IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04122561.html
   My bibliography  Save this paper

Insider trading regulation and trader migration

Author

Listed:
  • Robert Merl
  • Stefan Palan
  • Dominik Schmidt

    (UP1 - Université Paris 1 Panthéon-Sorbonne)

  • Thomas Stöckl

Abstract

Discussions about insider trading regulation veer between the poles of forbidding insider trading to protect market integrity and allowing insider trading to foster informational efficiency. We study traders' preferences for regulation by offering them concurrent markets with different regulatory regimes in an experimental setting. We find that informed traders' preference for the unregulated market causes both informed and uninformed traders to be more active in the unregulated market. This market, thus, sees more trading volume, lower spreads, and less mispricing. Nevertheless, uninformed traders suffer greater losses in unregulated markets, while informed traders profit from the absence of regulation.

Suggested Citation

  • Robert Merl & Stefan Palan & Dominik Schmidt & Thomas Stöckl, 2023. "Insider trading regulation and trader migration," Post-Print hal-04122561, HAL.
    • Handle: RePEc:hal:journl:hal-04122561
    DOI: 10.1016/j.finmar.2023.100839
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lucy F. Ackert & Narat Charupat & Bryan K. Church & Richard Deaves, 2006. "Margin, Short Selling, And Lotteries In Experimental Asset Markets," Southern Economic Journal, John Wiley & Sons, vol. 73(2), pages 419-436, October.
    2. Schnitzlein, Charles R, 1996. "Call and Continuous Trading Mechanisms under Asymmetric Information: An Experimental Investigation," Journal of Finance, American Finance Association, vol. 51(2), pages 613-636, June.
    3. Leifeld, Philip, 2013. "texreg: Conversion of Statistical Model Output in R to LATEX and HTML Tables," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i08).
    4. Cornell, Bradford & Sirri, Erik R, 1992. "The Reaction of Investors and Stock Prices to Insider Trading," Journal of Finance, American Finance Association, vol. 47(3), pages 1031-1059, July.
    5. Martin Barner & Francesco Feri & Charles R. Plott, 2005. "On the microstructure of price determination and information aggregation with sequential and asymmetric information arrival in an experimental asset market," Annals of Finance, Springer, vol. 1(1), pages 73-107, January.
    6. Zeileis, Achim & Kleiber, Christian & Jackman, Simon, 2008. "Regression Models for Count Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i08).
    7. Hanke, Michael & Huber, Jürgen & Kirchler, Michael & Sutter, Matthias, 2010. "The economic consequences of a Tobin tax--An experimental analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 74(1-2), pages 58-71, May.
    8. Milgrom, Paul & Stokey, Nancy, 1982. "Information, trade and common knowledge," Journal of Economic Theory, Elsevier, vol. 26(1), pages 17-27, February.
    9. David Bodoff & Hugo Levecq & Hongtao Zhang, 2006. "EDGAR on the internet: The welfare effects of wider information distribution in an experimental market for risky assets," Experimental Economics, Springer;Economic Science Association, vol. 9(4), pages 361-381, December.
    10. Chen, Hsuan-Chi & Hao, (Grace) Qing, 2011. "Insider trading law enforcement and gross spreads of ADR IPOs," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1907-1917, August.
    11. Powell, Owen, 2016. "Numeraire independence and the measurement of mispricing in experimental asset markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 56-62.
    12. Alessandro Beber & Marco Pagano, 2013. "Short-Selling Bans Around the World: Evidence from the 2007–09 Crisis," Journal of Finance, American Finance Association, vol. 68(1), pages 343-381, February.
    13. Bhattacharya, Utpal & Spiegel, Matthew, 1991. "Insiders, Outsiders, and Market Breakdowns," The Review of Financial Studies, Society for Financial Studies, vol. 4(2), pages 255-282.
    14. Julan Du & Shang-Jin Wei, 2004. "Does Insider Trading Raise Market Volatility?," Economic Journal, Royal Economic Society, vol. 114(498), pages 916-942, October.
    15. Plott, Charles R & Sunder, Shyam, 1982. "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 663-698, August.
