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Antonio Guarino

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Cipriani, Marco & Angrisani, Marco & Guarino, Antonio & Kendall, Ryan & Ortiz de Zarate Pina, Julen, 2020. "Risk Preferences at the Time of COVID-19: An Experiment with Professional Traders and Students," CEPR Discussion Papers 15108, C.E.P.R. Discussion Papers.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Economic consequences > Finance and credit

Working papers

  1. Cipriani, Marco & Guarino, Antonio & Uthemann, Andreas, 2022. "Financial Transaction Taxes and the Informational Efficiency of Financial Markets: A Structural Estimation," CEPR Discussion Papers 17238, C.E.P.R. Discussion Papers.

    Cited by:

    1. Pengguang Lu, 2023. "A Simple Model of Herding and Contrarian Behaviour with Biased Informed Traders," Economics Discussion Paper Series 2307, Economics, The University of Manchester, revised Dec 2023.

  2. Roberta de Filippis & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2022. "Non-Bayesian updating in a social learning experiment," Post-Print halshs-03229978, HAL.

    Cited by:

    1. Cavatorta, Elisa & Guarino, Antonio & Huck, Steffen, 2023. "Social Learning with Partial and Aggregate Information: Experimental Evidence," CEPR Discussion Papers 18461, C.E.P.R. Discussion Papers.
    2. Kawakami, Hajime, 2023. "Doob’s consistency of a non-Bayesian updating process," Statistics & Probability Letters, Elsevier, vol. 203(C).
    3. Cheng, Xiaoyu, 2022. "Relative Maximum Likelihood updating of ambiguous beliefs," Journal of Mathematical Economics, Elsevier, vol. 99(C).
    4. Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," PSE-Ecole d'économie de Paris (Postprint) halshs-03325779, HAL.
    5. Wenbo Zou & Xue Xu, 2023. "Ingroup bias in a social learning experiment," Experimental Economics, Springer;Economic Science Association, vol. 26(1), pages 27-54, March.
    6. Kathleen Ngangoué, M., 2021. "Learning under ambiguity: An experiment in gradual information processing," Journal of Economic Theory, Elsevier, vol. 195(C).
    7. Alice Hsiaw & Ing-Haw Cheng, 2016. "Distrust in Experts and the Origins of Disagreement," Working Papers 110R2, Brandeis University, Department of Economics and International Business School, revised Jan 2017.
    8. Yves Breitmoser & Justin Valasek & Justin Mattias Valasek, 2023. "Why Do Committees Work?," CESifo Working Paper Series 10800, CESifo.
    9. Breitmoser, Yves & Valasek, Justin, 2023. "Why do committees work?," Discussion Paper Series in Economics 18/2023, Norwegian School of Economics, Department of Economics.
    10. Duffy, John & Hopkins, Ed & Kornienko, Tatiana, 2021. "Lone wolf or herd animal? Information choice and learning from others," European Economic Review, Elsevier, vol. 134(C).
    11. Shishkin, Denis & Ortoleva, Pietro, 2023. "Ambiguous information and dilation: An experiment," Journal of Economic Theory, Elsevier, vol. 208(C).

  3. Marco Cipriani & Roberta De Filippis & Antonio Guarino & Ryan Kendall, 2020. "Trading by Professional Traders: An Experiment," Staff Reports 939, Federal Reserve Bank of New York.

    Cited by:

    1. Rocco Caferra & Andrea Morone & Piergiuseppe Morone & Paolo Storelli, 2022. "Professional traders’ individual and social preferences under risk: Does group's wealth matter?," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(4), pages 1063-1082, December.

  4. Cipriani, Marco & Angrisani, Marco & Guarino, Antonio & Kendall, Ryan & Ortiz de Zarate Pina, Julen, 2020. "Risk Preferences at the Time of COVID-19: An Experiment with Professional Traders and Students," CEPR Discussion Papers 15108, C.E.P.R. Discussion Papers.

    Cited by:

    1. Zechen Zeng & Nobutoshi Nawa & Chie Hirama & Takeo Fujiwara, 2023. "Hedonic Risk Preference Associated with High-Risk Behaviors under COVID-19 Pandemic among Medical Students in Japan," IJERPH, MDPI, vol. 20(12), pages 1-13, June.
    2. King King Li & Ying-Yi Hong & Bo Huang & Tony Tam, 2022. "Social preferences before and after the onset of the COVID-19 pandemic in China," Post-Print hal-03899653, HAL.
    3. Andreas C. Drichoutis & Rodolfo M. Nayga, 2022. "On the stability of risk and time preferences amid the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 759-794, June.
    4. Christoph Huber & Christian König-Kersting & Matteo M. Marini, 2022. "Experimenting with Financial Professionals," Working Papers 2022-07, Faculty of Economics and Statistics, Universität Innsbruck, revised Jun 2024.
    5. Huber, Christoph & Huber, Juergen & Kirchler, Michael, 2020. "Market shocks and professionals' investment behavior – Evidence from the COVID-19 crash," OSF Preprints fgxpb, Center for Open Science.
    6. Delphine Boutin & Laurène Petifour & Haris Megzari, 2022. "Instability of preferences due to Covid-19 Crisis and emotions: a natural experiment from urban Burkina Faso," Working Papers hal-03623601, HAL.
    7. Castillo, Jose Gabriel & Hernandez, Manuel A., 2023. "The unintended consequences of confinement: Evidence from the rural area in Guatemala," Journal of Economic Psychology, Elsevier, vol. 95(C).
    8. Hamza Umer, 2023. "Stability of pro-sociality and trust amid the Covid-19: panel data from the Netherlands," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 255-287, February.
    9. Lohmann, Paul M. & Gsottbauer, Elisabeth & You, Jing & Kontoleon, Andreas, 2023. "Anti-social behaviour and economic decision-making: Panel experimental evidence in the wake of COVID-19," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 136-171.
    10. Adema, Joop & Nikolka, Till & Poutvaara, Panu & Sunde, Uwe, 2021. "On the Stability of Risk Preferences: Measurement Matters," IZA Discussion Papers 14755, Institute of Labor Economics (IZA).
    11. Adam Farago & Martin Holmén & Felix Holzmeister & Michael Kirchler & Michael Razen, 2022. "Cognitive Skills and Economic Preferences in the Fund Industry," The Economic Journal, Royal Economic Society, vol. 132(645), pages 1737-1764.
    12. Irene Mussio & Maximiliano Sosa Andrés & Abdul H Kidwai, 2023. "Higher order risk attitudes in the time of COVID-19: an experimental study," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 163-182.
    13. Hamza Umer, 2023. "A selected literature review of the effect of Covid-19 on preferences," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 9(1), pages 147-156, June.
    14. Bokern, Paul & Linde, Jona & Riedl, Arno & Werner, Peter, 2023. "The robustness of preferences during a crisis: The case of COVID-19," Research Memorandum 012, Maastricht University, Graduate School of Business and Economics (GSBE).
    15. Aragon, Fernando M. & Bernal, Noelia & Bosch, Mariano & Molina, Oswaldo, 2024. "COVID-19 and economic preferences: Evidence from a panel of cab drivers," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 112(C).
    16. Bu, Di & Hanspal, Tobin & Liao, Yin & Liu, Yong, 2021. "Risk taking, preferences, and beliefs: Evidence from Wuhan," SAFE Working Paper Series 301, Leibniz Institute for Financial Research SAFE.
    17. Glenn W. Harrison & Andre Hofmeyr & Harold Kincaid & Brian Monroe & Don Ross & Mark Schneider & J. Todd Swarthout, 2022. "Subjective beliefs and economic preferences during the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 795-823, June.
    18. Calvin Mudzingiri & Sevias Guvuriro & Charity Gomo, 2021. "Exploring Association between Self-Reported Financial Status and Economic Preferences Using Experimental Data," JRFM, MDPI, vol. 14(6), pages 1-13, May.
    19. Ramlall, Indranarain, 2022. "Does geographical proximity matter in determining the profitability of banks?," Journal of Policy Modeling, Elsevier, vol. 44(6), pages 1251-1279.
    20. Björn Bos & Moritz A. Drupp & Jasper N. Meya & Martin F. Quaas, 2023. "Financial Risk-Taking under Health Risk," CESifo Working Paper Series 10387, CESifo.
    21. Boutin, Delphine & Petifour, Laurene & Megzari, Haris, 2023. "Permanent Instability of Preferences after COVID-19 Crisis: A Natural Experiment from Urban Burkina Faso," IZA Discussion Papers 16075, Institute of Labor Economics (IZA).
    22. Julien Bergeot & Florence Jusot, 2024. "Risk, time preferences, trustworthiness and COVID-19 preventive behavior: evidence from France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 91-101, February.
    23. Marco Cipriani & Roberta De Filippis & Antonio Guarino & Ryan Kendall, 2020. "Trading by Professional Traders: An Experiment," Staff Reports 939, Federal Reserve Bank of New York.
    24. Qiuyun Wang & Lu Liu, 2022. "Pandemic or panic? A firm-level study on the psychological and industrial impacts of COVID-19 on the Chinese stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    25. Li, Jingping & Zheng, Jin Di, 2023. "Pro-social preferences and risk aversion with different payment methods: Evidence from the laboratory," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 324-337.
    26. Zhou, Yan & Aoki, Keiko & Akai, Kenju, 2024. "Relationship between health behavior compliance and prospect theory-based risk preferences during a pandemic of COVID-19," China Economic Review, Elsevier, vol. 86(C).
    27. Lin Li, 2023. "Investigating risk assessment in post-pandemic household cryptocurrency investments: an explainable machine learning approach," Journal of Asset Management, Palgrave Macmillan, vol. 24(4), pages 255-267, July.
    28. Shachat, Jason & Walker, Matthew J. & Wei, Lijia, 2021. "How the onset of the Covid-19 pandemic impacted pro-social behaviour and individual preferences: Experimental evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 480-494.
    29. Hermanns, Benedicta & Kokot, Johanna, 2023. "Contextual framing effects on risk aversion assessed using the bomb risk elicitation task," Economics Letters, Elsevier, vol. 229(C).
    30. Delphine BOUTIN & Laurène PETIFOUR & Haris MEGZARI, 2022. "Instability of preferences due to Covid-19 Crisis and emotions: a natural experiment from urban Burkina Faso," Bordeaux Economics Working Papers 2022-05, Bordeaux School of Economics (BSE).
    31. Kalwij, Adriaan, 2023. "Risk preferences, preventive behaviour, and the probability of a loss: Empirical evidence from the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 334(C).

