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Qualitative similarity and stock price comovement

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  • Box, Travis

Abstract

I introduce a method for gauging the qualitative similarity of firm-specific information based on linguistic commonality in newswire text. I show that this new qualitative similarity measure predicts future cross-firm return correlation even after accounting for the pair's contemporaneous price comovement, common exposures to systematic risk, firm liquidity, price, index membership, text volume, headquarters location, product similarity, shared mutual fund or institutional ownership, common analyst following and newswire co-mentions. I also demonstrate that content produced solely by journalists cannot predict an economically meaningful portion of future comovement. Out-of-sample tests confirm that knowledge of qualitative similarity can also reduce portfolio risk.

Suggested Citation

  • Box, Travis, 2018. "Qualitative similarity and stock price comovement," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 49-69.
    • Handle: RePEc:eee:jbfina:v:91:y:2018:i:c:p:49-69
    DOI: 10.1016/j.jbankfin.2018.04.010
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    Cited by:

    1. Lyuhong Wang & Jiawei Jiang & Yang Zhao, 2024. "Corporate Fundamentals and Stock Price Co-Movement," Papers 2411.03922, arXiv.org.
    2. Huang, Junbo & Tian, Huiting & Shen, Weibing, 2023. "Characteristics and mechanisms of the U.S. stock market spillover effects on the Chinese A-share market: Evidence from 6 A-share broad-based and 31 sector indices," International Review of Financial Analysis, Elsevier, vol. 87(C).
    3. Jin, Zuben, 2024. "Business aspects in focus, investor underreaction and return predictability," Journal of Corporate Finance, Elsevier, vol. 84(C).
    4. Travis Box & Danjue Shang, 2021. "Information‐driven stock price comovement," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(2), pages 403-429, June.
    5. Li, Jingyu & Li, Jianping & Zhu, Xiaoqian, 2020. "Risk dependence between energy corporations: A text-based measurement approach," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 33-46.
    6. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    7. Yi, Biao & Xiang, Xueman, 2023. "Pair analyst coverage and return comovement: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).

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    More about this item

    Keywords

    Information consumption; Information-driven comovement; Textual analysis; Correlation;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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