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Concept links and return momentum

  • Qianqian DU
  • , Dawei LIANG*
  • , Zilin CHEN
  • , Jun TU
  • *Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

Abstract

Unlike traditional asset categories (e.g., industry classifications) that are generally defined clearly, some groups of stocks are tied to certain loosely defined “concepts” (e.g., e-commerce). When investors find it difficult to analyze ambiguous concept-oriented information, information diffuses slowly, creating “concept momentum”. Based on unique concept data in the Chinese stock market, this study constructs a concept-momentum strategy that involves buying stocks from past winning concepts and selling stocks from past losing concepts, which can generate pronounced abnormal returns. Neither risk factors, firm-level momentum, nor industry-level momentum can explain concept momentum. Furthermore, we find that both the underreaction and cross-stock lead-lag effect channels can cause slow information diffusion and drive concept momentum. Moreover, the concept momentum effect is stronger for relatively ambiguous concepts, for concepts that attract less investor attention, and following high-sentiment periods.

Original languageEnglish
Article number106329
JournalJournal of Banking and Finance
Volume134
Early online date10 Oct 2021
DOIs
Publication statusPublished - Jan 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 Elsevier B.V.

Funding

We appreciate helpful comments and suggestions from George Dai, Xinrui Duan, Lin Huang, Han Li, Lin Liao, Liwei Shan, Rui Shen, Yean Zhou, and participants at the 1st Behavioral and Experiment conference in Hangzhou and the 2019 RIEM Seminar in Chengdu. Du acknowledges funding from National Natural Science Foundation of China (Project No. 72102190 ) as well as funding from a research grant (Grant No. JBK2101015 ) supported by Fundamental Research Funds for the Central Universities. Tu acknowledges that the study was funded through a research grant (Grant No. G17C20427) from The ASEAN Business Research Initiative at Singapore Management University.

Keywords

  • Asset classifications
  • Category learning
  • Concept stocks
  • Momentum effects

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