IDEAS home Printed from https://ideas.repec.org/p/zbw/safewp/303.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/229431/1/1747404608.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    7. 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.
    8. Ivo Welch, 2022. "The Wisdom of the Robinhood Crowd," Journal of Finance, American Finance Association, vol. 77(3), pages 1489-1527, June.
    9. 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.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hasso, Tim & Müller, Daniel & Pelster, Matthias & Warkulat, Sonja, 2022. "Who participated in the GameStop frenzy? Evidence from brokerage accounts," Finance Research Letters, Elsevier, vol. 45(C).
    2. Mark Marner-Hausen, 2022. "Developing a Framework for Real-Time Trading in a Laboratory Financial Market," ECONtribute Discussion Papers Series 172, University of Bonn and University of Cologne, Germany.
    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. Rene Schwaiger & Markus Strucks & Stefan Zeisberger, 2024. "The Consequences of Narrow Framing for Risk-Taking: A Stress Test of Myopic Loss Aversion," Working Papers 2024-05, Faculty of Economics and Statistics, Universität Innsbruck.
    5. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    2. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    3. Chen, S. & Doerr, S. & Frost, J. & Gambacorta, L. & Shin, H.S., 2023. "The fintech gender gap," Journal of Financial Intermediation, Elsevier, vol. 54(C).
    4. Li An & Huijun Wang & Jian Wang & Jianfeng Yu, 2020. "Lottery-Related Anomalies: The Role of Reference-Dependent Preferences," Management Science, INFORMS, vol. 66(1), pages 473-501, January.
    5. Kuvvet, Emre, 2022. "Robinhood investors and corporate misconduct," Global Finance Journal, Elsevier, vol. 54(C).
    6. David Hirshleife, 2015. "Behavioral Finance," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 133-159, December.
    7. Byeongchan An & Robert M. Bushman & Anya V. Kleymenova & Rimmy E. Tomy, 2022. "Social Externalities of Bank Enforcement Actions: The Case of Minority Lending," Finance and Economics Discussion Series 2022-036, Board of Governors of the Federal Reserve System (U.S.).
    8. Jung, Woosung & Kim, Donghyun & Sul, Hong Kee, 2023. "Investment behavior of retail investors in response to COVID-19 economic impact payments," Economics Letters, Elsevier, vol. 233(C).
    9. Zhong, Xiaoling & Wang, Junbo, 2018. "Prospect theory and corporate bond returns: An empirical study," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 25-48.
    10. Zheng, Zhigang & Tang, Ke & Liu, Yaodong & Guo, Jie Michael, 2021. "Gender and herding," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 379-400.
    11. Pelster, Matthias, 2019. "Attracting attention from peers: Excitement in social trading," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 158-179.
    12. Xu, Rong & Liu, Yaodong & Hu, Nan & Guo, Jie (Michael), 2022. "What drives individual investors in the bear market?," The British Accounting Review, Elsevier, vol. 54(6).
    13. Li An & Huijun Wang & Jian Wang & Jianfeng Yu, 2015. "Lottery-related anomalies: the role of reference-dependent preferences," Globalization Institute Working Papers 259, Federal Reserve Bank of Dallas.
    14. Su (Sally) Gan & Richard Heaney & Paul Gerrans, 2015. "Individual investor portfolio performance in retirement savings accounts," Australian Journal of Management, Australian School of Business, vol. 40(4), pages 652-671, November.
    15. Hoffmann, Arvid O.I. & Shefrin, Hersh, 2014. "Technical analysis and individual investors," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 487-511.
    16. Hong, Claire Yurong & Lu, Xiaomeng & Pan, Jun, 2021. "FinTech adoption and household risk-taking," BOFIT Discussion Papers 14/2021, Bank of Finland Institute for Emerging Economies (BOFIT).
    17. Kazi Iqbal & Asad Islam & John List & Vy Nguyen, 2021. "Myopic Loss Aversion and Investment Decisions: From the Laboratory to the Field," Framed Field Experiments 000730, The Field Experiments Website.
    18. Lovric, M. & Kaymak, U. & Spronk, J., 2008. "A Conceptual Model of Investor Behavior," ERIM Report Series Research in Management ERS-2008-030-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    19. Iñaki Aldasoro & Sebastian Doerr & Haonan Zhou, 2023. "Non-bank lending during crises," BIS Working Papers 1074, Bank for International Settlements.
    20. DeFusco, Anthony A. & Tang, Huan & Yannelis, Constantine, 2022. "Measuring the welfare cost of asymmetric information in consumer credit markets," Journal of Financial Economics, Elsevier, vol. 146(3), pages 821-840.

    More about this item

    Keywords

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:safewp:303. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/csafede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.