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Investment in a Smaller World: The Implications of Air Travel for Investors and Firms

Author

Listed:
  • Zhi Da

    (University of Notre Dame, Notre Dame, Indiana 46556;)

  • Umit G. Gurun

    (University of Texas at Dallas, Richardson, Texas 75080;)

  • Bin Li

    (University of Oklahoma, Norman, Oklahoma 73019;)

  • Mitch Warachka

    (Chapman University, Orange, California 92866)

Abstract

A large literature reports that proximity influences investment. We extend the measurement of proximity beyond distance and report that air travel reduces local investment bias. This result is confirmed using the initiation of connecting flights through recently opened air hubs because investment at destinations served by these connecting flights increases after, not before, their initiation. Air travel also broadens the investor base of firms and lowers their cost of equity by approximately 1%. Overall, air travel improves the diversification of investor portfolios and lowers the cost of equity for firms.

Suggested Citation

  • Zhi Da & Umit G. Gurun & Bin Li & Mitch Warachka, 2021. "Investment in a Smaller World: The Implications of Air Travel for Investors and Firms," Management Science, INFORMS, vol. 67(1), pages 417-435, January.
    • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:1:p:417-435
    DOI: 10.1287/mnsc.2019.3452
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    References listed on IDEAS

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    Cited by:

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    2. Xiong, Jiacai & Ouyang, Caiyue & Tong, Jamie Yixing & Zhang, Feida Frank, 2021. "Fraud commitment in a smaller world: Evidence from a natural experiment," Journal of Corporate Finance, Elsevier, vol. 70(C).
    3. 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.
    4. Zhang, Chi & Kandilov, Ivan T. & Walker, Mark D., 2021. "Direct flights and cross-border mergers & acquisitions," Journal of Corporate Finance, Elsevier, vol. 70(C).
    5. Hu, Junjie & Härdle, Wolfgang, 2021. "Networks of news and cross-sectional returns," IRTG 1792 Discussion Papers 2021-023, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    6. Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong & Wu, Youyi, 2022. "Transportation infrastructure and bond issuance credit spread: Evidence from the Chinese high-speed rail construction," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 30-47.

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