IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v48y2022ics1544612322001854.html
   My bibliography  Save this article

Do computerized traders follow social norms? Evidence from the holocaust remembrance moment of silence

Author

Listed:
  • (Meni) Abudy, Menachem
  • Gildin, Ilan
  • Mugerman, Yevgeny

Abstract

This paper employs a unique social setting, in which human activity halts during a siren alarm for two minutes to commemorate the Israeli Holocaust Remembrance Day. When the siren sounds, the social norm is to cease all activity and stand still for two minutes. The memorial siren occurs during the trading hours of the stock market, which remains open during the two-minute period. This creates a quasi-natural experiment to examine how computerized traders react when most human activity has ceased. As expected, we document a significant decline in human trading activity during the siren. Remarkably, however, computerized traders decrease their trading activity as well. Moreover, their share as takers does not significantly increase. Our findings suggest that computers alter their trading patterns in sync with humans who are affected by various norms; hence, bias-free computerized trading should not be taken for granted.

Suggested Citation

  • (Meni) Abudy, Menachem & Gildin, Ilan & Mugerman, Yevgeny, 2022. "Do computerized traders follow social norms? Evidence from the holocaust remembrance moment of silence," Finance Research Letters, Elsevier, vol. 48(C).
    • Handle: RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322001854
    DOI: 10.1016/j.frl.2022.102914
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612322001854
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2022.102914?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ekinci, Cumhur & Ersan, Oğuz, 2022. "High-frequency trading and market quality: The case of a “slightly exposed” market," International Review of Financial Analysis, Elsevier, vol. 79(C).
    2. Francesco D’Acunto & Nagpurnanand Prabhala & Alberto G Rossi, 2019. "The Promises and Pitfalls of Robo-Advising," Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1983-2020.
    3. Hamdani, Assaf & Kandel, Eugene & Mugerman, Yevgeny & Yafeh, Yishay, 2017. "Incentive Fees and Competition in Pension Funds: Evidence from a Regulatory Experiment," Journal of Law, Finance, and Accounting, now publishers, vol. 2(1), pages 49-86, June.
    4. Mark Grinblatt & Matti Keloharju, 2001. "What Makes Investors Trade?," Journal of Finance, American Finance Association, vol. 56(2), pages 589-616, April.
    5. Abudy, Menachem (Meni) & Mugerman, Yevgeny & Shust, Efrat, 2022. "The Winner Takes It All: Investor Sentiment and the Eurovision Song Contest," Journal of Banking & Finance, Elsevier, vol. 137(C).
    6. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
    7. Abudy, Menachem Meni, 2020. "Retail investors’ trading and stock market liquidity," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    8. Abudy, Menachem (Meni) & Mugerman, Yevgeny & Wiener, Zvi, 2021. "Stock markets and female participation in the labor force," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    9. Mark Grinblatt & Matti Keloharju, 2000. "What Makes Investors Trade?," Yale School of Management Working Papers ysm146, Yale School of Management, revised 01 Nov 2001.
    10. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    11. Qin Wang & Jun Zhang, 2015. "Individual investor trading and stock liquidity," Review of Quantitative Finance and Accounting, Springer, vol. 45(3), pages 485-508, October.
    12. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    13. Yamada, Masahiro, 2022. "Profitability and liquidity provision of HFTs during large price shocks: Does relative tick size matter?," Finance Research Letters, Elsevier, vol. 46(PA).
    14. Mugerman, Yevgeny & Yidov, Orr & Wiener, Zvi, 2020. "By the light of day: The effect of the switch to winter time on stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    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. Gavious, Ilanit & Jacoby, Tomer & Milo, Orit, 2023. "Economic consequences of building a cross-country barrier among alternative policies to deal with unauthorized immigration," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).

    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. Chae, Joon & Yang, Cheol-Won, 2013. "Commonality in individuals' trading: A systematic path between behavioral bias and expected returns," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1008-1023.
    2. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 32(1), pages 1-36, June.
    3. Hackethal, Andreas & Haliassos, Michael & Jappelli, Tullio, 2012. "Financial advisors: A case of babysitters?," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 509-524.
    4. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
    5. Weber, Martin & Welfens, Frank, 2007. "The Repurchase Behavior of Individual Investors: An Experimental Investigation," Sonderforschungsbereich 504 Publications 07-44, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    6. Ben-David, Itzhak & Hirshleifer, David, 2011. "Beyond the Disposition Effect: Do Investors Really Like Gains More Than Losses?," Working Paper Series 2011-13, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    7. Karolis Liaudinskas, 2022. "Human vs. Machine: Disposition Effect among Algorithmic and Human Day Traders," Working Paper 2022/6, Norges Bank.
    8. Justin Birru & Fernando Chague, Rodrigo De-Losso, Bruno Giovannetti, 2019. "Attention and Biases: Evidence from Tax-Inattentive Investors," Working Papers, Department of Economics 2019_48, University of São Paulo (FEA-USP).
    9. Liu, Xufeng & Wan, Die, 2022. "Asymmetric positive feedback trading and stock pricing in China," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    10. Ng, Lilian & Wu, Fei, 2006. "Revealed stock preferences of individual investors: Evidence from Chinese equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 14(2), pages 175-192, April.
    11. Rieger, Marc O. & Wang, Mei & Phan, Thuy Chung & Gong, Yujing, 2022. "Trend following or reversal: Does culture affect predictions and trading behavior?," Global Finance Journal, Elsevier, vol. 54(C).
    12. Nicolosi, Gina & Peng, Liang & Zhu, Ning, 2009. "Do individual investors learn from their trading experience?," Journal of Financial Markets, Elsevier, vol. 12(2), pages 317-336, May.
    13. Chague, Fernando Daniel & Bueno, Rodrigo de Losso da Silveira & Giovannetti, Bruno Cara, 2018. "The short-selling skill of institutions and individuals: a market-wide and out-of-sample analysis," Textos para discussão 469, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    14. von Beschwitz, Bastian & Massa, Massimo, 2020. "Biased short: Short sellers' disposition effect and limits to arbitrage," Journal of Financial Markets, Elsevier, vol. 49(C).
    15. Aneta Tomescu & Cezar Laurentiu Tomescu & Rodica Sîrbu, 2020. "Inovative Surgical Treatment for Intratubal Administration of Methotrexate," European Journal of Medicine and Natural Scinces Articles, Revistia Research and Publishing, vol. 3, July -Dec.
    16. 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.
    17. Drobetz, Wolfgang & Kugler, Peter & Wanzenried, Gabrielle & Zimmermann, Heinz, 2009. "Heterogeneity in asset allocation decisions: Empirical evidence from Switzerland," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 84-93, March.
    18. Barberis, Nicholas & Xiong, Wei, 2012. "Realization utility," Journal of Financial Economics, Elsevier, vol. 104(2), pages 251-271.
    19. Amromin, Gene & Huang, Jennifer & Sialm, Clemens, 2007. "The tradeoff between mortgage prepayments and tax-deferred retirement savings," Journal of Public Economics, Elsevier, vol. 91(10), pages 2014-2040, November.
    20. Bae, Kee-Hong & Yamada, Takeshi & Ito, Keiichi, 2008. "Interaction of investor trades and market volatility: Evidence from the Tokyo Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 16(4), pages 370-388, September.

    More about this item

    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:eee:finlet:v:48:y:2022:i:c:s1544612322001854. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.