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Language Commonality and Sell-Side Information Production

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  • Ruishen Zhang

    (Institute of Accounting and Finance, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract

I study the effects of language commonality (i.e., sharing a native language) on information production in financial markets. Using a hand-collected data set on the prevalent dialects for 2,091 cities (counties) in China, I identify the effects of language commonality separately from those of shared hometown and geographic proximity. In in-sample tests, language commonality between analysts and CEOs increases the return of trading on analysts’ recommendations by 5.5%. The results mainly stem from less intelligible dialects. Broadly speaking, language commonality can alleviate communication frictions when nonnative languages are used in professional settings.

Suggested Citation

  • Ruishen Zhang, 2022. "Language Commonality and Sell-Side Information Production," Management Science, INFORMS, vol. 68(6), pages 4435-4453, June.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:6:p:4435-4453
    DOI: 10.1287/mnsc.2021.4059
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    References listed on IDEAS

    as
    1. Lauren Cohen & Andrea Frazzini & Christopher Malloy, 2010. "Sell‐Side School Ties," Journal of Finance, American Finance Association, vol. 65(4), pages 1409-1437, August.
    2. Womack, Kent L, 1996. "Do Brokerage Analysts' Recommendations Have Investment Value?," Journal of Finance, American Finance Association, vol. 51(1), pages 137-167, March.
    3. Engelberg, Joseph & Gao, Pengjie & Parsons, Christopher A., 2012. "Friends with money," Journal of Financial Economics, Elsevier, vol. 103(1), pages 169-188.
    4. Qiang Cheng & Fei Du & Xin Wang & Yutao Wang, 2016. "Seeing is believing: analysts’ corporate site visits," Review of Accounting Studies, Springer, vol. 21(4), pages 1245-1286, December.
    5. Stijn Van Nieuwerburgh & Laura Veldkamp, 2009. "Information Immobility and the Home Bias Puzzle," Journal of Finance, American Finance Association, vol. 64(3), pages 1187-1215, June.
    6. Daniel, Kent, et al, 1997. "Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-1058, July.
    7. Raymond Fisman & Daniel Paravisini & Vikrant Vig, 2017. "Cultural Proximity and Loan Outcomes," American Economic Review, American Economic Association, vol. 107(2), pages 457-492, February.
    8. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2009. "Cultural Biases in Economic Exchange?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1095-1131.
    9. Daniel Bradley & Sinan Gokkaya & Xi Liu, 2020. "Ties That Bind: The Value of Professional Connections to Sell-Side Analysts," Management Science, INFORMS, vol. 66(9), pages 4118-4151, September.
    10. Klaus Desmet & Ignacio Ortuño-Ortín & Romain Wacziarg, 2017. "Culture, Ethnicity, and Diversity," American Economic Review, American Economic Association, vol. 107(9), pages 2479-2513, September.
    11. Harrison Hong & Jeffrey D. Kubik, 2003. "Analyzing the Analysts: Career Concerns and Biased Earnings Forecasts," Journal of Finance, American Finance Association, vol. 58(1), pages 313-351, February.
    12. Yonca Ertimur & Jayanthi Sunder & Shyam V. Sunder, 2007. "Measure for Measure: The Relation between Forecast Accuracy and Recommendation Profitability of Analysts," Journal of Accounting Research, Wiley Blackwell, vol. 45(3), pages 567-606, June.
    13. Raymond Fisman & Jing Shi & Yongxiang Wang & Rong Xu, 2018. "Social Ties and Favoritism in Chinese Science," Journal of Political Economy, University of Chicago Press, vol. 126(3), pages 1134-1171.
    14. Francis, J & Soffer, L, 1997. "The relative informativeness of analysts' stock recommendations and earnings forecast revisions," Journal of Accounting Research, Wiley Blackwell, vol. 35(2), pages 193-211.
    15. Du, Qianqian & Yu, Frank & Yu, Xiaoyun, 2017. "Cultural Proximity and the Processing of Financial Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(6), pages 2703-2726, December.
    16. repec:bla:jfinan:v:59:y:2004:i:3:p:1083-1124 is not listed on IDEAS
    17. Casey Dougal & Christopher A. Parsons & Sheridan Titman, 2015. "Urban Vibrancy and Corporate Growth," Journal of Finance, American Finance Association, vol. 70(1), pages 163-210, February.
    18. Brad Barber & Reuven Lehavy & Maureen McNichols & Brett Trueman, 2001. "Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns," Journal of Finance, American Finance Association, vol. 56(2), pages 531-563, April.
    19. Takao Kato & Cheryl Long, 2006. "Executive Turnover and Firm Performance in China," American Economic Review, American Economic Association, vol. 96(2), pages 363-367, May.
    20. Michael Firth & Peter M. Y. Fung & Oliver M. Rui, 2006. "Firm Performance, Governance Structure, and Top Management Turnover in a Transitional Economy," Journal of Management Studies, Wiley Blackwell, vol. 43(6), pages 1289-1330, September.
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    4. Ding, Guolei & Lei, Jin & Liu, Yunxiao & Wang, Zhen, 2024. "Supplier–customer cultural similarity and supplier performance," Journal of Banking & Finance, Elsevier, vol. 163(C).

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