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Is more information always better: Experimental financial markets with cumulative information

Citations

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Cited by:

  1. Anita Kopányi-Peuker & Matthias Weber & Lauren Cohen, 2021. "Experience Does Not Eliminate Bubbles: Experimental Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4450-4485.
  2. Glenn Boyle & Gerald Ward, 2016. "Do Better Informed Investors Always Do Better?," Working Papers in Economics 16/29, University of Canterbury, Department of Economics and Finance.
  3. Simone Alfarano & Iván Barreda-Tarrazona & Eva Camacho-Cuena, 2006. "On the role of heterogeneous and imperfect information in a laboratory financial market," 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. 14(4), pages 417-433, December.
  4. Mohamed CHIKHI & Claude DIEBOLT, 2022. "Testing the weak form efficiency of the French ETF market with the LSTAR-ANLSTGARCH approach using a semiparametric estimation," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13, pages 228-253, June.
  5. Barreda Tarrazona, Iván J. & Grimalda, Gianluca & Morone, Andrea & Nuzzo, Simone & Teglio, Andrea, 2017. "Centralizing information improves market efficiency more than increasing information: Results from experimental asset markets," Kiel Working Papers 2072, Kiel Institute for the World Economy (IfW Kiel).
  6. Hidetoshi Yamaji & Masatoshi Gotoh & Yoshinori Yamakawa, 2016. "Additional Information Increases Uncertainty in the Securities Market: Using both Laboratory and fMRI Experiments," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 425-451, October.
  7. Stefan Palan & Jürgen Huber & Larissa Senninger, 2020. "Aggregation mechanisms for crowd predictions," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 788-814, September.
  8. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
  9. Rocco Caferra & Simone Nuzzo & Andrea Morone, 2023. "“Less is more” or “more is better”? The effect of asymmetric information distribution on market efficiency and wealth inequality," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 233-250, April.
  10. Morone, Andrea & Caferra, Rocco, 2020. "Inequalities in financial markets: Evidences from a laboratory experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 88(C).
  11. Yuan Ding & Thomas Jeanjean & Cédric Lesage & Hervé Stolowy, 2009. "An Experiment in the Economic Consequences of Additional Disclosure: The Case of the Fair Value of Unlisted Equity Investments," Post-Print halshs-00458950, HAL.
  12. Giovanni Ferri & Andrea Morone, 2014. "The effect of rating agencies on herd behaviour," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(1), pages 107-127, April.
  13. Douglas Davis & Oleg Korenok & Edward Simpson Prescott, 2011. "An experimental analysis of contingent capital triggering mechanisms," Working Paper 11-01, Federal Reserve Bank of Richmond.
  14. Oliver Gloede & Lukas Menkhoff, 2014. "Financial Professionals' Overconfidence: Is It Experience, Function, or Attitude?," European Financial Management, European Financial Management Association, vol. 20(2), pages 236-269, March.
  15. Ruiz-Buforn, Alba & Alfarano, Simone & Morone, Andrea, 2019. "Welfare effects of public information in a laboratory financial market," MPRA Paper 95424, University Library of Munich, Germany.
  16. 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.
  17. Michael Kirchler, 2008. "It is hard to beat the Monkeys - On the Value of Asymmetric Fundamental Information in Asset Markets," Working Papers 2008-19, Faculty of Economics and Statistics, Universität Innsbruck.
  18. 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.
  19. Hauser, Florian & Schredelseker, Klaus, 2018. "Who benefits from insider regulation?," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 203-210.
  20. Weissensteiner, Alex, 2019. "Correlated noise: Why passive investment might improve market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 158-172.
  21. repec:grz:wpsses:2021-04 is not listed on IDEAS
  22. Kirchler, Michael, 2010. "Partial knowledge is a dangerous thing - On the value of asymmetric fundamental information in asset markets," Journal of Economic Psychology, Elsevier, vol. 31(4), pages 643-658, August.
  23. Elena Asparouhova & Peter Bossaerts, 2017. "Experiments on Percolation of Information in Dark Markets," Economic Journal, Royal Economic Society, vol. 127(605), pages 518-544.
  24. Charles N. Noussair & Steven Tucker, 2013. "Experimental Research On Asset Pricing," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 554-569, July.
  25. Florian Hauser & Bob Kaempff, 2013. "Evolution of trading strategies in a market with heterogeneously informed agents," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 575-607, July.
  26. Menkhoff, Lukas & Schmeling, Maik & Schmidt, Ulrich, 2013. "Overconfidence, experience, and professionalism: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 92-101.
  27. Royal, Andrew & Tasoff, Joshua, 2017. "When higher productivity hurts: The interaction between overconfidence and capital," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 67(C), pages 131-142.
  28. Ackert, Lucy F. & Church, Bryan K. & Zhang, Ping, 2018. "Informed traders’ performance and the information environment: Evidence from experimental asset markets," Accounting, Organizations and Society, Elsevier, vol. 70(C), pages 1-15.
  29. Mosenhauer, Moritz, 2020. "Information Management against Excessive Stock Trading: More or Less? Or Both?," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224549, Verein für Socialpolitik / German Economic Association.
  30. 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.
  31. Aleksandra Rutkowska & Agata Kliber, 2021. "Say anything you want about me if you spell my name right: the effect of Internet searches on financial market," 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. 29(2), pages 633-664, June.
  32. Thomas Stöckl & Michael Kirchler, 2010. "Trading strategies and trading profits in experimental asset markets with cumulative information," Working Papers 2010-09, Faculty of Economics and Statistics, Universität Innsbruck.
  33. Merl, Robert, 2022. "Literature review of experimental asset markets with insiders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
  34. Kirchler, Michael & Huber, Jürgen, 2009. "An exploration of commonly observed stylized facts with data from experimental asset markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1631-1658.
  35. Nolte, Ingmar & Nolte, Sandra & Pohlmeier, Winfried, 2019. "What determines forecasters’ forecasting errors?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 11-24.
  36. Carlo Marinelli & Alex Weissensteiner, 2013. "On the relation between forecast precision and trading profitability of financial analysts," Papers 1301.6638, arXiv.org.
  37. Taylor Jaworski & Erik O. Kimbrough, 2016. "Bubbles, Crashes, And Endogenous Uncertainty In Linked Asset And Product Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 155-176, February.
  38. repec:grz:wpsses:2014-03 is not listed on IDEAS
  39. 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.
  40. J. B. Satinover & D. Sornette, 2007. "”Illusion of control” in Time-Horizon Minority and Parrondo Games," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 60(3), pages 369-384, December.
  41. Huber, Jurgen, 2007. "`J'-shaped returns to timing advantage in access to information - Experimental evidence and a tentative explanation," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2536-2572, August.
  42. Aleksandra Alorić & Peter Sollich & Peter McBurney & Tobias Galla, 2016. "Emergence of Cooperative Long-Term Market Loyalty in Double Auction Markets," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-26, April.
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