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A test of the Modigliani-Miller theorem, dividend policy and algorithmic arbitrage in experimental asset markets

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  • Neugebauer, Tibor
  • Shachat, Jason
  • Szymczak, Wiebke

Abstract

Modigliani and Miller showed the market value of the company is independent of its capital structure, and suggested that dividend policy makes no difference to this law of one price. We experimentally test the Modigliani-Miller theorem in a complete market with two simultaneously traded assets, employing two experimental treatment variations. The first variation involves the dividend stream. According to this variation the dividend payment order is either identical or independent. The second variation involves the market participation, or not, of an algorithmic arbitrageur. We find that Modigliani-Miller’s law of one price can be supported on average with or without an arbitrageur when dividends are identical. The law of one price breaks down when dividend payment order is independent unless there is arbitrageur participation.

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  • Neugebauer, Tibor & Shachat, Jason & Szymczak, Wiebke, 2023. "A test of the Modigliani-Miller theorem, dividend policy and algorithmic arbitrage in experimental asset markets," Journal of Banking & Finance, Elsevier, vol. 154(C).
  • Handle: RePEc:eee:jbfina:v:154:y:2023:i:c:s0378426623000390
    DOI: 10.1016/j.jbankfin.2023.106814
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    1. Peter Bossaerts & Charles Plott, 2004. "Basic Principles of Asset Pricing Theory: Evidence from Large-Scale Experimental Financial Markets," Review of Finance, European Finance Association, vol. 8(2), pages 135-169.
    2. Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    3. Lugovskyy, Volodymyr & Puzzello, Daniela & Tucker, Steven & Williams, Arlington, 2014. "Asset-holdings caps and bubbles in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 781-797.
    4. Gary Charness & Tibor Neugebauer, 2019. "A Test of the Modigliani‐Miller Invariance Theorem and Arbitrage in Experimental Asset Markets," Journal of Finance, American Finance Association, vol. 74(1), pages 493-529, February.
    5. M. Levati & Jianying Qiu & Prashanth Mahagaonkar, 2012. "Testing the Modigliani-Miller theorem directly in the lab," Experimental Economics, Springer;Economic Science Association, vol. 15(4), pages 693-716, December.
    6. Giuseppe Attanasi & Kene Boun My & Andrea Guido & Mathieu Lefebvre, 2021. "Controlling monopoly power in a double‐auction market experiment," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 23(5), pages 1074-1101, October.
    7. Attanasi, Giuseppe & Centorrino, Samuele & Moscati, Ivan, 2016. "Over-the-counter markets vs. double auctions: A comparative experimental study," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 22-35.
    8. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2023. "Arbitrage bots in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 262-278.
    9. 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.
    10. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    11. Klaus Abbink & Bettina Rockenbach, 2006. "Option pricing by students and professional traders: a behavioural investigation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 497-510.
    12. Te Bao & Elizaveta Nekrasova & Tibor Neugebauer & Yohanes E. Riyanto, 2022. "Algorithmic trading in experimental markets with human traders: A literature survey," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 23, pages 302-322, Edward Elgar Publishing.
    13. Giuseppe Attanasi & Samuele Centorrino & Elena Manzoni, 2021. "Zero‐intelligence versus human agents: An experimental analysis of the efficiency of Double Auctions and Over‐the‐Counter markets of varying sizes," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 23(5), pages 895-932, October.
    14. Farjam, Mike & Kirchkamp, Oliver, 2018. "Bubbles in hybrid markets: How expectations about algorithmic trading affect human trading," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 248-269.
    15. Bossaerts, Peter & Plott, Charles, 2002. "The CAPM in thin experimental financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 26(7-8), pages 1093-1112, July.
    16. O'Brien, John & Srivastava, Sanjay, 1991. "Dynamic Stock Markets with Multiple Assets: An Experimental Analysis," Journal of Finance, American Finance Association, vol. 46(5), pages 1811-1838, December.
    17. 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.
    18. Peter, Bossaerts & Jason, Shachat & Kuangli, Xie, 2018. "Arbitrage Opportunities: Anatomy and Remediation," MPRA Paper 87273, University Library of Munich, Germany.
    19. Angerer, Martin & Szymczak, Wiebke, 2019. "The impact of endogenous and exogenous cash inflows in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 216-238.
    20. DeAngelo, Harry & DeAngelo, Linda, 2006. "The irrelevance of the MM dividend irrelevance theorem," Journal of Financial Economics, Elsevier, vol. 79(2), pages 293-315, February.
    21. Baghestanian, S. & Lugovskyy, V. & Puzzello, D., 2015. "Traders’ heterogeneity and bubble-crash patterns in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 82-101.
    22. Sean Crockett & John Duffy & Yehuda Izhakian, 2019. "An Experimental Test of the Lucas Asset Pricing Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(2), pages 627-667.
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    Cited by:

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    More about this item

    Keywords

    Modigliani-Miller; Arbitrage; Dividends; Experiment; Asset market;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G35 - Financial Economics - - Corporate Finance and Governance - - - Payout Policy

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