IDEAS home Printed from https://ideas.repec.org/a/wly/soecon/v88y2022i3p1119-1148.html
   My bibliography  Save this article

An experimental examination of the flow of irrelevant information across markets

Author

Listed:
  • Lucy F. Ackert
  • Brian D. Kluger
  • Li Qi
  • Lijia Wei

Abstract

Our study uses an experimental method to provide insight into the flow of information across two asset markets that are fully segmented. In our asset markets, two separate sets of participants trade an identical asset in different markets. We then introduce a shock to fundamentals in one market to examine the response of traders in the second market. Because there is no fundamental shock in the second market, we can separate information‐based reactions from responses due to changes in underlying fundamental values. With the separation across markets, we observe whether information relating to a fundamental shock that only affects the shocked market is transmitted to the non‐shocked market. Our evidence suggests that traders in one market are observing behavior in the other contemporaneous market. After an information shock, price efficiency declines but improves by the end of trading.

Suggested Citation

  • 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.
    • Handle: RePEc:wly:soecon:v:88:y:2022:i:3:p:1119-1148
    DOI: 10.1002/soej.12551
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/soej.12551
    Download Restriction: no
    File URL: https://libkey.io/10.1002/soej.12551?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
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Kryvtsov, Oleksiy & Petersen, Luba, 2021. "Central bank communication that works: Lessons from lab experiments," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 760-780.
    3. Kiss, Hubert Janos & Rodriguez-Lara, Ismael & Rosa-García, Alfonso, 2014. "Do social networks prevent or promote bank runs?," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 87-99.
    4. 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.
    5. Giusti, Giovanni & Jiang, Janet Hua & Xu, Yiping, 2016. "Interest on cash, fundamental value process and bubble formation: An experimental study," Journal of Behavioral and Experimental Finance, Elsevier, vol. 11(C), pages 44-51.
    6. 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.
    7. Li Qi & Jack Ochs, 2009. "Information Use and Transference among Legally Separated Share Markets— An Experimental Approach," Southern Economic Journal, John Wiley & Sons, vol. 76(1), pages 99-129, July.
    8. Charles Noussair & Yilong Xu, 2015. "Information mirages and financial contagion in an asset market experiment," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 42(6), pages 1029-1055, November.
    9. Ackert, Lucy F. & Church, Bryan K. & Zhang, Ping, 2002. "Market behavior in the presence of divergent and imperfect private information: experimental evidence from Canada, China, and the United States," Journal of Economic Behavior & Organization, Elsevier, vol. 47(4), pages 435-450, April.
    10. Isabel Trevino, 2020. "Informational Channels of Financial Contagion," Econometrica, Econometric Society, vol. 88(1), pages 297-335, January.
    11. Copeland, Thomas E & Friedman, Daniel, 1987. "The Effect of Sequential Information Arrival on Asset Prices: An Experimental Study," Journal of Finance, American Finance Association, vol. 42(3), pages 763-797, July.
    12. John Duffy & Aikaterini Karadimitropoulou & Melanie Parravano, 2019. "Financial Contagion in the Laboratory: Does Network Structure Matter?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1097-1136, August.
    13. 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.
    14. Chelley-Steeley, Patricia & Kluger, Brian & Steeley, James & Adams, Paul, 2015. "Trading Patterns and Market Integration in Overlapping Experimental Asset Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(6), pages 1473-1499, December.
    15. Chakravarty, Sugato & Sarkar, Asani & Wu, Lifan, 1998. "Information asymmetry, market segmentation and the pricing of cross-listed shares: theory and evidence from Chinese A and B shares," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(3-4), pages 325-356, December.
    16. 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.
    17. Camerer, Colin & Weigelt, Keith, 1991. "Information Mirages in Experimental Asset Markets," The Journal of Business, University of Chicago Press, vol. 64(4), pages 463-493, October.
    18. Forsythe, Robert & Lundholm, Russell, 1990. "Information Aggregation in an Experimental Market," Econometrica, Econometric Society, vol. 58(2), pages 309-347, March.
    19. Bao, Te & Zong, Jichuan, 2019. "The impact of interest rate policy on individual expectations and asset bubbles in experimental markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    20. Lucy F. Ackert & Stefano Mazzotta & Li Qi, 2011. "An Experimental Investigation of Asset Pricing in Segmented Markets," Southern Economic Journal, John Wiley & Sons, vol. 77(3), pages 585-598, January.
    21. Noussair, Charles N. & Popescu, Andreea Victoria, 2021. "Comovement and return predictability in asset markets: An experiment with two Lucas trees," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 671-687.
    22. Fischbacher, Urs & Hens, Thorsten & Zeisberger, Stefan, 2013. "The impact of monetary policy on stock market bubbles and trading behavior: Evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 37(10), pages 2104-2122.
    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. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
    2. Merl, Robert, 2022. "Literature review of experimental asset markets with insiders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    3. 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.
    4. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    5. Corgnet, Brice & Hernán-González, Roberto & Kujal, Praveen, 2020. "On booms that never bust: Ambiguity in experimental asset markets with bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    6. Jason Shachat & Anand Srinivasan, 2022. "Informational Price Cascades and Non-Aggregation of Asymmetric Information in Experimental Asset Markets," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(4), pages 388-407, November.
    7. Lawrence Choo & Todd R. Kaplan & Ro’i Zultan, 2019. "Information aggregation in Arrow–Debreu markets: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 22(3), pages 625-652, September.
    8. Te Bao & Edward Halim & Charles N. Noussair & Yohanes E. Riyanto, 2021. "Managerial incentives and stock price dynamics: an experimental approach," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 617-648, June.
    9. Corgnet, Brice & DeSantis, Mark & Porter, David, 2021. "Information aggregation and the cognitive make-up of market participants," European Economic Review, Elsevier, vol. 133(C).
    10. 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.
    11. 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.
    12. Eric M. Aldrich & Kristian López Vargas, 2020. "Experiments in high-frequency trading: comparing two market institutions," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 322-352, June.
    13. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134, Cowles Foundation for Research in Economics, Yale University.
    14. Charles N. Noussair & Steven Tucker, 2013. "Experimental Research On Asset Pricing," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 554-569, July.
    15. Charles R. Plott, 2000. "Markets as Information Gathering Tools," Southern Economic Journal, John Wiley & Sons, vol. 67(1), pages 1-15, July.
    16. Johan Almenberg & Ken Kittlitz & Thomas Pfeiffer, 2009. "An Experiment on Prediction Markets in Science," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-7, December.
    17. Lionel Page & Christoph Siemroth, 2021. "How Much Information Is Incorporated into Financial Asset Prices? Experimental Evidence," Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4412-4449.
    18. Corgnet, Brice & DeSantis, Mark & Porter, David, 2020. "The distribution of information and the price efficiency of markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    19. Salandro, Daniel & Peterson, Steven, 1996. "An examination of the issue of form versus substance in an experimental asset market: A pilot study," International Review of Financial Analysis, Elsevier, vol. 5(1), pages 1-18.
    20. Brice Corgnet & Cary Deck & Mark DeSantis & Kyle Hampton & Erik O. Kimbrough, 2023. "When Do Security Markets Aggregate Dispersed Information?," Management Science, INFORMS, vol. 69(6), pages 3697-3729, June.

    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:wly:soecon:v:88:y:2022:i:3:p:1119-1148. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)2325-8012 .

    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.