  5. Roberta De Filippis & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2017. "Updating ambiguous beliefs in a social learning experiment," CeMMAP working papers 13/17, Institute for Fiscal Studies.

    Cited by:

    1. Li, Wenhui & Wilde, Christian, 2020. "Belief formation and belief updating under ambiguity: Evidence from experiments," SAFE Working Paper Series 251, Leibniz Institute for Financial Research SAFE, revised 2020.
    2. Levy, Gilat & Razin, Ronny, 2021. "A maximum likelihood approach to combining forecasts," LSE Research Online Documents on Economics 104116, London School of Economics and Political Science, LSE Library.
    3. Brice Corgnet & Roberto Hernán-Gonzalez & Praveen Kujal, 2018. "On Booms That Never Bust: Ambiguity in Experimental Asset Markets with Bubbles," Working Papers halshs-01898435, HAL.
    4. Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," PSE-Ecole d'économie de Paris (Postprint) halshs-03325779, HAL.
    5. Bou{g}ac{c}han c{C}elen & Sen Geng & Huihui Li, 2020. "Belief Error and Non-Bayesian Social Learning: Experimental Evidence," Papers 2011.09640, arXiv.org.
    6. Alice Hsiaw & Ing-Haw Cheng, 2016. "Distrust in Experts and the Origins of Disagreement," Working Papers 110R2, Brandeis University, Department of Economics and International Business School, revised Jan 2017.
    7. Gerrit Bauch, 2023. "Underreaction and dynamic inconsistency in communication games under noise," Papers 2311.12496, arXiv.org.
    8. Aljoscha Minnich & Hauke Roggenkamp & Andreas Lange, 2023. "Ambiguity Attitudes and Surprises: Experimental Evidence on Communicating New Information within a Large Population Sample," CESifo Working Paper Series 10783, CESifo.
    9. Duffy, John & Hopkins, Ed & Kornienko, Tatiana & Ma, Mingye, 2019. "Information choice in a social learning experiment," Games and Economic Behavior, Elsevier, vol. 118(C), pages 295-315.
    10. Konstantinos Georgalos, 2019. "An experimental test of the predictive power of dynamic ambiguity models," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 51-83, August.
    11. Denis Shishkin & Pietro Ortoleva, 2021. "Ambiguous Information and Dilation: An Experiment," Working Papers 2020-53, Princeton University. Economics Department..

  6. Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2017. "Information redundancy neglect versus overconfidence: a social learning experiment," CeMMAP working papers 32/17, Institute for Fiscal Studies.

    Cited by:

    1. Cavatorta, Elisa & Guarino, Antonio & Huck, Steffen, 2023. "Social Learning with Partial and Aggregate Information: Experimental Evidence," CEPR Discussion Papers 18461, C.E.P.R. Discussion Papers.
    2. Kai Barron & Steffen Huck & Philippe Jehiel, 2023. "Everyday econometricians: Selection neglect and overoptimism when learning from others," PSE Working Papers halshs-04154345, HAL.
    3. Cao, Qian & Li, Jianbiao & Niu, Xiaofei, 2019. "The role of overconfidence in overweighting private information: Does gender matter?," EconStor Preprints 203448, ZBW - Leibniz Information Centre for Economics.
    4. Aislinn Bohren & Daniel Hauser, 2018. "Social Learning with Model Misspeciification: A Framework and a Robustness Result," PIER Working Paper Archive 18-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Jul 2018.
    5. De Filippis, Roberta & Guarino, Antonio & Jehiel, Philippe & Kitagawa, Toru, 2022. "Non-Bayesian updating in a social learning experiment," Journal of Economic Theory, Elsevier, vol. 199(C).
    6. March, Christoph & Ziegelmeyer, Anthony, 2020. "Altruistic observational learning," Journal of Economic Theory, Elsevier, vol. 190(C).
    7. Melissa Newham & Rune Midjord, 2018. "Herd Behavior in FDA Committees: A Structural Approach," Discussion Papers of DIW Berlin 1744, DIW Berlin, German Institute for Economic Research.
    8. Lazarina Butkovich & Nina Butkovich & Saba Devdariani & Charles R. Plott & Han Seo, 2020. "Fake News, Information Herds, Cascades, and Economic Knowledge," Public Finance Review, , vol. 48(6), pages 806-828, November.
    9. Christoph March & Anthony Ziegelmeyer, 2018. "Excessive Herding in the Laboratory: The Role of Intuitive Judgments," CESifo Working Paper Series 6855, CESifo.

  7. Marco Cipriani & Antonio Guarino & Giovanni Guazzarotti & Federico Tagliati & Sven Fischer, 2016. "Informational contagion in the laboratory," Temi di discussione (Economic working papers) 1063, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    2. Chen, Bin-xia & Sun, Yan-lin, 2022. "The impact of VIX on China’s financial market: A new perspective based on high-dimensional and time-varying methods," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    3. Bayona, Anna & Peia, Oana, 2022. "Financial contagion and the wealth effect: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1184-1202.
    4. Concetta Rondinelli & Roberta Zizza, 2020. "Spend today or spend tomorrow? The role of inflation expectations in consumer behaviour," Temi di discussione (Economic working papers) 1276, Bank of Italy, Economic Research and International Relations Area.
    5. König-Kersting, Christian & Trautmann, Stefan T. & Vlahu, Razvan, 2022. "Bank instability: Interbank linkages and the role of disclosure," Journal of Banking & Finance, Elsevier, vol. 134(C).

