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Data analysis technology and inequality in capital costs

Author

Listed:
  • Wang, Keyun
  • Xu, Fengmin
  • Wang, Shihao
  • Li, Benchu

Abstract

This paper studies how data analysis technology impacts inequality in capital costs (ICC). We build a noisy rational expectations model with data budget, data supply, and the heterogeneous marginal value of firms’ data. We find that the growth in data analysis technology exacerbates ICC by crowding out investors’ attention on the firm with a low marginal value of its data. The widening gap in the marginal value of data between different firms amplifies this crowding-out effect and further exacerbates ICC. Increasing investors’ data budget can effectively mitigate ICC when the marginal value of data exceeds the specific threshold.

Suggested Citation

  • Wang, Keyun & Xu, Fengmin & Wang, Shihao & Li, Benchu, 2024. "Data analysis technology and inequality in capital costs," Economics Letters, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:ecolet:v:237:y:2024:i:c:s0165176524001459
    DOI: 10.1016/j.econlet.2024.111662
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    References listed on IDEAS

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    1. Bartlett, Robert & Morse, Adair & Stanton, Richard & Wallace, Nancy, 2022. "Consumer-lending discrimination in the FinTech Era," Journal of Financial Economics, Elsevier, vol. 143(1), pages 30-56.
    2. Ding, Na & Gu, Leilei & Peng, Yuchao, 2022. "Fintech, financial constraints and innovation: Evidence from China," Journal of Corporate Finance, Elsevier, vol. 73(C).
    3. Kacperczyk, Marcin & Nosal, Jaromir & Stevens, Luminita, 2019. "Investor sophistication and capital income inequality," Journal of Monetary Economics, Elsevier, vol. 107(C), pages 18-31.
    4. Juliane Begenau & Maryam Farboodi & Laura Veldkamp, 2018. "Big Data in Finance and the Growth of Large Firms," Working Papers 18-08, New York University, Leonard N. Stern School of Business, Department of Economics.
    5. Juliane Begenau & Maryam Farboodi & Laura Veldkamp, 2018. "Big Data in Finance and the Growth of Large Firms," NBER Working Papers 24550, National Bureau of Economic Research, Inc.
    6. Dutta, Sunil & Nezlobin, Alexander, 2017. "Information disclosure, firm growth, and the cost of capital," Journal of Financial Economics, Elsevier, vol. 123(2), pages 415-431.
    7. Maryam Farboodi & Laura Veldkamp, 2020. "Long-Run Growth of Financial Data Technology," American Economic Review, American Economic Association, vol. 110(8), pages 2485-2523, August.
    8. Richard Lambert & Christian Leuz & Robert E. Verrecchia, 2007. "Accounting Information, Disclosure, and the Cost of Capital," Journal of Accounting Research, Wiley Blackwell, vol. 45(2), pages 385-420, May.
    9. Abraham,Facundo & Schmukler,Sergio L. & Tessada,Jose, 2019. "Robo-Advisors : Investing through Machines," Research and Policy Briefs 134881, The World Bank.
    10. Juliane Begenau & Laura Veldkamp & Maryam Farboodi, 2018. "Big Data in Finance and the Growth of Large Firms," 2018 Meeting Papers 155, Society for Economic Dynamics.
    11. 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.
    12. repec:bla:jfinan:v:59:y:2004:i:4:p:1553-1583 is not listed on IDEAS
    13. Liu, Nian & Qian, Yihe & Gu, Xinhua & Li, Guoqiang, 2024. "Digital technology, e-commerce, and economic inequality: The case of China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 259-271.
    14. Murtaza Hussain & Shaohua Yang & Umer Sahil Maqsood & R. M. Ammar Zahid, 2024. "Tapping into the green potential: The power of artificial intelligence adoption in corporate green innovation drive," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4375-4396, July.
    15. Xu, Liao & Zhang, Xuan & Zhao, Jing, 2023. "Limited investor attention and biased reactions to information: Evidence from the COVID-19 pandemic," Journal of Financial Markets, Elsevier, vol. 62(C).
    16. Frost, Jon & Gambacorta, Leonardo & Gambacorta, Romina, 2022. "On the nexus between wealth inequality, financial development and financial technology," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 429-451.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Data analysis technology; Data budget; Inequality in capital costs;
    All these keywords.

    JEL classification:

    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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