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Text-Based Industry Momentum

Author

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  • Hoberg, Gerard
  • Phillips, Gordon M.

Abstract

We test the hypothesis that low-visibility shocks to text-based network industry peers can explain industry momentum. We consider industry peer firms identified through 10-K product text and focus on economic peer links that do not share common Standard Industrial Classification (SIC) codes. Shocks to less visible peers generate economically large momentum profits and are stronger than own-firm momentum variables. More visible traditional SIC-based peers generate only small, short-lived momentum profits. Our findings are consistent with momentum profits arising partially from inattention to economic links of less visible industry peers.

Suggested Citation

  • Hoberg, Gerard & Phillips, Gordon M., 2018. "Text-Based Industry Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(6), pages 2355-2388, December.
    • Handle: RePEc:cup:jfinqa:v:53:y:2018:i:06:p:2355-2388_00
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    Cited by:

    1. Ying, Jie, 2024. "Gradual information diffusion across commonly owned firms," Journal of Financial Economics, Elsevier, vol. 156(C).
    2. Gensler, Sonja & Oehring, Karlo & Wiesel, Thorsten, 2024. "Reported and communicated shifts in strategic emphasis and firm performance," International Journal of Research in Marketing, Elsevier, vol. 41(2), pages 220-240.
    3. Ge, S., 2020. "Text-Based Linkages and Local Risk Spillovers in the Equity Market," Cambridge Working Papers in Economics 20115, Faculty of Economics, University of Cambridge.
    4. Paul E. Soto, 2021. "Breaking the Word Bank: Measurement and Effects of Bank Level Uncertainty," Journal of Financial Services Research, Springer;Western Finance Association, vol. 59(1), pages 1-45, April.
    5. Xia, Jingjing, 2024. "Stealing the show: The negative effects of media coverage on peers’ stock liquidity," Finance Research Letters, Elsevier, vol. 59(C).
    6. Yang, Jinyu & Xia, Guoen & Dong, Dayong, 2024. "Placebo in the random walk of stock price: Momentum effect of corporate site visits," Research in International Business and Finance, Elsevier, vol. 70(PB).
    7. Lee, Charles M.C. & Shi, Terrence Tianshuo & Sun, Stephen Teng & Zhang, Ran, 2024. "Production complementarity and information transmission across industries," Journal of Financial Economics, Elsevier, vol. 155(C).
    8. Yi, Biao & Guo, Shuxin, 2022. "Common analyst links and predictable returns: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    9. Jin, Zuben, 2024. "Business aspects in focus, investor underreaction and return predictability," Journal of Corporate Finance, Elsevier, vol. 84(C).
    10. Du, Qianqian & Liang, Dawei & Chen, Zilin & Tu, Jun, 2022. "Concept links and return momentum," Journal of Banking & Finance, Elsevier, vol. 134(C).
    11. Bagnara, Matteo & Goodarzi, Milad, 2023. "Clustering-based sector investing," SAFE Working Paper Series 397, Leibniz Institute for Financial Research SAFE.
    12. Li, Scott, 2022. "Industry classification, industry momentum and short-term reversal," Finance Research Letters, Elsevier, vol. 48(C).
    13. Tobias Wiest, 2023. "Momentum: what do we know 30 years after Jegadeesh and Titman’s seminal paper?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(1), pages 95-114, March.
    14. Dragos Gorduza & Yaxuan Kong & Xiaowen Dong & Stefan Zohren, 2024. "Extracting Alpha from Financial Analyst Networks," Papers 2410.20597, arXiv.org.
    15. Xin Chen & Wei He & Libin Tao & Jianfeng Yu, 2023. "Attention and Underreaction-Related Anomalies," Management Science, INFORMS, vol. 69(1), pages 636-659, January.
    16. Noh, Joonki & Zhou, Dexin, 2022. "Executives’ Blaming external factors and market reactions: Evidence from earnings conference calls," Journal of Banking & Finance, Elsevier, vol. 134(C).

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