  8. Marco Cipriani & Antonio Guarino, 2012. "Estimating a structural model of herd behavior in financial markets," Staff Reports 561, Federal Reserve Bank of New York.

    Cited by:

    1. Marco Cipriani & Antonio Guarino & Andreas Uthemann, 2021. "Financial Transaction Taxes and the Informational Efficiency of Financial Markets: A Structural Estimation," Staff Reports 993, Federal Reserve Bank of New York.
    2. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    3. Wang, Hailong & Hu, Duni, 2021. "Heterogeneous beliefs with herding behaviors and asset pricing in two goods world," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    4. Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
    5. Christoph Aymanns & Co-Pierre Georg, 2014. "Contagious Synchronization and Endogenous Network Formation in Financial Networks," Papers 1408.0440, arXiv.org.
    6. Choi, Jae Hoon & Munro, David, 2022. "Market liquidity and excess volatility: Theory and experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    7. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    8. Stephanie De Mel & Kaivan Munshi & Soenje Reiche & Hamid Sabourian, 2021. "Herding with Heterogeneous Ability: An Application to Organ Transplantation," Cowles Foundation Discussion Papers 2308, Cowles Foundation for Research in Economics, Yale University.
    9. Kendall, Chad, 2018. "The time cost of information in financial markets," Journal of Economic Theory, Elsevier, vol. 176(C), pages 118-157.
    10. Xiong, Hang & Payne, Diane & Kinsella, Stephen, 2016. "Peer effects in the diffusion of innovations: Theory and simulation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 1-13.
    11. March, Christoph & Ziegelmeyer, Anthony, 2020. "Altruistic observational learning," Journal of Economic Theory, Elsevier, vol. 190(C).
    12. Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2024. "Information Cascades and Social Learning," Journal of Economic Literature, American Economic Association, vol. 62(3), pages 1040-1093, September.
    13. Al-Jarhi, Mabid Ali M. M., 2016. "An Economic Theory of Islamic Finance Regulation," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 24, pages 1-44.
    14. Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
    15. Hwang, Soosung & Rubesam, Alexandre & Salmon, Mark, 2021. "Beta herding through overconfidence: A behavioral explanation of the low-beta anomaly," Journal of International Money and Finance, Elsevier, vol. 111(C).
    16. Duygun, Meryem & Tunaru, Radu & Vioto, Davide, 2021. "Herding by corporates in the US and the Eurozone through different market conditions," Journal of International Money and Finance, Elsevier, vol. 110(C).
    17. da Gama Batista, João & Massaro, Domenico & Bouchaud, Jean-Philippe & Challet, Damien & Hommes, Cars, 2017. "Do investors trade too much? A laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 18-34.
    18. Zhao, Yuyang & Xiang, Cheng & Cai, Wenwu, 2021. "Stock market liberalization and institutional herding: Evidence from the Shanghai-Hong Kong and Shenzhen-Hong Kong Stock Connects," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
    19. Zhong, Guang-Yan & Li, Jiang-Cheng & Jiang, George J. & Li, Hai-Feng & Tao, Hui-Ming, 2018. "The time delay restraining the herd behavior with Bayesian approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 335-346.
    20. Dilip M. Nachane, 2018. "The Global Crisis According to Post-Keynesians," India Studies in Business and Economics, in: Critique of the New Consensus Macroeconomics and Implications for India, chapter 0, pages 205-220, Springer.
    21. Chmura, Thorsten & Le, Hang & Nguyen, Kim, 2022. "Herding with leading traders: Evidence from a laboratory social trading platform," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 93-106.
    22. Cai, Fang & Han, Song & Li, Dan & Li, Yi, 2019. "Institutional herding and its price impact: Evidence from the corporate bond market," Journal of Financial Economics, Elsevier, vol. 131(1), pages 139-167.
    23. Nicolas, Maxime L.D., 2022. "Estimating a model of herding behavior on social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    24. Frey, Stefan & Herbst, Patrick & Walter, Andreas, 2014. "Measuring mutual fund herding – A structural approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 219-239.
    25. Marius Popescu & Zhaojin Xu, 2018. "Mutual fund herding and reputational concerns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(3), pages 550-565, July.
    26. Lyócsa, Štefan & Baumöhl, Eduard & Výrost, Tomáš, 2022. "YOLO trading: Riding with the herd during the GameStop episode," Finance Research Letters, Elsevier, vol. 46(PA).
    27. Noemi Schmitt & Frank Westerhoff, 2017. "Herding behaviour and volatility clustering in financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 17(8), pages 1187-1203, August.
    28. Yanwei Jia & Jussi Keppo & Ville Satopää, 2023. "Herding in Probabilistic Forecasts," Management Science, INFORMS, vol. 69(5), pages 2713-2732, May.
    29. Ramos-Francia, Manuel & Garcia-Verdu, Santiago, 2018. "Is trouble brewing for emerging market economies? An empirical analysis of emerging market economies’ bond flows," Journal of Financial Stability, Elsevier, vol. 35(C), pages 172-191.
    30. Hasan, Iftekhar & Tunaru, Radu & Vioto, Davide, 2023. "Herding behavior and systemic risk in global stock markets," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 107-133.
    31. Mavruk, Taylan, 2022. "Analysis of herding behavior in individual investor portfolios using machine learning algorithms," Research in International Business and Finance, Elsevier, vol. 62(C).
    32. Liu, Duan & Wang, Lili & Yan, Jing & Wan, Hong, 2023. "R&D manipulation and SEO pricing in the Chinese capital market: The information effect of inefficient investment," Research in International Business and Finance, Elsevier, vol. 65(C).
    33. Yan, Han & Liu, Bin & Zhu, Xingting & Wu, Yan, 2024. "Systemic risk monitoring model from the perspective of public information arrival," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    34. Duarte, Jefferson & Hu, Edwin & Young, Lance, 2020. "A comparison of some structural models of private information arrival," Journal of Financial Economics, Elsevier, vol. 135(3), pages 795-815.
    35. Keppo, Jussi & Satopää, Ville A., 2024. "Bayesian herd detection for dynamic data," International Journal of Forecasting, Elsevier, vol. 40(1), pages 285-301.

