Technological Links and Predictable Returns

• In Event: Anomalies and Return Prediction

Abstract

This paper finds evidence of return predictability across technology-linked firms. Employing a classic measure of technological closeness between firms, we show that the returns of technology-linked firms have strong predictive power for focal firms’ returns. A long-short strategy based on this effect yields monthly alpha of 117 basis points. This effect is distinct from industry momentum, and is more pronounced for more innovative firms, firms with higher investor inattention, and firms with higher costs of arbitrage. We find a similar lead-lag relation between the earnings surprises, analyst revisions, and innovation-related activities (such as patent grants and citation counts) of technology-linked firms. Our results are broadly consistent with sluggish price adjustment to more nuanced technological news.

Authors

• Charles M C Lee, Stanford University

• Teng Stephen Sun, Guanghua School of Management, Peking University

• Rongfei Wang, Guanghua School of Management, Peking University

• Ran Zhang, Peking University