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The impact of ETFs in secondary asset markets: Experimental evidence

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  • Duffy, John
  • Rabanal, Jean Paul
  • Rud, Olga A.

Abstract

We examine how exchange traded funds (ETFs) affect asset pricing, and turnover in a laboratory asset market. We focus on behavior in secondary markets with or without ETF assets and whether there is zero or negative correlation in asset dividends. In the latter case, the diversification benefits of ETFs are most salient. We find that when the dividends are negatively correlated, ETFs reduce asset mispricing without decreasing market activity (turnover). When dividends are uncorrelated, the ETF has no impact on these same measures. Thus, our findings suggest that ETFs do not harm, and may in fact improve, price discovery and liquidity in asset markets.

Suggested Citation

  • Duffy, John & Rabanal, Jean Paul & Rud, Olga A., 2021. "The impact of ETFs in secondary asset markets: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 674-696.
  • Handle: RePEc:eee:jeborg:v:188:y:2021:i:c:p:674-696
    DOI: 10.1016/j.jebo.2021.06.003
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    as
    1. Eizo Akiyama & Nobuyuki Hanaki & Ryuichiro Ishikawa, 2017. "It is Not Just Confusion! Strategic Uncertainty in An Experimental Asset Market," Economic Journal, Royal Economic Society, vol. 127(605), pages 563-580, October.
    2. 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.
    3. Carlé, Tim A. & Lahav, Yaron & Neugebauer, Tibor & Noussair, Charles N., 2019. "Heterogeneity of Beliefs and Trade in Experimental Asset Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(1), pages 215-245, February.
    4. Hanaki, Nobuyuki & Akiyama, Eizo & Ishikawa, Ryuichiro, 2018. "Effects of different ways of incentivizing price forecasts on market dynamics and individual decisions in asset market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 51-69.
    5. 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.
    6. Akiyama, Eizo & Hanaki, Nobuyuki & Ishikawa, Ryuichiro, 2014. "How do experienced traders respond to inflows of inexperienced traders? An experimental analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 1-18.
    7. James J. Choi & David Laibson & Brigitte C. Madrian, 2010. "Why Does the Law of One Price Fail? An Experiment on Index Mutual Funds," Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1405-1432, April.
    8. Eduardo Levy-Yeyati & Nathan Converse & Tomas Williams, 2017. "How ETFs Amplify the Global Financial Cycle in Emerging Markets," School of Government Working Papers 201702, Universidad Torcuato Di Tella.
    9. 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.
    10. Christian Ehm & Christine Kaufmann & Martin Weber, 2014. "Volatility Inadaptability: Investors Care About Risk, but Cannot Cope with Volatility," Review of Finance, European Finance Association, vol. 18(4), pages 1387-1423.
    11. Anufriev, Mikhail & Bao, Te & Tuinstra, Jan, 2016. "Microfoundations for switching behavior in heterogeneous agent models: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 74-99.
    12. Martin Lettau & Ananth Madhavan, 2018. "Exchange-Traded Funds 101 for Economists," Journal of Economic Perspectives, American Economic Association, vol. 32(1), pages 135-154, Winter.
    13. 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.
    14. Timothy N. Cason & Daniel Friedman, 1997. "Price Formation in Single Call Markets," Econometrica, Econometric Society, vol. 65(2), pages 311-346, March.
    15. Itzhak Ben‐David & Francesco Franzoni & Rabih Moussawi, 2018. "Do ETFs Increase Volatility?," Journal of Finance, American Finance Association, vol. 73(6), pages 2471-2535, December.
    16. Lawrence Glosten & Suresh Nallareddy & Yuan Zou, 2021. "ETF Activity and Informational Efficiency of Underlying Securities," Management Science, INFORMS, vol. 67(1), pages 22-47, January.
    17. Smith, Vernon L, et al, 1982. "Competitive Market Institutions: Double Auctions vs. Sealed Bid-Offer Auctions," American Economic Review, American Economic Association, vol. 72(1), pages 58-77, March.
    18. Charles R. Plott & Kirill Pogorelskiy, 2017. "Call Market Experiments: Efficiency and Price Discovery through Multiple Calls and Emergent Newton Adjustments," American Economic Journal: Microeconomics, American Economic Association, vol. 9(4), pages 1-41, November.