  9. Marco Cipriani & Antonio Guarino, 2010. "Herd Behavior and Contagion in Financial Markets," Working Papers 2010-01, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Marco Cipriani & Antonio Guarino & Andreas Uthemann, 2021. "Financial Transaction Taxes and the Informational Efficiency of Financial Markets: A Structural Estimation," Staff Reports 993, Federal Reserve Bank of New York.
    2. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    3. Décamps, Jean-Paul & Lovo, Stefano, 2003. "Market Informational Inefficiency, Risk Aversion and Quantity Grid," IDEI Working Papers 177, Institut d'Économie Industrielle (IDEI), Toulouse.
    4. Ritika & Nawal Kishor, 2020. "Development and validation of behavioral biases scale: a SEM approach," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(2), pages 237-259, November.
    5. Schaal, Edouard & Taschereau-Dumouchel, Mathieu, 2021. "Herding Through Booms and Busts," CEPR Discussion Papers 16368, C.E.P.R. Discussion Papers.
    6. Ana Fostel & John Geanakoplos, 2008. "Emerging Markets in an Anxious Global Economy," Levine's Working Paper Archive 122247000000002074, David K. Levine.
    7. Mathias Drehmann & Joerg Oechssler & Andreas Roider, 2002. "Herding and Contrarian Behavior in Financial Markets - An Internet Experiment," Finance 0210005, University Library of Munich, Germany.
    8. Andrea Morone & Simone Nuzzo, 2016. "Asset markets in the lab: A literature review," Working Papers 2016/10, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Eyster, Erik & Galeotti, Andrea & Kartik, Navin & Rabin, Matthew, 2014. "Congested observational learning," Games and Economic Behavior, Elsevier, vol. 87(C), pages 519-538.
    10. Andrey Kudryavtsev, 2021. "Effect of Market-Wide Herding on the Next Day's Stock Return," Bulgarian Economic Papers bep-2021-04, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Mar 2021.
    11. Chen, Bin-xia & Sun, Yan-lin, 2022. "The impact of VIX on China’s financial market: A new perspective based on high-dimensional and time-varying methods," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    12. Henry Cao & David Hirshleifer, 2004. "Taking the Road Less Traveled: Does Conversation Eradicate Pernicious Cascades?," Game Theory and Information 0412001, University Library of Munich, Germany.
    13. Gregory DeCoster & William Strange, 2012. "Developers, Herding, and Overbuilding," The Journal of Real Estate Finance and Economics, Springer, vol. 44(1), pages 7-35, January.
    14. Karol Szafranek, 2015. "Financialisation of the commodity markets. Conclusions from the VARX DCC GARCH," EcoMod2015 8554, EcoMod.
    15. Choi, Jae Hoon & Munro, David, 2022. "Market liquidity and excess volatility: Theory and experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    16. Jonathan E. Alevy & Michael S. Haigh & John List, 2006. "Information Cascades: Evidence from An Experiment with Financial Market Professionals," NBER Working Papers 12767, National Bureau of Economic Research, Inc.
    17. Mohamed El Hedi Arouri & Raphaëlle Bellando & Sébastien Ringuedé & Anne-Gaël Vaubourg, 2013. "Herding in French stock markets: Empirical evidence from equity mutual funds," Post-Print halshs-01066726, HAL.
    18. Antonio Guarino & Marco Cipriani, 2010. "Estimating a Structural Model of Herd Behavior in Financial Markets," IMF Working Papers 2010/288, International Monetary Fund.
    19. Zhiyong Dong & Qingyang Gu & Xu Han, 2010. "Ambiguity aversion and rational herd behaviour," Applied Financial Economics, Taylor & Francis Journals, vol. 20(4), pages 331-343.
    20. Decamps, Jean-Paul & Lovo, Stefano, 2006. "Informational cascades with endogenous prices: The role of risk aversion," Journal of Mathematical Economics, Elsevier, vol. 42(1), pages 109-120, February.
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    25. Cipriani, Marco & Guarino, Antonio, 2008. "Transaction costs and informational cascades in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 581-592, December.
    26. Park, Andreas & Sgroi, Daniel, 2008. "When Herding and Contrarianism Foster Market Efficiency: A Financial Trading Experiment," Economic Research Papers 269852, University of Warwick - Department of Economics.
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    29. Catalin Dragomirescu-Gaina & Emilios Galariotis & Dionisis Philippas, 2021. "Chasing the ‘green bandwagon’ in times of uncertainty," Post-Print hal-03142447, HAL.
    30. Wang, Guocheng & Wang, Yanyi, 2018. "Herding, social network and volatility," Economic Modelling, Elsevier, vol. 68(C), pages 74-81.
    31. Namid R. Stillman & Rory Baggott, 2024. "Neuro-Symbolic Traders: Assessing the Wisdom of AI Crowds in Markets," Papers 2410.14587, arXiv.org.
    32. Atenga, Eric Martial Etoundi & Mougoué, Mbodja, 2021. "Return and volatility spillovers to African currencies markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    33. Pengguang Lu, 2023. "A Simple Model of Herding and Contrarian Behaviour with Biased Informed Traders," Economics Discussion Paper Series 2307, Economics, The University of Manchester, revised Dec 2023.
    34. Bogdan Dima & Laura Raisa MiloÅŸ, 2009. "Testing The Efficiency Market Hypothesis For The Romanian Stock Market," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(11), pages 1-41.
    35. Al-Jarhi, Mabid Ali M. M., 2016. "An Economic Theory of Islamic Finance Regulation," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 24, pages 1-44.
    36. Marco Cipriani & Antonio Guarino & Giovanni Guazzarotti & Federico Tagliati & Sven Fischer, 2018. "Informational Contagion in the Laboratory," Review of Finance, European Finance Association, vol. 22(3), pages 877-904.
    37. Andrey Kudryavtsev & Gil Cohen & Shlomit Hon-Snir, 2013. "“Rational” or “Intuitive”: Are Behavioral Biases Correlated Across Stock Market Investors?," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    38. Cipriani, Marco & Gardenal, Gloria & Guarino, Antonio, 2013. "Financial contagion in the laboratory: The cross-market rebalancing channel," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4310-4326.
    39. Cook, Douglas O. & Luo, Shikong (Scott), 2023. "Fund flow-induced volatility and the cost of debt," Journal of Banking & Finance, Elsevier, vol. 146(C).
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    41. Isabel Trevino, 2020. "Informational Channels of Financial Contagion," Econometrica, Econometric Society, vol. 88(1), pages 297-335, January.
    42. Dragomirescu-Gaina, Catalin & Philippas, Dionisis & Tsionas, Mike G., 2021. "Trading off accuracy for speed: Hedge funds' decision-making under uncertainty," International Review of Financial Analysis, Elsevier, vol. 75(C).
    43. Kamaldeen Ibraheem Nageri & Azeez Tunbosun Lawal & Falilat Ajoke Abdul, 2019. "Risk - Return Relationship: Nigerian Stock Market during Pre and Post 2007-2009 Financial Meltdown," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(2), pages 52-62, June.
    44. Boortz, Christopher & Jurkatis, Simon & Kremer, Stephanie & Nautz, Dieter, 2014. "Institutional herding in financial markets: New evidence through the lens of a simulated model," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100455, Verein für Socialpolitik / German Economic Association.
    45. Gębka, Bartosz & Wohar, Mark E., 2013. "International herding: Does it differ across sectors?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 55-84.
    46. Simões Vieira, Elisabete F. & Valente Pereira, Márcia S., 2015. "Herding behaviour and sentiment: Evidence in a small European market," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(1), pages 78-86.
    47. Roberto Casarin & Flaminio Squazzoni, 2012. "Financial press and stock markets in times of crisis," Working Papers 2012_04, Department of Economics, University of Venice "Ca' Foscari".
    48. Arina Nikandrova, 2014. "Informational and Allocative Efficiency in Financial Markets with Costly Information," Birkbeck Working Papers in Economics and Finance 1403, Birkbeck, Department of Economics, Mathematics & Statistics.
    49. Rüdiger, Jesper & Vigier, Adrien, 2019. "Learning about analysts," Journal of Economic Theory, Elsevier, vol. 180(C), pages 304-335.
    50. Maria Grazia Romano, 2007. "Learning, Cascades, and Transaction Costs," Review of Finance, European Finance Association, vol. 11(3), pages 527-560.
    51. Stefano Lovo & J. P. Décamps, 2006. "A Note on Risk Aversion and Herd Behavior in Financial Markets," Post-Print halshs-00119563, HAL.
    52. Peter Akioyamen & Yi Zhou Tang & Hussien Hussien, 2021. "A Hybrid Learning Approach to Detecting Regime Switches in Financial Markets," Papers 2108.05801, arXiv.org.
    53. Edouard Schaal & Mathieu Taschereau-Dumouchel, 2020. "Herding cycles," Economics Working Papers 1714, Department of Economics and Business, Universitat Pompeu Fabra, revised May 2023.
    54. Lin, Zi-Luo & Ouyang, Wen-Pei & Yu, Qing-Rui, 2024. "Risk spillover effects of the Israel–Hamas War on global financial and commodity markets: A time–frequency and network analysis," Finance Research Letters, Elsevier, vol. 66(C).
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    58. Kuppusamy Srinivasan & Parthasarathy Karthikeyan, 2023. "Investigating self-efficacy and behavioural bias on investment decisions," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 26(4), pages 119-133, December.
    59. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9142, University Library of Munich, Germany.
    60. Ilan Lobel & Evan Sadler, 2016. "Preferences, Homophily, and Social Learning," Operations Research, INFORMS, vol. 64(3), pages 564-584, June.
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    64. Boortz, Christopher & Kremer, Stephanie & Jurkatis, Simon & Nautz, Dieter, 2014. "Information risk, market stress and institutional herding in financial markets: New evidence through the lens of a simulated model," SFB 649 Discussion Papers 2014-029, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    65. Wang, Xinru & Kim, Maria H. & Suardi, Sandy, 2022. "Herding and China's market-wide circuit breaker," Journal of Banking & Finance, Elsevier, vol. 141(C).
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    68. Sayyed Sadaqat Hussain Shah & Muhammad Asif Khan & Masood Ahmed & Daniel F. Meyer & Judit Oláh, 2024. "A Micro-Level Evidence of how Investor and Manager Herding Behavior Influence the Firm Financial Performance," SAGE Open, , vol. 14(1), pages 21582440231, January.
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  10. Antonio Guarino & Philippe Jehiel, 2009. "Social Leanring with Course Inference," WEF Working Papers 0050, ESRC World Economy and Finance Research Programme, Birkbeck, University of London.

