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Big data in finance and the growth of large firms

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  • Begenau, Juliane
  • Farboodi, Maryam
  • Veldkamp, Laura

Abstract

Two modern economic trends are the increase in firm size and advances in information technology. We explore the hypothesis that big data disproportionately benefits big firms. Because they have more economic activity and a longer firm history, large firms have produced more data. As processor speed rises, abundant data attracts more financial analysis. Data analysis improves investors’ forecasts and reduces equity uncertainty, reducing the firm’s cost of capital. When investors can process more data, large firm investment costs fall by more, enabling large firms to grow larger.

Suggested Citation

  • Begenau, Juliane & Farboodi, Maryam & Veldkamp, Laura, 2018. "Big data in finance and the growth of large firms," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 71-87.
    • Handle: RePEc:eee:moneco:v:97:y:2018:i:c:p:71-87
    DOI: 10.1016/j.jmoneco.2018.05.013
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    1. Christopher A. Hennessy & Toni M. Whited, 2007. "How Costly Is External Financing? Evidence from a Structural Estimation," Journal of Finance, American Finance Association, vol. 62(4), pages 1705-1745, August.
    2. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    3. Stijn Van Nieuwerburgh & Laura Veldkamp, 2010. "Information Acquisition and Under-Diversification," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 779-805.
    4. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    5. Bai, Jennie & Philippon, Thomas & Savov, Alexi, 2016. "Have financial markets become more informative?," Journal of Financial Economics, Elsevier, vol. 122(3), pages 625-654.
    6. Thomas F. Cooley & Vincenzo Quadrini, 2001. "Financial Markets and Firm Dynamics," American Economic Review, American Economic Association, vol. 91(5), pages 1286-1310, December.
    7. Vojislav Maksimovic & Alex Stomper & Josef Zechner, 1999. "Capital Structure, Information Acquisition and Investment Decisions in an Industry Framework," Review of Finance, European Finance Association, vol. 2(3), pages 251-271.
    8. Kacperczyk, Marcin & Nosal, Jaromir & Stevens, Luminita, 2019. "Investor sophistication and capital income inequality," Journal of Monetary Economics, Elsevier, vol. 107(C), pages 18-31.
    9. Emre Ozdenoren & Kathy Yuan, 2008. "Feedback Effects and Asset Prices," Journal of Finance, American Finance Association, vol. 63(4), pages 1939-1975, August.
    10. Vanasco, Victoria & Asriyan, Vladimir, 2014. "Informed Intermediation over the Cycle," Research Papers 3235, Stanford University, Graduate School of Business.
    11. Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
    12. Vincent Glode & Richard C. Green & Richard Lowery, 2012. "Financial Expertise as an Arms Race," Journal of Finance, American Finance Association, vol. 67(5), pages 1723-1759, October.
    13. Joao F. Gomes, 2001. "Financing Investment," American Economic Review, American Economic Association, vol. 91(5), pages 1263-1285, December.
    14. Bernhardt, Dan & Hollifield, Burton & Hughson, Eric, 1995. "Investment and Insider Trading," The Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 501-543.
    15. Marcin Kacperczyk & Stijn Van Nieuwerburgh & Laura Veldkamp, 2016. "A Rational Theory of Mutual Funds' Attention Allocation," Econometrica, Econometric Society, vol. 84, pages 571-626, March.
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    More about this item

    Keywords

    Big data; Fintech; Firm size;
    All these keywords.

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • G1 - Financial Economics - - General Financial Markets
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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