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Home-Biased Analysts in Emerging Markets

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  • Lai, Sandy
  • Teo, Melvyn

Abstract

We find that local analyst recommendations are systematically more optimistic than foreign analyst recommendations in emerging markets. The effects of this novel “home bias” among local analysts overwhelm any information asymmetry between foreign and local analysts. Consequently, local analyst upgrades underperform foreign analyst upgrades, while local analyst downgrades outperform foreign analyst downgrades. Neither foreign investors, local institutions, nor retail investors appear to be fully cognizant of this bias. Trade reactions suggest that foreign investors overestimate the bias in foreign analyst recommendations while local institutions underestimate the bias in local analyst recommendations. These results are pervasive across countries, time periods, and stock groupings, and can be traced to investment banking pressure.

Suggested Citation

  • Lai, Sandy & Teo, Melvyn, 2008. "Home-Biased Analysts in Emerging Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(3), pages 685-716, September.
    • Handle: RePEc:cup:jfinqa:v:43:y:2008:i:03:p:685-716_00
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    Cited by:

    1. Marco Bade & Martin Walther, 2021. "Local preferences and the allocation of attention in equity-based crowdfunding," Review of Managerial Science, Springer, vol. 15(8), pages 2501-2533, November.
    2. T. Hendricks & B. Kempa & C. Pierdzioch, 2010. "Do local analysts have an informational advantage in forecasting stock returns? Evidence from the German DAX30," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 24(2), pages 137-158, June.
    3. Tiniç, Murat & Tanyeri, Başak & Bodur, Mehmet, 2021. "Who to trust? Reactions to analyst recommendations of domestic versus foreign brokerage houses in a developing stock market," Finance Research Letters, Elsevier, vol. 43(C).
    4. Jonathan Batten & Xuan Vinh Vo, 2010. "The determinates of equity portfolio holdings," Applied Financial Economics, Taylor & Francis Journals, vol. 20(14), pages 1125-1132.
    5. Pradeep K. Chintagunta & Junhong Chu, 2021. "Geography as branding: Descriptive evidence from Taobao," Quantitative Marketing and Economics (QME), Springer, vol. 19(1), pages 53-92, March.
    6. Mingfeng Lin & Siva Viswanathan, 2016. "Home Bias in Online Investments: An Empirical Study of an Online Crowdfunding Market," Management Science, INFORMS, vol. 62(5), pages 1393-1414, May.
    7. Jennie Bai & Massimo Massa, 2021. "Is Human-Interaction-based Information Substitutable? Evidence from Lockdown," NBER Working Papers 29513, National Bureau of Economic Research, Inc.
    8. Farooq, Omar, 2013. "Who was informative? Performance of foreign and local analysts’ stock recommendations during the Asian financial crisis," Research in International Business and Finance, Elsevier, vol. 29(C), pages 61-76.
    9. Anolli, Mario & Beccalli, Elena & Molyneux, Philip, 2014. "Bank earnings forecasts, risk and the crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 309-335.
    10. Li, Xuan, 2023. "Home bias in shareholder voting," Discussion Papers 2023/21, Norwegian School of Economics, Department of Business and Management Science.
    11. Eduard Gaar & David Scherer & Dirk Schiereck, 2022. "The home bias and the local bias: A survey," Management Review Quarterly, Springer, vol. 72(1), pages 21-57, February.
    12. Chen, An-Sing & Chang, Chong-Chuo & Cheng, Lee-Young & Tu, Hsing-Yu, 2016. "Do analysts cater to investor beliefs via target prices," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 232-252.
    13. Marcet, Francisco, 2017. "Analyst coverage network and stock return comovement in emerging markets," Emerging Markets Review, Elsevier, vol. 32(C), pages 1-27.
    14. Christina Guenther & Sofia Johan & Denis Schweizer, 2018. "Is the crowd sensitive to distance?—how investment decisions differ by investor type," Small Business Economics, Springer, vol. 50(2), pages 289-305, February.
    15. Justin Cox & Adam Schwartz & Robert Ness, 2020. "Does what happen in Vegas stay in Vegas? Football gambling and stock market activity," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 724-748, October.
    16. Xie, Lingmin & Chen, Zhian & Li, Donghui & Tan, Hongping, 2022. "Foreign analysts and managerial investment learning from stock markets," Journal of Multinational Financial Management, Elsevier, vol. 64(C).
    17. Vesa Pursiainen, 2022. "Cultural Biases in Equity Analysis," Journal of Finance, American Finance Association, vol. 77(1), pages 163-211, February.
    18. Xia, Yanchun & Qiao, Zhilin & Xie, Guanghua, 2022. "Corporate resilience to the COVID-19 pandemic: The role of digital finance," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    19. Park, Tae-Jun & Lee, Youngjoo & Song, Kyojik “Roy”, 2014. "Informed trading before positive vs. negative earnings surprises," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 228-241.
    20. Francesca Di Pietro & Francesca Masciarelli, 2022. "The Effect of Local Religiosity on Financing Cross-Regional Entrepreneurial Projects Via Crowdfunding (Local Religiosity and Crowdfinancing)," Journal of Business Ethics, Springer, vol. 178(2), pages 429-443, June.

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