    Cited by:

    1. Antonio Guarino & Antonella Ianni, 2010. "Bayesian Social Learning with Local Interactions," Games, MDPI, vol. 1(4), pages 1-21, October.

  11. Antonio Guarino & Philippe Jehie, 2009. "Social Learning with Coarse Inference," Levine's Working Paper Archive 814577000000000292, David K. Levine.

    Cited by:

    1. Cavatorta, Elisa & Guarino, Antonio & Huck, Steffen, 2023. "Social Learning with Partial and Aggregate Information: Experimental Evidence," CEPR Discussion Papers 18461, C.E.P.R. Discussion Papers.
    2. Philippe Jehiel, 2022. "Analogy-Based Expectation Equilibrium and Related Concepts:Theory, Applications, and Beyond," PSE Working Papers halshs-03735680, HAL.
    3. Aislinn Bohren & Daniel Hauser, 2017. "Bounded Rationality And Learning: A Framwork and A Robustness Result," PIER Working Paper Archive 17-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 May 2017.
    4. Roberta De Filippis & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2016. "Updating ambiguous beliefs in a social learning experiment," CeMMAP working papers CWP18/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Levy, Gilat & Razin, Ronny, 2018. "Information diffusion in networks with the Bayesian Peer Influence heuristic," LSE Research Online Documents on Economics 86554, London School of Economics and Political Science, LSE Library.
    6. Anthony Ziegelmeyer & Frédéric Koessler & Juergen Bracht & Eyal Winter, 2010. "Fragility of Information Cascades: An Experimental Study Using Elicited Beliefs," Post-Print halshs-00754435, HAL.
    7. Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," PSE-Ecole d'économie de Paris (Postprint) halshs-03325779, HAL.
    8. Kawika Pierson & Jon C. Thompson & Fred Thompson, 2024. "Do what we did last year, but do not stray too far from the pack: A behavioral public finance approach to municipal cash reserves," Journal of Regional Science, Wiley Blackwell, vol. 64(3), pages 786-803, June.
    9. Aislinn Bohren, 2014. "Informational Herding with Model Misspecification, Second Version," PIER Working Paper Archive 15-022, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Nov 2014.
    10. Cao, Qian & Li, Jianbiao & Niu, Xiaofei, 2019. "The role of overconfidence in overweighting private information: Does gender matter?," EconStor Preprints 203448, ZBW - Leibniz Information Centre for Economics.
    11. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    12. Mira Frick & Ryota Iijima & Yuhta Ishii, 2019. "Misinterpreting Others and the Fragility of Social Learning," Cowles Foundation Discussion Papers 2160R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2020.
    13. Levy, Gilat & Razin, Ronny, 2018. "Information diffusion in networks with the Bayesian Peer Influence heuristic," Games and Economic Behavior, Elsevier, vol. 109(C), pages 262-270.
    14. Mueller-Frank, Manuel, 2024. "As strong as the weakest node: The impact of misinformation in social networks," Journal of Economic Theory, Elsevier, vol. 215(C).
    15. J. Aislinn Bohren & Daniel N. Hauser, 2021. "Learning with Heterogeneous Misspecfied Models: Characterization and Robustness," PIER Working Paper Archive 21-005, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    16. Aislinn Bohren & Daniel Hauser, 2018. "Social Learning with Model Misspeciification: A Framework and a Robustness Result," PIER Working Paper Archive 18-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Jul 2018.
    17. Bou{g}ac{c}han c{C}elen & Sen Geng & Huihui Li, 2020. "Belief Error and Non-Bayesian Social Learning: Experimental Evidence," Papers 2011.09640, arXiv.org.
    18. Christoph March, 2011. "Adaptive social learning," PSE Working Papers halshs-00572528, HAL.
    19. James C.D. Fisher & John Wooders, 2015. "Interacting Information Cascades: On the Movement of Conventions Between Groups," Working Paper Series 27, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    20. Ilai Bistritz & Nasimeh Heydaribeni & Achilleas Anastasopoulos, 2019. "Do Informational Cascades Happen with Non-myopic Agents?," Papers 1905.01327, arXiv.org, revised Jul 2022.
    21. De Filippis, Roberta & Guarino, Antonio & Jehiel, Philippe & Kitagawa, Toru, 2022. "Non-Bayesian updating in a social learning experiment," Journal of Economic Theory, Elsevier, vol. 199(C).
    22. Antonio Guarino & Antonella Ianni, 2010. "Bayesian Social Learning with Local Interactions," Games, MDPI, vol. 1(4), pages 1-21, October.
    23. Ignacio Monzon & Michael Rapp, 2011. "Observational Learning with Position Uncertainty," Carlo Alberto Notebooks 206, Collegio Carlo Alberto.
    24. Ali, S. Nageeb, 2018. "Herding with costly information," Journal of Economic Theory, Elsevier, vol. 175(C), pages 713-729.
    25. Penczynski, Stefan P., 2017. "The nature of social learning: Experimental evidence," European Economic Review, Elsevier, vol. 94(C), pages 148-165.
    26. Levy, Gilat & Razin, Ronny, 2019. "Echo chambers and their effects on economic and political outcomes," LSE Research Online Documents on Economics 101413, London School of Economics and Political Science, LSE Library.
    27. Ali, S. Nageeb, 2018. "On the role of responsiveness in rational herds," Economics Letters, Elsevier, vol. 163(C), pages 79-82.
    28. J. Aislinn Bohren, 2013. "Informational Herding with Model Misspecification," PIER Working Paper Archive 14-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    29. Antler, Yair, 2018. "Multilevel Marketing: Pyramid-Shaped Schemes or Exploitative Scams?," CEPR Discussion Papers 13054, C.E.P.R. Discussion Papers.
    30. Proto, Eugenio & Sgroi, Daniel, 2017. "Biased beliefs and imperfect information," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 186-202.
    31. Vincent Mak & Rami Zwick, 2014. "Experimenting and learning with localized direct communication," Experimental Economics, Springer;Economic Science Association, vol. 17(2), pages 262-284, June.
    32. Erik Eyster & Matthew Rabin, 2010. "Naïve Herding in Rich-Information Settings," American Economic Journal: Microeconomics, American Economic Association, vol. 2(4), pages 221-243, November.
    33. Guarino, Antonio & Harmgart, Heike & Huck, Steffen, 2011. "Aggregate information cascades," Games and Economic Behavior, Elsevier, vol. 73(1), pages 167-185, September.

  12. Marco Angrisani & Antonio Guarino & Steffen Huck & Nathan Larson, 2008. "No-Trade in the Laboratory," CESifo Working Paper Series 2436, CESifo.