    16. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    17. Kirchler, Michael, 2009. "Underreaction to fundamental information and asymmetry in mispricing between bullish and bearish markets. An experimental study," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 491-506, February.
    18. Tirole, Jean, 1982. "On the Possibility of Speculation under Rational Expectations," Econometrica, Econometric Society, vol. 50(5), pages 1163-1181, September.
    19. Charles N. Noussair & Steven Tucker, 2016. "Cash Inflows And Bubbles In Asset Markets With Constant Fundamental Values," Economic Inquiry, Western Economic Association International, vol. 54(3), pages 1596-1606, July.
    20. Peter Cziraki & Jasmin Gider, 2021. "The Dollar Profits to Insider Trading [Information networks: evidence from illegal insider trading tips]," Review of Finance, European Finance Association, vol. 25(5), pages 1547-1580.
    21. Douglas Stevens & Arlington Williams, 2004. "Inefficiency in Earnings Forecasts: Experimental Evidence of Reactions to Positive vs. Negative Information," Experimental Economics, Springer;Economic Science Association, vol. 7(1), pages 75-92, February.
    22. Thomas R. Palfrey & Stephanie W. Wang, 2012. "Speculative Overpricing in Asset Markets With Information Flows," Econometrica, Econometric Society, vol. 80(5), pages 1937-1976, September.
    23. Jürgen Huber & Martin Angerer & Michael Kirchler, 2011. "Experimental asset markets with endogenous choice of costly asymmetric information," Experimental Economics, Springer;Economic Science Association, vol. 14(2), pages 223-240, May.
    24. Morris, Stephen, 1994. "Trade with Heterogeneous Prior Beliefs and Asymmetric Information," Econometrica, Econometric Society, vol. 62(6), pages 1327-1347, November.
    25. Friedman, Daniel & Harrison, Glenn W & Salmon, Jon W, 1984. "The Informational Efficiency of Experimental Asset Markets," Journal of Political Economy, University of Chicago Press, vol. 92(3), pages 349-408, June.
    26. Leland, Hayne E, 1992. "Insider Trading: Should It Be Prohibited?," Journal of Political Economy, University of Chicago Press, vol. 100(4), pages 859-887, August.
    27. Kleinlercher, Daniel & Stöckl, Thomas, 2021. "Thou shalt not trade—An analysis of the violations of no-trade predictions in experimental asset markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    28. Kirchkamp, Oliver, 2019. "Importing z-Tree data into R," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 1-2.
    29. Charles R. Schnitzlein, 2002. "Price Formation and Market Quality When the Number and Presence of Insiders Is Unknown," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1077-1109.
    30. Ann B. Gillette & Douglas E. Stevens & Susan G. Watts & Arlington W. Williams, 1999. "Price and Volume Reactions to Public Information Releases: An Experimental Approach Incorporating Traders' Subjective Beliefs," Contemporary Accounting Research, John Wiley & Sons, vol. 16(3), pages 437-479, September.
    31. Trautmann, Stefan T., 2009. "A tractable model of process fairness under risk," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 803-813, October.
    32. Nasser Arshadi, 1998. "Insider Trading Liability and Enforcement Strategy," Financial Management, Financial Management Association, vol. 27(2), Summer.
    33. Stefan Palan, 2013. "A Review Of Bubbles And Crashes In Experimental Asset Markets," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 570-588, July.
    34. Bach, David & Newman, Abraham L., 2010. "Transgovernmental Networks and Domestic Policy Convergence: Evidence from Insider Trading Regulation," International Organization, Cambridge University Press, vol. 64(3), pages 505-528, July.
    35. Utpal Bhattacharya & Hazem Daouk, 2002. "The World Price of Insider Trading," Journal of Finance, American Finance Association, vol. 57(1), pages 75-108, February.
    36. Stöckl, Thomas & Kirchler, Michael, 2014. "Trading behavior and profits in experimental asset markets with asymmetric information," Journal of Behavioral and Experimental Finance, Elsevier, vol. 2(C), pages 18-30.
