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Cross−impact and price bubbles in hybrid financial markets

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  • Chapkovski, Philipp
  • Cordoni, Francesco
  • Giannetti, Caterina
  • Lillo, Fabrizio

Abstract

We explore cross-impact in a hybrid experimental market with human and artificial agents, varying liquidity across treatments. In treatment Separated participants hold distinct portfolios for two stocks, while in Integrated they hold a unique portfolio, i.e., can freely move capital between assets. Larger bubbles and asymmetric cross-market impact occur with unique portfolios and decreasing value asset. When comparing experimental and synthetic data, cross-impact is attributed to human players, especially when stock values are close to each other. Artificial players also react to human presence, contributing to cross-impact.

Suggested Citation

  • Chapkovski, Philipp & Cordoni, Francesco & Giannetti, Caterina & Lillo, Fabrizio, 2025. "Cross−impact and price bubbles in hybrid financial markets," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 118(C).
  • Handle: RePEc:eee:soceco:v:118:y:2025:i:c:s2214804325000643
    DOI: 10.1016/j.socec.2025.102398
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    1. Mehdi Tomas & Iacopo Mastromatteo & Michael Benzaquen, 2022. "How to build a cross-impact model from first principles: Theoretical requirements and empirical results," Post-Print hal-02567489, HAL.
    2. Jianjun Miao & Pengfei Wang, 2018. "Asset Bubbles and Credit Constraints," American Economic Review, American Economic Association, vol. 108(9), pages 2590-2628, September.
    3. Dilip Abreu & Markus K. Brunnermeier, 2003. "Bubbles and Crashes," Econometrica, Econometric Society, vol. 71(1), pages 173-204, January.
    4. Albert J. Menkveld & Bart Zhou Yueshen, 2019. "The Flash Crash: A Cautionary Tale About Highly Fragmented Markets," Management Science, INFORMS, vol. 65(10), pages 4470-4488, October.
    5. Olivier Gu'eant & Charles-Albert Lehalle & Joaquin Fernandez Tapia, 2011. "Dealing with the Inventory Risk. A solution to the market making problem," Papers 1105.3115, arXiv.org, revised Aug 2012.
    6. Rama Cont & Arseniy Kukanov & Sasha Stoikov, 2014. "The Price Impact of Order Book Events," Journal of Financial Econometrics, Oxford University Press, vol. 12(1), pages 47-88.
    7. Iacopo Mastromatteo & Michael Benzaquen & Zoltan Eisler & Jean-Philippe Bouchaud, 2017. "Trading Lightly: Cross-Impact and Optimal Portfolio Execution," Papers 1702.03838, arXiv.org, revised Aug 2017.
    8. repec:grz:wpsses:2020-03 is not listed on IDEAS
    9. Mehdi Tomas & Iacopo Mastromatteo & Michael Benzaquen, 2020. "How to build a cross-impact model from first principles: Theoretical requirements and empirical results," Papers 2004.01624, arXiv.org, revised Mar 2022.
    10. Lionel Page & Charles N. Noussair & Robert Slonim, 2021. "The replication crisis, the rise of new research practices and what it means for experimental economics," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 210-225, December.
    11. 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.
    12. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2000. "Commonality in liquidity," Journal of Financial Economics, Elsevier, vol. 56(1), pages 3-28, April.
    13. Gerry Tsoukalas & Jiang Wang & Kay Giesecke, 2019. "Dynamic Portfolio Execution," Management Science, INFORMS, vol. 67(5), pages 2015-2040, May.
    14. Tomohiro Hirano & Noriyuki Yanagawa, 2017. "Asset Bubbles, Endogenous Growth, and Financial Frictions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(1), pages 406-443.
    15. Victor Le Coz & Iacopo Mastromatteo & Damien Challet & Michael Benzaquen, 2024. "When is cross impact relevant?," Quantitative Finance, Taylor & Francis Journals, vol. 24(2), pages 265-279, February.
    16. Seungki Min & Costis Maglaras & Ciamac C. Moallemi, 2018. "Cross-Sectional Variation of Intraday Liquidity, Cross-Impact, and their Effect on Portfolio Execution," Papers 1811.05524, arXiv.org.