    Cited by:

    1. Carrillo, Juan D. & Palfrey, Thomas R., 2011. "No trade," Games and Economic Behavior, Elsevier, vol. 71(1), pages 66-87, January.
    2. Aghion, Philippe & Fehr, Ernst & Holden, Richard & Wilkening, Tom, 2015. "The Role of Bounded Rationality and Imperfect Information in Subgame Perfect Implementation: An Empirical Investigation," IZA Discussion Papers 8971, Institute of Labor Economics (IZA).
    3. Wenner, Lukas M., 2018. "Do sellers exploit biased beliefs of buyers? An experiment," Games and Economic Behavior, Elsevier, vol. 110(C), pages 194-215.
    4. Kleinlercher, Daniel & Stöckl, Thomas, 2021. "Thou shalt not trade—An analysis of the violations of no-trade predictions in experimental asset markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    5. Ruiz-Buforn, Alba & Camacho-Cuena, Eva & Morone, Andrea & Alfarano, Simone, 2020. "Overweighting of public information in financial markets: A lesson from the lab," MPRA Paper 98472, University Library of Munich, Germany.
    6. Andrea Morone & Simone Nuzzo, 2019. "Market efficiency, trading institutions and information mirages: evidence from a laboratory asset market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 317-344, June.
    7. Morone, Andrea & Nuzzo, Simone, 2016. "Do markets (institutions) drive out lemmings - or vice versa?," Kiel Working Papers 2061, Kiel Institute for the World Economy (IfW Kiel).
    8. Page, Lionel & Siemroth, Christoph, 2017. "An experimental analysis of information acquisition in prediction markets," Games and Economic Behavior, Elsevier, vol. 101(C), pages 354-378.
    9. Schmitz, Patrick W. & Hoppe-Fischer, Eva, 2013. "Do Sellers Offer Menus of Contracts to Separate Buyer Types? An Experimental Test of Adverse Selection Theory," CEPR Discussion Papers 9510, C.E.P.R. Discussion Papers.
    10. Andrea Morone & Simone Nuzzo, 2016. "Market efficiency, trading institutions and information mirages: Evidence from an experimental asset market," Working Papers 2016/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Ruiz-Buforn, Alba & Alfarano, Simone & Camacho-Cuena, Eva & Morone, Andrea, 2018. "Crowding out effect and traders' overreliance on public information in financial markets: a lesson from the lab," MPRA Paper 88866, University Library of Munich, Germany.