    37. Lucy F. Ackert & Narat Charupat & Bryan K. Church & Richard Deaves, 2006. "Margin, Short Selling, and Lotteries in Experimental Asset Markets," Southern Economic Journal, John Wiley & Sons, vol. 73(2), pages 419-436, October.
    38. Douglas Cumming & Wenxuan Hou & Eliza Wu, 2018. "Exchange trading rules, governance, and trading location of cross-listed stocks," The European Journal of Finance, Taylor & Francis Journals, vol. 24(16), pages 1453-1484, November.
    39. David Easley & Maureen O'Hara, 2009. "Ambiguity and Nonparticipation: The Role of Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1817-1843, May.
    40. Stefan T. Trautmann & Gijs Kuilen, 2016. "Process fairness, outcome fairness, and dynamic consistency: Experimental evidence for risk and ambiguity," Journal of Risk and Uncertainty, Springer, vol. 53(2), pages 75-88, December.
    41. Philipp Hornung & Ulrike Leopold-Wildburger & Roland Mestel & Stefan Palan, 2015. "Insider behavior under different market structures: experimental evidence on trading patterns, manipulation, and profitability," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 357-373, June.
    42. Huddart, Steven & Hughes, John S & Levine, Carolyn B, 2001. "Public Disclosure and Dissimulation of Insider Trades," Econometrica, Econometric Society, vol. 69(3), pages 665-681, May.
    43. Smith, Vernon L, 1982. "Markets as Economizers of Information: Experimental Examination of the "Hayek Hypothesis"," Economic Inquiry, Western Economic Association International, vol. 20(2), pages 165-179, April.
    44. Bart Frijns & Aaron Gilbert & Alireza Tourani‐Rad, 2008. "Insider Trading, Regulation, And The Components Of The Bid–Ask Spread," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 31(3), pages 225-246, September.
    45. Ernan Haruvy & Charles N. Noussair, 2006. "The Effect of Short Selling on Bubbles and Crashes in Experimental Spot Asset Markets," Journal of Finance, American Finance Association, vol. 61(3), pages 1119-1157, June.
    46. Daniel Zizzo, 2010. "Experimenter demand effects in economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 13(1), pages 75-98, March.
    47. Lin, Shengle & Rassenti, Stephen, 2012. "Are under- and over-reaction the same matter? Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 39-61.
    48. Robert Bloomfield & Maureen O'Hara & Gideon Saar, 2009. "How Noise Trading Affects Markets: An Experimental Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2275-2302, June.
    49. Thomas Stöckl & Jürgen Huber & Michael Kirchler, 2010. "Bubble measures in experimental asset markets," Experimental Economics, Springer;Economic Science Association, vol. 13(3), pages 284-298, September.
    50. Daniel Kleinlercher & Thomas Stöckl, 2018. "On the provision of incentives in finance experiments," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 154-179, March.
    51. Stephanie Wang, 2012. "Speculative Overpricing in Asset Markets with Information Flows," Working Paper 489, Department of Economics, University of Pittsburgh, revised Jan 2012.
    52. Greiner, Ben, 2004. "An Online Recruitment System for Economic Experiments," MPRA Paper 13513, University Library of Munich, Germany.
    53. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    54. Palan, Stefan & Stöckl, Thomas, 2017. "When chasing the offender hurts the victim: The case of insider legislation," Journal of Financial Markets, Elsevier, vol. 35(C), pages 104-129.
    55. Michael J. Fishman & Kathleen M. Hagerty, 1992. "Insider Trading and the Efficiency of Stock Prices," RAND Journal of Economics, The RAND Corporation, vol. 23(1), pages 106-122, Spring.
    56. Cumming, Douglas & Johan, Sofia & Li, Dan, 2011. "Exchange trading rules and stock market liquidity," Journal of Financial Economics, Elsevier, vol. 99(3), pages 651-671, March.
    57. Biais, Bruno & Hillion, Pierre, 1994. "Insider and Liquidity Trading in Stock and Options Markets," The Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 743-780.
    58. Cheng, Louis & Firth, Michael & Leung, T.Y. & Rui, Oliver, 2006. "The effects of insider trading on liquidity," Pacific-Basin Finance Journal, Elsevier, vol. 14(5), pages 467-483, November.
    Full references (including those not matched with items on IDEAS)