    19. Shiyang Huang & Maureen O’Hara & Zhuo Zhong, 2021. "Innovation and Informed Trading: Evidence from Industry ETFs [Short interest, institutional ownership, and stock returns]," The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1280-1316.
    20. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    21. Charles Noussair & Steven Tucker, 2006. "Futures Markets And Bubble Formation In Experimental Asset Markets," Pacific Economic Review, Wiley Blackwell, vol. 11(2), pages 167-184, June.
    22. Anufriev, Mikhail & Bao, Te & Sutan, Angela & Tuinstra, Jan, 2019. "Fee structure and mutual fund choice: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 449-474.
    23. Biais, Bruno & Mariotti, Thomas & Moinas, Sophie & Pouget, Sébastien, 2017. "Asset pricing and risk sharing in a complete market: An experimental investigation," TSE Working Papers 17-798, Toulouse School of Economics (TSE).
    24. Porter, David P & Smith, Vernon L, 1995. "Futures Contracting and Dividend Uncertainty in Experimental Asset Markets," The Journal of Business, University of Chicago Press, vol. 68(4), pages 509-541, October.
    25. Noussair, Charles N. & Tucker, Steven & Xu, Yilong, 2016. "Futures markets, cognitive ability, and mispricing in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 166-179.
    26. Michael Kirchler & Jurgen Huber & Thomas Stockl, 2012. "Thar She Bursts: Reducing Confusion Reduces Bubbles," American Economic Review, American Economic Association, vol. 102(2), pages 865-883, April.
    27. Justus Heuer & Christoph Merkle & Martin Weber, 2017. "Fooled by Randomness: Investor Perception of Fund Manager Skill," Review of Finance, European Finance Association, vol. 21(2), pages 605-635.
    28. 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.
    29. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    30. Peter Bossaerts & Charles Plott & William R. Zame, 2007. "Prices and Portfolio Choices in Financial Markets: Theory, Econometrics, Experiments," Econometrica, Econometric Society, vol. 75(4), pages 993-1038, July.
    31. Bhojraj, Sanjeev & Mohanram, Partha & Zhang, Suning, 2020. "ETFs and information transfer across firms," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    32. Ivanov, Stoyu I. & Jones, Frank J. & Zaima, Janis K., 2013. "Analysis of DJIA, S&P 500, S&P 400, NASDAQ 100 and Russell 2000 ETFs and their influence on price discovery," Global Finance Journal, Elsevier, vol. 24(3), pages 171-187.
    33. Baltussen, Guido & van Bekkum, Sjoerd & Da, Zhi, 2019. "Indexing and stock market serial dependence around the world," Journal of Financial Economics, Elsevier, vol. 132(1), pages 26-48.
    34. 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.
    35. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    36. Joel Hasbrouck, 2003. "Intraday Price Formation in U.S. Equity Index Markets," Journal of Finance, American Finance Association, vol. 58(6), pages 2375-2400, December.
    37. Breaban, Adriana & Noussair, Charles N., 2015. "Trader characteristics and fundamental value trajectories in an asset market experiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 8(C), pages 1-17.
    38. Charles Noussair & Stephane Robin & Bernard Ruffieux, 2001. "Price Bubbles in Laboratory Asset Markets with Constant Fundamental Values," Experimental Economics, Springer;Economic Science Association, vol. 4(1), pages 87-105, June.
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    2. Duffy, John & Friedman, Dan & Rabanal, Jean Paul & Rud, Olga, 2022. "The impact of ETF index inclusion on stock prices," UiS Working Papers in Economics and Finance 2022/2, University of Stavanger.
    3. Jieye Qin & Christopher J. Green & Kavita Sirichand, 2023. "Spot–Futures Price Adjustments in the Nikkei 225: Linear or Smooth Transition? Financial Centre Leadership or Home Bias?," JRFM, MDPI, vol. 16(2), pages 1-31, February.
    4. John Duffy & Jean Paul Rabanal & Olga A. Rud, 2022. "Market experiments with multiple assets: A survey," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 18, pages 213-224, Edward Elgar Publishing.
    5. Lucy F. Ackert & Brian D. Kluger & Li Qi & Lijia Wei, 2022. "An experimental examination of the flow of irrelevant information across markets," Southern Economic Journal, John Wiley & Sons, vol. 88(3), pages 1119-1148, January.
    6. Duffy, John & Rabanal, Jean Paul & Rud, Olga A., 2023. "Market reactions to stock splits: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 325-345.

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    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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