  13. Marco Cipriani & Antonio Guarino, 2008. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Working Papers 2009-16, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Kirchler, Michael & Lindner, Florian & Weitzel, Utz, 2020. "Delegated investment decisions and rankings," Journal of Banking & Finance, Elsevier, vol. 120(C).
    2. Cavatorta, Elisa & Guarino, Antonio & Huck, Steffen, 2023. "Social Learning with Partial and Aggregate Information: Experimental Evidence," CEPR Discussion Papers 18461, C.E.P.R. Discussion Papers.
    3. Romain Gauriot Author e-mail: romain.gauriot@nyu.edu & Lionel Page Author e-mail: lionel.page@uts.edu.au, 2021. "How Market Prices React to Information: Evidence from Binary Options Markets," Working Papers 20200058, New York University Abu Dhabi, Department of Social Science, revised Oct 2021.
    4. López-Guzmán, Silvia & Sautua, Santiago I., 2024. "Effects of a fearful emotional state on financial decisions in the presence of prior outcome information," Journal of Economic Psychology, Elsevier, vol. 101(C).
    5. Esponda, Ignacio & Vespa, Emanuel & Yuksel, Sevgi, 2024. "Mental Models and Learning: The Case of Base-Rate Neglect," University of California at San Diego, Economics Working Paper Series qt8cb387t8, Department of Economics, UC San Diego.
    6. Brice Corgnet & Mark DeSantis & David Porter, 2020. "Information Aggregation and the Cognitive Make-up of Traders," Working Papers 20-18, Chapman University, Economic Science Institute.
    7. Roberta De Filippis & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2016. "Updating ambiguous beliefs in a social learning experiment," CeMMAP working papers CWP18/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Orlowski, Lucjan T., 2012. "Financial crisis and extreme market risks: Evidence from Europe," Review of Financial Economics, Elsevier, vol. 21(3), pages 120-130.
    9. Shachat, Jason & Srivinasan, Anand, 2011. "Informational price cascades and non-aggregation of asymmetric information in experimental asset markets," MPRA Paper 30308, University Library of Munich, Germany.
    10. Angrisani, Marco & Cipriani, Marco & Guarino, Antonio, 2023. "Strategic Sophistication and Trading Profits: An Experiment with Professional Traders," CEPR Discussion Papers 17983, C.E.P.R. Discussion Papers.
    11. Ayana T Aspembitova & Ling Feng & Lock Yue Chew, 2021. "Behavioral structure of users in cryptocurrency market," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-19, January.
    12. Andrey Kudryavtsev, 2021. "Effect of Market-Wide Herding on the Next Day's Stock Return," Bulgarian Economic Papers bep-2021-04, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Mar 2021.
    13. Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
    14. Andrea Morone & Giovanni Ferri, 2008. "The Effect of Rating Agencies on Herd Behaviour," SERIES 0022, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Nov 2008.
    15. Chen Lian & Yueran Ma & Carmen Wang, 2019. "Low Interest Rates and Risk-Taking: Evidence from Individual Investment Decisions," The Review of Financial Studies, Society for Financial Studies, vol. 32(6), pages 2107-2148.
    16. Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," PSE-Ecole d'économie de Paris (Postprint) halshs-03325779, HAL.
    17. Choi, Jae Hoon & Munro, David, 2022. "Market liquidity and excess volatility: Theory and experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    18. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    19. Omar Al-Ubaydli & John A. List, 2016. "Field Experiments in Markets," NBER Working Papers 22113, National Bureau of Economic Research, Inc.
    20. Antonio Guarino & Marco Cipriani, 2010. "Estimating a Structural Model of Herd Behavior in Financial Markets," IMF Working Papers 2010/288, International Monetary Fund.
    21. Laura Hueber & Rene Schwaiger, 2021. "Debiasing Through Experience Sampling: The Case of Myopic Loss Aversion," Working Papers 2021-01, Faculty of Economics and Statistics, Universität Innsbruck.
    22. Park, Andreas & Sgroi, Daniel, 2012. "Herding, contrarianism and delay in financial market trading," European Economic Review, Elsevier, vol. 56(6), pages 1020-1037.
    23. Tomasz Makarewicz, 2017. "Contrarian Behavior, Information Networks and Heterogeneous Expectations in an Asset Pricing Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 231-279, August.
    24. De Filippis, Roberta & Guarino, Antonio & Jehiel, Philippe & Kitagawa, Toru, 2022. "Non-Bayesian updating in a social learning experiment," Journal of Economic Theory, Elsevier, vol. 199(C).
    25. Pop, Raluca Elena, 2012. "Herd behavior towards the market index: evidence from Romanian stock exchange," MPRA Paper 51595, University Library of Munich, Germany.
    26. John List & Imran Rasul, 2010. "Field experiments in labor economics," Artefactual Field Experiments 00092, The Field Experiments Website.
    27. Adam Farago & Martin Holmén & Felix Holzmeister & Michael Kirchler & Michael Razen, 2022. "Cognitive Skills and Economic Preferences in the Fund Industry," The Economic Journal, Royal Economic Society, vol. 132(645), pages 1737-1764.
    28. Pengguang Lu, 2023. "A Simple Model of Herding and Contrarian Behaviour with Biased Informed Traders," Economics Discussion Paper Series 2307, Economics, The University of Manchester, revised Dec 2023.
    29. March, Christoph & Ziegelmeyer, Anthony, 2020. "Altruistic observational learning," Journal of Economic Theory, Elsevier, vol. 190(C).
    30. Michael Kirchler & Florian Lindner & Utz Weitzel, 2018. "Delegated Decision Making and Social Competition in the Finance Industry," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2018_08, Max Planck Institute for Research on Collective Goods.
    31. Marco Cipriani & Antonio Guarino & Giovanni Guazzarotti & Federico Tagliati & Sven Fischer, 2018. "Informational Contagion in the Laboratory," Review of Finance, European Finance Association, vol. 22(3), pages 877-904.
    32. Brice Corgnet & Mark Desantis & David Porter, 2021. "Information Aggregation and the Cognitive Make-up of Market Participants," Post-Print hal-03188235, HAL.
    33. Andrey Kudryavtsev & Gil Cohen & Shlomit Hon-Snir, 2013. "“Rational” or “Intuitive”: Are Behavioral Biases Correlated Across Stock Market Investors?," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    34. Felix Holzmeister & Jürgen Huber & Michael Kirchler & Florian Lindner & Utz Weitzel & Stefan Zeisberger, 2020. "What Drives Risk Perception? A Global Survey with Financial Professionals and Laypeople," Management Science, INFORMS, vol. 66(9), pages 3977-4002, September.
    35. Rene Schwaiger & Michael Kirchler & Florian Lindner & Utz Weitzel, 2018. "Determinants of investor expectations and satisfaction. A study with financial professionals," Working Papers 2018-17, Faculty of Economics and Statistics, Universität Innsbruck.
    36. Adam Farago & Martin Holmén & Felix Holzmeister & Michael Kirchler & Michael Razen, 2019. "Cognitive Skills and Economic Preferences in the Fund Industry," Working Papers 2019-16, Faculty of Economics and Statistics, Universität Innsbruck.
    37. Simões Vieira, Elisabete F. & Valente Pereira, Márcia S., 2015. "Herding behaviour and sentiment: Evidence in a small European market," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(1), pages 78-86.
    38. Hintermann, Beat, 2010. "Allowance price drivers in the first phase of the EU ETS," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 43-56, January.
    39. Holzmeister, Felix & Holmén, Martin & Kirchler, Michael & Stefan, Matthias & Wengström, Erik, 2020. "Delegation Decisions in Finance," Working Papers 2020:24, Lund University, Department of Economics.
    40. Timothy King & Dimitrios Koutmos, 2021. "Herding and feedback trading in cryptocurrency markets," Annals of Operations Research, Springer, vol. 300(1), pages 79-96, May.
    41. Syon P. Bhanot & Charles Williamson, 2020. "Financial Incentives and Herding: Evidence from Two Online Experiments," Southern Economic Journal, John Wiley & Sons, vol. 86(4), pages 1559-1575, April.
    42. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Katsuhiko Okada & Yohanes E. Riyanto & Jiahua Zhu, 2022. "Financial Forecasting in the Lab and the Field: Qualified Professionals vs. Smart Students," ISER Discussion Paper 1156r, Institute of Social and Economic Research, Osaka University, revised Sep 2024.
    43. Ilomäki, Jukka & Laurila, Hannu, 2018. "Animal spirits in financial markets: Experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 99-104.
    44. Holzmeister, Felix & Holmén, Martin & Kirchler, Michael & Stefan, Matthias & Wengström, Erik, 2019. "Delegated Decision-Making in Finance," OSF Preprints 3umdf, Center for Open Science.
    45. Chmura, Thorsten & Le, Hang & Nguyen, Kim, 2022. "Herding with leading traders: Evidence from a laboratory social trading platform," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 93-106.
    46. Oliver Schnusenberg & Chung-Ping Loh & Katrin Nihalani, 2013. "The Role of Financial Wellbeing, Sociopolitical Attitude, Self-Interest, and Lifestyle in One’s Attitude Toward Social Health Insurance," Applied Health Economics and Health Policy, Springer, vol. 11(4), pages 369-381, August.
    47. Joohyun Kim & Ohsung Kwon & Duk Hee Lee, 2019. "Observing Cascade Behavior Depending on the Network Topology and Transaction Costs," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 207-225, January.
    48. Anna Bottasso & Sébastien Duchêne & Eric Guerci & Nobuyuki Hanaki & Charles Noussair, 2022. "Higher order risk attitudes of financial experts," Post-Print hal-03664148, HAL.
    49. Yong Shi & Bo Li & Guangle Du, 2021. "Pyramid scheme in stock market: a kind of financial market simulation," Papers 2102.02179, arXiv.org, revised Feb 2021.
    50. Bosman, Ronald & Kräussl, Roman & Mirgorodskaya, Elizaveta, 2017. "Modifier words in the financial press and investor expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 138(C), pages 85-98.
    51. Boortz, Christopher & Kremer, Stephanie & Jurkatis, Simon & Nautz, Dieter, 2014. "Information risk, market stress and institutional herding in financial markets: New evidence through the lens of a simulated model," SFB 649 Discussion Papers 2014-029, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    52. Noemi Schmitt & Frank Westerhoff, 2017. "Herding behaviour and volatility clustering in financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 17(8), pages 1187-1203, August.
    53. Razen, Michael & Kirchler, Michael & Weitzel, Utz, 2020. "Domain-specific risk-taking among finance professionals," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    54. Christoph March & Sebastian Krügel & Anthony Ziegelmeyer, 2012. "Do We Follow Private Information when We Should? Laboratory Evidence on Naive Herding," PSE Working Papers halshs-00671378, HAL.
    55. Michael Kirchler & Florian Lindner & Utz Weitzel, 2016. "Rankings and Risk-Taking in the Finance Industry," Working Papers 2016-02, Faculty of Economics and Statistics, Universität Innsbruck, revised Mar 2018.
    56. Marco Cipriani & Roberta De Filippis & Antonio Guarino & Ryan Kendall, 2020. "Trading by Professional Traders: An Experiment," Staff Reports 939, Federal Reserve Bank of New York.
    57. Hueber, Laura & Schwaiger, Rene, 2022. "Debiasing through experience sampling: The case of myopic loss aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 87-138.
    58. Andrey Kudryavtsev, 2019. "Short-Term Herding Effect On Market Index Returns," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-16, March.
    59. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
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    62. Chung-Ping Loh & Katrin Nihalani & Oliver Schnusenberg, 2012. "Measuring attitude toward social health insurance," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(6), pages 707-722, December.
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  14. Antonio Guarino & Steffen Huck & Heike Harmgart, 2008. "When half the truth is better than the truth: A Theory of aggregate information cascades," WEF Working Papers 0046, ESRC World Economy and Finance Research Programme, Birkbeck, University of London.

    Cited by:

    1. Antonio Guarino & Philippe Jehiel, 2013. "Social Learning with Coarse Inference," American Economic Journal: Microeconomics, American Economic Association, vol. 5(1), pages 147-174, February.
    2. Antonio Guarino & Philippe Jehiel, 2009. "Social Leanring with Course Inference," WEF Working Papers 0050, ESRC World Economy and Finance Research Programme, Birkbeck, University of London.
    3. Antonio Guarino & Antonella Ianni, 2010. "Bayesian Social Learning with Local Interactions," Games, MDPI, vol. 1(4), pages 1-21, October.

  15. Cipriani, Marco & Guarino, Antonio, 2007. "Transaction costs and informational cascades in financial markets: Theory and experimental evidence," Working Paper Series 736, European Central Bank.

    Cited by:

    1. Manganelli, Simone & Wolswijk, Guido, 2007. "Market discipline, financial integration and fiscal rules: what drives spreads in the euro area government bond market?," Working Paper Series 745, European Central Bank.
    2. Jesse Russell, 2012. "Herding and the shifting determinants of exchange rate regime choice," Applied Economics, Taylor & Francis Journals, vol. 44(32), pages 4187-4197, November.
    3. Cipriani, Marco & Guarino, Antonio, 2008. "Transaction costs and informational cascades in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 581-592, December.
    4. Lillo, Felipe & Valdés, Rodrigo, 2016. "Dynamics of financial markets and transaction costs: A graph-based study," Research in International Business and Finance, Elsevier, vol. 38(C), pages 455-465.
    5. J. Ford & D. Kelsey & W. Pang, 2013. "Information and ambiguity: herd and contrarian behaviour in financial markets," Theory and Decision, Springer, vol. 75(1), pages 1-15, July.
    6. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9142, University Library of Munich, Germany.

