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Geographic proximity and price discovery: Evidence from NASDAQ

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  • Anand, Amber
  • Gatchev, Vladimir A.
  • Madureira, Leonardo
  • Pirinsky, Christo A.
  • Underwood, Shane

Abstract

We use the NASDAQ market making context to study the role of geographic proximity in the price discovery of a firm's stock. We show that market makers closer to the firm's headquarters spend more time at the inside bid and ask quotes, initiate larger changes in the quotes, and account for greater information share when compared to non-local market makers. Examining a sample of relocating firms, we also find that market makers moving farther away from the firm after relocation experience a reduction in their contributions to price discovery. Our results suggest that some (local) market makers possess superior information relative to other (non-local) market makers and they trade strategically on this information, a finding that challenges the traditional assumptions in market microstructure theory.

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  • Anand, Amber & Gatchev, Vladimir A. & Madureira, Leonardo & Pirinsky, Christo A. & Underwood, Shane, 2011. "Geographic proximity and price discovery: Evidence from NASDAQ," Journal of Financial Markets, Elsevier, vol. 14(2), pages 193-226, May.
    • Handle: RePEc:eee:finmar:v:14:y:2011:i:2:p:193-226
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    Cited by:

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    2. Gormley, Todd A. & Kaplan, Zachary & Verma, Aadhaar, 2022. "More informative disclosures, less informative prices? Portfolio and price formation around quarter-ends," Journal of Financial Economics, Elsevier, vol. 146(2), pages 665-688.
    3. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid-Ask Spread?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1482-1498.
    4. Hao Gao & Yuanyu Qu & Tao Shen, 2022. "Geographic proximity and price efficiency: Evidence from high‐speed railway connections between firms and financial centers," Financial Management, Financial Management Association International, vol. 51(1), pages 117-141, March.
    5. Corbet, Shaen & Hou, Yang & Hu, Yang & Oxley, Les, 2020. "The influence of the COVID-19 pandemic on asset-price discovery: Testing the case of Chinese informational asymmetry," International Review of Financial Analysis, Elsevier, vol. 72(C).
    6. Wang, Jianxin, 2014. "Overnight price discovery and the internationalization of a currency: The case of the Korean won," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 86-95.
    7. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 27, July-Dece.
    8. Cooney, John W. & Madureira, Leonardo & Singh, Ajai K. & Yang, Ke, 2015. "Social ties and IPO outcomes," Journal of Corporate Finance, Elsevier, vol. 33(C), pages 129-146.
    9. 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.
    10. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid‐Ask Spread?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 101(5), pages 1482-1498, October.
    11. O'Brien, Patricia C. & Tan, Hongping, 2015. "Geographic proximity and analyst coverage decisions: Evidence from IPOs," Journal of Accounting and Economics, Elsevier, vol. 59(1), pages 41-59.
    12. Laurence Lescourret, 2017. "Cold Case File? Inventory Risk and Information Sharing during the pre†1997 NASDAQ," European Financial Management, European Financial Management Association, vol. 23(4), pages 761-806, September.
    13. Ran Xiao, 2019. "Essays on Price Discovery and Volatility Dynamics in Emerging Market Currencies," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2019.
    14. Laurence Lescourret, 2012. "Non-fundamental Information and Market-makers' Behavior during the NASDAQ Preopening Session," Post-Print hal-00772798, HAL.
    15. 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.
    16. Arzandeh, Mehdi & Frank, Julieta, 2017. "The Information Content of the Limit Order Book," 7th Annual Canadian Agri-Food Policy Conference, January 11-13, 2017, Ottawa, ON 253251, Canadian Agricultural Economics Society.
    17. Martin Hauptfleisch, 2019. "Financial Decision-Making Using Data," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2019.
    18. Arzandeh, Mehdi & Frank, Julieta, 2017. "Price Discovery in Agricultural Futures Markets: Should We Look Beyond the Best Bid-Ask Spread?," Annual Meeting, 2017, June 18-21, Montreal, Canada 259344, Canadian Agricultural Economics Society.
    19. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2015.

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