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Neighborhood effect on stock price comovement

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  • Li, Mingsheng
  • Zhao, Xin

Abstract

We investigate how the geographic distance between firms’ headquarters affects their stock price comovement. Our results show that a firm's stock return has stronger comovement with the returns of nearby firms than with those of distant firms. Being in the same state and/or in the same industry strengthens the return comovement, but does not substitute for the negative effect of geographic distance on price comovement. Firms of similar share price and size also show stronger return comovement, but these factors do not mitigate the negative distance impact. Consistent with investor home bias and neighborhood effect literature, our results suggest that investors’ preference for local stocks and their interactions lead to correlated trading in local stocks and therefore stronger local price comovement.

Suggested Citation

  • Li, Mingsheng & Zhao, Xin, 2016. "Neighborhood effect on stock price comovement," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 1-22.
  • Handle: RePEc:eee:ecofin:v:35:y:2016:i:c:p:1-22
    DOI: 10.1016/j.najef.2015.10.002
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    3. Derouiche, Imen & Jaafar, Kaouther & Zemzem, Ahmed, 2016. "Firm geographic location and voluntary disclosure," Journal of Multinational Financial Management, Elsevier, vol. 37, pages 29-47.
    4. Azra Zaimovic & Adna Omanovic & Almira Arnaut-Berilo, 2021. "How Many Stocks Are Sufficient for Equity Portfolio Diversification? A Review of the Literature," JRFM, MDPI, vol. 14(11), pages 1-30, November.
    5. Jiang, Shangwei & Jin, Xiu, 2021. "Effects of investor sentiment on stock return volatility: A spatio-temporal dynamic panel model," Economic Modelling, Elsevier, vol. 97(C), pages 298-306.
    6. Bhuiyan, Rubaiyat Ahsan & Rahman, Maya Puspa & Saiti, Buerhan & Ghani, Gairuzazmi Bin Mat, 2019. "Does the Malaysian Sovereign sukuk market offer portfolio diversification opportunities for global fixed-income investors? Evidence from wavelet coherence and multivariate-GARCH analyses," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 675-687.
    7. Ming-Yuan Yang & Sai-Ping Li & Li-Xin Zhong & Fei Ren, 2018. "Modelling stock correlations with expected returns from investors," Papers 1803.02019, arXiv.org, revised Mar 2018.
    8. Chen, Hanxiao & Zheng, Xiaolong & Zeng, Daniel Dajun, 2020. "Analyzing the co-movement and its spatial–temporal patterns in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).

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    More about this item

    Keywords

    Price comovement; Local bias; Asset category; Geographic proximity; Social interaction; Investor behavior;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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