  16. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," Experimental 0502002, University Library of Munich, Germany.

    Cited by:

    1. Anthony Ziegelmeyer & Christoph March & Sebastian Krügel, 2012. ""Do We Follow Others when We Should? A Simple Test of Rational Expectations": Comment," Jena Economics Research Papers 2012-006, Friedrich-Schiller-University Jena.
    2. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    3. Emilios C. C Galariotis & Spyros I. Spyrou & Wu Rong, 2015. "Herding on fundamental information: A comparative study," Post-Print hal-01092519, HAL.
    4. Marco Angrisani & Antonio Guarino & Steffen Huck & Nathan Larson, 2008. "No-Trade in the Laboratory," WEF Working Papers 0045, ESRC World Economy and Finance Research Programme, Birkbeck, University of London.
    5. Décamps, Jean-Paul & Lovo, Stefano, 2003. "Market Informational Inefficiency, Risk Aversion and Quantity Grid," IDEI Working Papers 177, Institut d'Économie Industrielle (IDEI), Toulouse.
    6. Wang, Peiwen & Chen, Minghua & Wu, Ji & Yan, Yuanyun, 2023. "Do peer effects matter in bank risk? Some cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    7. Yanqiu Jin & Xiuyun Yang & Yunhui Li & Wenjuan Zhang & Limin Wang & Yaoming Wu, 2010. "Ynthesis and Characterization of Nonstructural MG2NI with Replacement Diffusion Method," Modern Applied Science, Canadian Center of Science and Education, vol. 4(8), pages 114-114, August.
    8. Mathias Drehmann & Joerg Oechssler & Andreas Roider, 2002. "Herding and Contrarian Behavior in Financial Markets - An Internet Experiment," Finance 0210005, University Library of Munich, Germany.
    9. Brice Corgnet & Mark DeSantis & David Porter, 2020. "Information Aggregation and the Cognitive Make-up of Traders," Working Papers 20-18, Chapman University, Economic Science Institute.
    10. Roberta De Filippis & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2016. "Updating ambiguous beliefs in a social learning experiment," CeMMAP working papers CWP18/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Tambakis, D.N., 2008. "Feedback Trading and Intermittent Market Turbulence," Cambridge Working Papers in Economics 0847, Faculty of Economics, University of Cambridge.
    12. Shachat, Jason & Srivinasan, Anand, 2011. "Informational price cascades and non-aggregation of asymmetric information in experimental asset markets," MPRA Paper 30308, University Library of Munich, Germany.
    13. Andreas Roider & Andrea Voskort, 2016. "Reputational Herding in Financial Markets: A Laboratory Experiment," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 17(3), pages 244-266, July.
    14. Frederic Koessler & Ch. Noussair & A. Ziegelmeyer, 2005. "Individual Behavior and Beliefs in Experimental Parimutuel Betting Markets," THEMA Working Papers 2005-08, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    15. Ayana T Aspembitova & Ling Feng & Lock Yue Chew, 2021. "Behavioral structure of users in cryptocurrency market," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-19, January.
    16. Choijil, Enkhbayar & Méndez, Christian Espinosa & Wong, Wing-Keung & Vieito, João Paulo & Batmunkh, Munkh-Ulzii, 2022. "Thirty years of herd behavior in financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    17. Andrey Kudryavtsev, 2021. "Effect of Market-Wide Herding on the Next Day's Stock Return," Bulgarian Economic Papers bep-2021-04, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Mar 2021.
    18. Park, Andreas & Sgroi, Daniel, 2016. "Herding and Contrarian Behavior in Financial Markets: An Experimental Analysis," Economic Research Papers 269716, University of Warwick - Department of Economics.
    19. Amy Wenxuan Ding & Shibo Li, 2019. "Herding in the consumption and purchase of digital goods and moderators of the herding bias," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 460-478, May.
    20. Anthony Ziegelmeyer & Frédéric Koessler & Juergen Bracht & Eyal Winter, 2010. "Fragility of Information Cascades: An Experimental Study Using Elicited Beliefs," Post-Print halshs-00754435, HAL.
    21. Andrea Morone & Giovanni Ferri, 2008. "The Effect of Rating Agencies on Herd Behaviour," SERIES 0022, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Nov 2008.
    22. Christoph Brunner & Jacob K. Goeree, 2009. "Wise crowds or wise minorities?," IEW - Working Papers 439, Institute for Empirical Research in Economics - University of Zurich.
    23. Youzong Xu, 2019. "Collective decision-making of voters with heterogeneous levels of rationality," Public Choice, Springer, vol. 178(1), pages 267-287, January.
    24. Gregory DeCoster & William Strange, 2012. "Developers, Herding, and Overbuilding," The Journal of Real Estate Finance and Economics, Springer, vol. 44(1), pages 7-35, January.
    25. Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," PSE-Ecole d'économie de Paris (Postprint) halshs-03325779, HAL.
    26. Baddeley, M. & Burke, C. & Schultz, W. & Tobler, P., 2012. "Herding in Financial Behaviour: A Behavioural and Neuroeconomic Analysis of Individual Differences," Cambridge Working Papers in Economics 1225, Faculty of Economics, University of Cambridge.
    27. Cipriani, Marco & Guarino, Antonio, 2007. "Transaction costs and informational cascades in financial markets: Theory and experimental evidence," Working Paper Series 736, European Central Bank.
    28. Camara, Omar, 2017. "Industry herd behaviour in financing decision making," Journal of Economics and Business, Elsevier, vol. 94(C), pages 32-42.
    29. Francesco Feri & Miguel Ángel Meléndez-Jiménez & Giovanni Ponti & Fernando Vega Redondo, 2008. "Error Cascades in Observational Learning: An Experiment on the Chinos Game," Working Papers 2008-21, Faculty of Economics and Statistics, Universität Innsbruck.
    30. Choi, Jae Hoon & Munro, David, 2022. "Market liquidity and excess volatility: Theory and experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
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    32. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    33. Liangfei Qiu & Asoo Vakharia & Arunima Chhikara, 2019. "Multi-Dimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Working Papers 19-01, NET Institute.
    34. Faheem Aslam & Paulo Ferreira & Haider Ali & Sumera Kauser, 2022. "Herding behavior during the Covid-19 pandemic: a comparison between Asian and European stock markets based on intraday multifractality," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(2), pages 333-359, June.
    35. Jonathan E. Alevy & Michael S. Haigh & John List, 2006. "Information Cascades: Evidence from An Experiment with Financial Market Professionals," NBER Working Papers 12767, National Bureau of Economic Research, Inc.
    36. Youzong Xu & Bo Li, 2017. "Behavioral heterogeneity and financial markets: Locked/crossed quotes under informationally efficient pricing," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1384524-138, January.
    37. Utkarsh Shrivastava & Gyan Prakash & Joydip Dhar & Arti Omar, 2010. "Autoregression and decision making under uncertainty," Modern Applied Science, Canadian Center of Science and Education, vol. 4(8), pages 144-144, August.
    38. Andreas Park & Daniel Sgroi, 2008. "Herding and Contrarianism in a Financial Trading Experiment with Endogenous Timing," Working Papers tecipa-341, University of Toronto, Department of Economics.
    39. Philip Pilkington, 2013. "A Stock-flow Approach to a General Theory of Pricing," Economics Working Paper Archive wp_781, Levy Economics Institute.
    40. Morone, Andrea & Fiore, Annamaria & Sandri, Serena, 2008. "On The Absorbability Of Herd Behaviour And Informational Cascades: An Experimental Analysis," MPRA Paper 6884, University Library of Munich, Germany.
    41. Antonio Guarino & Marco Cipriani, 2010. "Estimating a Structural Model of Herd Behavior in Financial Markets," IMF Working Papers 2010/288, International Monetary Fund.
    42. Meub, Lukas & