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Know Thy Neighbor: Industry Clusters, Information Spillovers, and Market Efficiency

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  • Engelberg, Joseph
  • Ozoguz, Arzu
  • Wang, Sean

Abstract

Firms in industry clusters have market prices that are more efficient than firms outside clusters. To establish causality, we analyze exogenous firm relocations and find that firms that relocate into industry clusters have higher levels of industry information in their prices. We argue that geographical proximity allows for information spillovers, reducing marginal cost to information producers. Our evidence supports this view: Analysts are more likely to cover stocks inside industry clusters, and when institutional investors have a large position in one stock in the industry cluster, they are more likely to hold other stocks in the same industry cluster.

Suggested Citation

  • Engelberg, Joseph & Ozoguz, Arzu & Wang, Sean, 2018. "Know Thy Neighbor: Industry Clusters, Information Spillovers, and Market Efficiency," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(5), pages 1937-1961, October.
    • Handle: RePEc:cup:jfinqa:v:53:y:2018:i:05:p:1937-1961_00
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    Cited by:

    1. Vadim S. Balashov & Zhanel B. DeVides, 2020. "Is Diversification A Job Safety Net For Sell‐Side Analysts?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(3), pages 543-573, August.
    2. Harris, Oneil & Karl, J. Bradley & Lawrence, Ericka, 2019. "CEO compensation and earnings management: Does gender really matters?," Journal of Business Research, Elsevier, vol. 98(C), pages 1-14.
    3. Ge, Shuyi & Li, Shaoran & Linton, Oliver, 2023. "News-implied linkages and local dependency in the equity market," Journal of Econometrics, Elsevier, vol. 235(2), pages 779-815.
    4. Giulia Baschieri & Andrea Carosi & Stefano Mengoli, 2023. "Local IPO waves, local shocks, and the going public decision," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2565-2589, July.
    5. Anagol, Santosh & Balasubramaniam, Vimal & Ramadorai, Tarun, 2021. "Learning from noise: Evidence from India’s IPO lotteries," Journal of Financial Economics, Elsevier, vol. 140(3), pages 965-986.
    6. 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.
    7. Li, Jianqiang & Shan, Yaowen & Tian, Gary & Hao, Xiangchao, 2020. "Labor cost, government intervention, and corporate innovation: Evidence from China," Journal of Corporate Finance, Elsevier, vol. 64(C).
    8. Xingwei Li & Jingru Li & Yicheng Huang & Jinrong He & Xiang Liu & Jiachi Dai & Qiong Shen, 2022. "Construction enterprises’ adoption of green development behaviors: an agent-based modeling approach," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    9. Lucía Bolea & Rosa Duarte & Geoffrey J. D. Hewings & Sofía Jiménez & Julio Sánchez‐Chóliz, 2022. "The role of regions in global value chains: an analysis for the European Union," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 771-794, August.
    10. Jang, In Ji & Kang, Namho & Yezegel, Ari, 2022. "Common ownership, price informativeness, and corporate investment," Journal of Banking & Finance, Elsevier, vol. 135(C).
    11. Meghana Ayyagari & Yuxi Cheng & Ariel Weinberger, 2022. "Surviving Pandemics: The Role of Spillovers," CESifo Working Paper Series 9891, CESifo.
    12. Ge, S. & Li, S. & Linton, O. B. & Liu, W. & Su, W., 2024. "Should We Augment Large Covariance Matrix Estimation with Auxiliary Network Information?," Janeway Institute Working Papers 2416, Faculty of Economics, University of Cambridge.
    13. Ge, S. & Li, S. & Linton, O. B. & Liu, W. & Su, W., 2024. "Should We Augment Large Covariance Matrix Estimation with Auxiliary Network Information?," Cambridge Working Papers in Economics 2427, Faculty of Economics, University of Cambridge.
    14. Ge, Yao & Qiao, Zheng & Zheng, Hao, 2023. "Local labor market and the cross section of stock returns," Journal of International Money and Finance, Elsevier, vol. 138(C).
    15. Wang, Sean, 2019. "Informational environments and the relative information content of analyst recommendations and insider trades," Accounting, Organizations and Society, Elsevier, vol. 72(C), pages 61-73.
    16. William Grieser & James LeSage & Morad Zekhnini, 2022. "Industry Networks and the Geography of Firm Behavior," Management Science, INFORMS, vol. 68(8), pages 6163-6183, August.
    17. Sorabh Tomar, 2023. "Greenhouse Gas Disclosure and Emissions Benchmarking," Journal of Accounting Research, Wiley Blackwell, vol. 61(2), pages 451-492, May.
    18. Grieser, William & Maturana, Gonzalo & Spyridopoulos, Ioannis & Truffa, Santiago, 2022. "Agglomeration, knowledge spillovers, and corporate investment," Journal of Corporate Finance, Elsevier, vol. 77(C).

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