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Geographic Lead-Lag Effects

Author

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  • Christopher A Parsons
  • Riccardo Sabbatucci
  • Sheridan Titman

Abstract

We document lead-lag effects on returns between coheadquartered firms in different sectors. Geographic lead-lags yield risk-adjusted returns of 5%–6% annually, half that observed for industry lead-lag effects. Whereas industry lead-lag effects are strongest among small, thinly traded stocks with low analyst coverage, geographic lead-lags are unrelated to these proxies for investor scrutiny. We propose an explanation linked to the structure of the investment analyst business, which is organized by sector, not by geographic region. Our findings suggest that in lead-lag relationships, analysts common to both leading and lagging firms are important, regardless of the number of analysts covering each individually.

Suggested Citation

  • Christopher A Parsons & Riccardo Sabbatucci & Sheridan Titman, 2020. "Geographic Lead-Lag Effects," The Review of Financial Studies, Society for Financial Studies, vol. 33(10), pages 4721-4770.
    • Handle: RePEc:oup:rfinst:v:33:y:2020:i:10:p:4721-4770.
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    File URL: http://hdl.handle.net/10.1093/rfs/hhz145
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    Cited by:

    1. Li, Xiyang & Chen, Xiaoyue & Li, Bin & Singh, Tarlok & Shi, Kan, 2022. "Predictability of stock market returns: New evidence from developed and developing countries," Global Finance Journal, Elsevier, vol. 54(C).
    2. Dichev, Ilia D. & Qian, Jingyi, 2022. "The benefits of transaction-level data: The case of NielsenIQ scanner data," Journal of Accounting and Economics, Elsevier, vol. 74(1).
    3. Barnes, Spencer, 2021. "Killing in the stock market: Evidence from organ donations," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    4. Kumar, Alok & Rantala, Ville & Xu, Rosy, 2022. "Social learning and analyst behavior," Journal of Financial Economics, Elsevier, vol. 143(1), pages 434-461.
    5. 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.
    6. Chen, Zhenhua & Liu, Zhenya & Teka, Hanen & Zhang, Yifan, 2022. "Smart money in China's A-share market: Evidence from big data," Research in International Business and Finance, Elsevier, vol. 61(C).
    7. 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).
    8. Hope, Ole-Kristian & Su, Xijiang, 2021. "Peer-level analyst transitions," Journal of Corporate Finance, Elsevier, vol. 70(C).
    9. Raddant, Matthias & Kenett, Dror Y., 2021. "Interconnectedness in the global financial market," Journal of International Money and Finance, Elsevier, vol. 110(C).
    10. Chen, Zilin & Chu, Liya & Liang, Dawei & Tu, Jun, 2022. "Far away from home: Investors’ underreaction to geographically dispersed information," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    11. Huang, Shiyang & Lin, Tse-Chun & Xiang, Hong, 2021. "Psychological barrier and cross-firm return predictability," Journal of Financial Economics, Elsevier, vol. 142(1), pages 338-356.
    12. Wang, Wenlong & Huang, Yuqin & Watson, John & Yang, Bowen, 2023. "The intra-regional spillover effects of bond defaults: Evidence from the Chinese corporate debt market," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    13. Yan, Jingda & Yu, Jialin, 2023. "Cross-stock momentum and factor momentum," Journal of Financial Economics, Elsevier, vol. 150(2).
    14. Chang, Ran & Gonzalez, Angelica & Sarkissian, Sergei & Tu, Jun, 2022. "Internal capital markets and predictability in complex ownership firms," Journal of Corporate Finance, Elsevier, vol. 74(C).
    15. Xingyue Pu & Stefan Zohren & Stephen Roberts & Xiaowen Dong, 2023. "Learning to Learn Financial Networks for Optimising Momentum Strategies," Papers 2308.12212, arXiv.org.
    16. Huang, Allen H. & Lin, An-Ping & Zang, Amy Y., 2022. "Cross-industry information sharing among colleagues and analyst research," Journal of Accounting and Economics, Elsevier, vol. 74(1).
    17. Li Guo & Wolfgang Karl Hardle & Yubo Tao, 2018. "A Time-Varying Network for Cryptocurrencies," Papers 1802.03708, arXiv.org, revised Nov 2022.
    18. Yi, Biao & Xiang, Xueman, 2023. "Pair analyst coverage and return comovement: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    19. Cao, Zhengyu & Wang, Rundong & Xiao, Xinrong & Yin, Chengxi, 2023. "Disseminating information across connected firms — Analyst site visits can help," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 510-531.
    20. Xiaoyue Chen & Bin Li & Andrew C. Worthington, 2022. "Realised volatility and industry momentum returns," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    21. Huang, Shiyang & Lee, Charles M.C. & Song, Yang & Xiang, Hong, 2022. "A frog in every pan: Information discreteness and the lead-lag returns puzzle," Journal of Financial Economics, Elsevier, vol. 145(2), pages 83-102.
    22. 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.
    23. Xin Chen & Wei He & Libin Tao & Jianfeng Yu, 2023. "Attention and Underreaction-Related Anomalies," Management Science, INFORMS, vol. 69(1), pages 636-659, January.
    24. Ana Monteiro & Nuno Silva & Helder Sebastião, 2023. "Industry return lead-lag relationships between the US and other major countries," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-48, December.
    25. Nuno Silva & Pedro Dias Moreira, 2023. "On the forecasting power of corporate sales growth determinants," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

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