion of the momentum effect.

Proximity-based signals:

• Perform competitively with traditional momentum
• Subsume much of the information contained in return-based momentum measures
• Enhance portfolio outcomes when combined with conventional momentum

These findings suggest that momentum may be more fundamentally related to price levels relative to recent extrema than to past returns per se. More broadly, they support the view that behavioral anchoring plays a central role in the persistence of asset returns.