    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. Palan, Stefan & Stöckl, Thomas, 2017. "When chasing the offender hurts the victim: The case of insider legislation," Journal of Financial Markets, Elsevier, vol. 35(C), pages 104-129.
    2. Merl, Robert & Stöckl, Thomas & Palan, Stefan, 2023. "Insider trading regulation and shorting constraints. Evaluating the joint effects of two market interventions," Journal of Banking & Finance, Elsevier, vol. 154(C).
    3. Stefan Palan & Thomas Stöckl, 2014. "When chasing the offender hurts the victim: Collateral damage from insider legislation," Working Paper Series, Social and Economic Sciences 2014-03, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    4. Merl, Robert, 2022. "Literature review of experimental asset markets with insiders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    5. Robert Merl, 2021. "Literature Review of Experimental Asset Markets with Insiders," Working Paper Series, Social and Economic Sciences 2021-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    6. Bousselmi, Wael & Sentis, Patrick & Willinger, Marc, 2019. "How do markets react to (un)expected fundamental value shocks? An experimental analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 90-113.
    7. Stöckl, Thomas & Palan, Stefan, 2018. "Catch me if you can. Can human observers identify insiders in asset markets?," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 1-17.
    8. Kleinlercher, Daniel & Stöckl, Thomas, 2021. "Thou shalt not trade—An analysis of the violations of no-trade predictions in experimental asset markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    9. Thomas Stöckl & Jürgen Huber & Michael Kirchler, 2015. "Multi-period experimental asset markets with distinct fundamental value regimes," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 314-334, June.
    10. Thomas Stöckl, 2014. "Price efficiency and trading behavior in limit order markets with competing insiders," Experimental Economics, Springer;Economic Science Association, vol. 17(2), pages 314-334, June.
    11. Owen Powell & Natalia Shestakova, 2017. "Experimental asset markets: behavior and bubbles," Chapters, in: Morris Altman (ed.), Handbook of Behavioural Economics and Smart Decision-Making, chapter 21, pages 375-391, Edward Elgar Publishing.
    12. Utz Weitzel & Christoph Huber & Jürgen Huber & Michael Kirchler & Florian Lindner & Julia Rose & Lauren Cohen, 2020. "Bubbles and Financial Professionals," The Review of Financial Studies, Society for Financial Studies, vol. 33(6), pages 2659-2696.
    13. Oechssler, Jörg & Schmidt, Carsten & Schnedler, Wendelin, 2011. "On the ingredients for bubble formation: Informed traders and communication," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1831-1851.
    14. Josef Fink & Stefan Palan & Erik Theissen, 2021. "Trading Frictions and the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2021-01, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    15. Marquardt, Philipp & Noussair, Charles N & Weber, Martin, 2019. "Rational expectations in an experimental asset market with shocks to market trends," European Economic Review, Elsevier, vol. 114(C), pages 116-140.
    16. Duchêne, Sébastien & Guerci, Eric & Hanaki, Nobuyuki & Noussair, Charles N., 2019. "The effect of short selling and borrowing on market prices and traders’ behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    17. Hirota, Shinichi & Huber, Juergen & Stöckl, Thomas & Sunder, Shyam, 2022. "Speculation, money supply and price indeterminacy in financial markets: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1275-1296.
    18. Millicent Chang & Xiaolin Qian & Jing Yu & Yvonne See, 2017. "Does director trading change the information environment?," Australian Journal of Management, Australian School of Business, vol. 42(2), pages 205-229, May.
    19. Thomas Stöckl, 2013. "Price efficiency and trading behavior in limit order markets with competing insiders," Working Papers 2013-11, Faculty of Economics and Statistics, Universität Innsbruck.
    20. Christoph Huber & Parampreet C. Bindra & Daniel Kleinlercher, 2019. "Design-features of bubble-prone experimental asset markets with a constant FV," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(2), pages 197-209, December.

    More about this item

    Keywords

    Experimental finance; Asset market; Insider trading regulation; Market share; Trader migration;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G40 - Financial Economics - - Behavioral Finance - - - General

    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:hal:journl:hal-04122561. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.