    17. Cordoni, Francesco, 2025. "Multi-asset bubbles equilibrium price dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    18. Froot, Kenneth A & Obstfeld, Maurice, 1991. "Intrinsic Bubbles: The Case of Stock Prices," American Economic Review, American Economic Association, vol. 81(5), pages 1189-1214, December.
    19. 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.
    20. Jim Gatheral, 2010. "No-dynamic-arbitrage and market impact," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 749-759.
    21. Tirole, Jean, 1985. "Asset Bubbles and Overlapping Generations," Econometrica, Econometric Society, vol. 53(6), pages 1499-1528, November.
    22. M. Schneider & F. Lillo, 2019. "Cross-impact and no-dynamic-arbitrage," Quantitative Finance, Taylor & Francis Journals, vol. 19(1), pages 137-154, January.
    23. Todd Feldman & Daniel Friedman, 2010. "Human and Artificial Agents in a Crash-Prone Financial Market," Computational Economics, Springer;Society for Computational Economics, vol. 36(3), pages 201-229, October.
    24. Marco Avellaneda & Sasha Stoikov, 2008. "High-frequency trading in a limit order book," Quantitative Finance, Taylor & Francis Journals, vol. 8(3), pages 217-224.
    25. 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.
    26. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    27. Blanchard, Olivier Jean, 1979. "Speculative bubbles, crashes and rational expectations," Economics Letters, Elsevier, vol. 3(4), pages 387-389.
    28. Mehdi Tomas & Iacopo Mastromatteo & Michael Benzaquen, 2022. "How to build a cross-impact model from first principles: theoretical requirements and empirical results," Quantitative Finance, Taylor & Francis Journals, vol. 22(6), pages 1017-1036, June.
    29. John Duffy & M. Ünver, 2006. "Asset price bubbles and crashes with near-zero-intelligence traders," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 27(3), pages 537-563, April.
    30. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    31. Huber, Christoph & Holzmeister, Felix & Johannesson, Magnus & König-Kersting, Christian & Dreber, Anna & Huber, Jürgen & Kirchler, Michael, 2024. "Do Experimental Asset Market Results Replicate? High-Powered Preregistered Replications of 17 Claims," I4R Discussion Paper Series 190, The Institute for Replication (I4R).
    32. 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.
    33. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
    34. Alberto Martin & Jaume Ventura, 2012. "Economic Growth with Bubbles," American Economic Review, American Economic Association, vol. 102(6), pages 3033-3058, October.
    35. Jacob-Leal, Sandrine & Hanaki, Nobuyuki, 2024. "Algorithmic trading, what if it is just an illusion? Evidence from experimental asset markets," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 112(C).
    36. 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.
    37. 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.
    38. Andrei Kirilenko & Albert S. Kyle & Mehrdad Samadi & Tugkan Tuzun, 2017. "The Flash Crash: High-Frequency Trading in an Electronic Market," Journal of Finance, American Finance Association, vol. 72(3), pages 967-998, June.
    39. 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.
    40. 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.
    41. Lucy F. Ackert & Narat Charupat & Richard Deaves & Brian D. Kluger, 2006. "The origins of bubbles in laboratory asset markets," FRB Atlanta Working Paper 2006-06, Federal Reserve Bank of Atlanta.
    42. Fink, Josef & Palan, Stefan & Theissen, Erik, 2024. "Earnings Autocorrelation and the Post-Earnings-Announcement Drift: Experimental Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 59(6), pages 2799-2837, September.
    43. Francesco Cordoni & Fabrizio Lillo, 2024. "Instabilities in multi-asset and multi-agent market impact games," Annals of Operations Research, Springer, vol. 336(1), pages 505-539, May.
    44. repec:osf:osfxxx:8abyu_v1 is not listed on IDEAS
    45. 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.
    46. 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.
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    Keywords

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    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G40 - Financial Economics - - Behavioral Finance - - - General

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