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Smart (phone) investing? A within investor-time analysis of new technologies and trading behavior

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  • Kalda, Ankit
  • Loos, Benjamin
  • Previtero, Alessandro
  • Hackethal, Andreas

Abstract

Using transaction-level data from two German banks, we study the effects of smartphones on investor behavior. Comparing trades by the same investor in the same month across different platforms, we find that smartphones increase purchasing of riskier and lottery-type assets and chasing past returns. After the adoption of smartphones, investors do not substitute trades across platforms and buy also riskier, lottery-type, and hot investments on other platforms. Using smartphones to trade specific assets or during specific hours contributes to explain our results. Digital nudges and the device screen size do not mechanically drive our results. Smartphone effects are not transitory

Suggested Citation

  • Kalda, Ankit & Loos, Benjamin & Previtero, Alessandro & Hackethal, Andreas, 2021. "Smart (phone) investing? A within investor-time analysis of new technologies and trading behavior," SAFE Working Paper Series 303, Leibniz Institute for Financial Research SAFE.
  • Handle: RePEc:zbw:safewp:303
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    References listed on IDEAS

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    1. Choi, James J. & Laibson, David & Metrick, Andrew, 2002. "How does the Internet affect trading? Evidence from investor behavior in 401(k) plans," Journal of Financial Economics, Elsevier, vol. 64(3), pages 397-421, June.
    2. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    3. Andreas Fuster & Matthew Plosser & Philipp Schnabl & James Vickery, 2019. "The Role of Technology in Mortgage Lending," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1854-1899.
    4. Michael S. Haigh & John A. List, 2005. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Journal of Finance, American Finance Association, vol. 60(1), pages 523-534, February.
    5. Antonio Gargano & Alberto G Rossi, 2018. "Does It Pay to Pay Attention?," The Review of Financial Studies, Society for Financial Studies, vol. 31(12), pages 4595-4649.
    6. Buchak, Greg & Matvos, Gregor & Piskorski, Tomasz & Seru, Amit, 2018. "Fintech, regulatory arbitrage, and the rise of shadow banks," Journal of Financial Economics, Elsevier, vol. 130(3), pages 453-483.
    7. Ivo Welch, 2022. "The Wisdom of the Robinhood Crowd," Journal of Finance, American Finance Association, vol. 77(3), pages 1489-1527, June.
    8. Brad M. Barber & Terrance Odean, 2002. "Online Investors: Do the Slow Die First?," The Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 455-488, March.
    9. Fos, Vyacheslav & Hamdi, Naser & Kalda, Ankit & Nickerson, Jordan, 2019. "Gig-Labor: Trading Safety Nets for Steering Wheels," CEPR Discussion Papers 13885, C.E.P.R. Discussion Papers.
    10. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
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    Cited by:

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    3. Borsboom, Charlotte & Janssen, Dirk-Jan & Strucks, Markus & Zeisberger, Stefan, 2022. "History matters: How short-term price charts hurt investment performance," Journal of Banking & Finance, Elsevier, vol. 134(C).
    4. Cookson, J. Anthony & Niessner, Marina & Schiller, Christoph M., 2022. "Can Social Media Inform Corporate Decisions? Evidence from Merger Withdrawals," SocArXiv 56yrj, Center for Open Science.

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    Keywords

    fintech; investor behavior; financial risk-taking; lottery-type assets; investment biases; trend chasing; spillover effects;
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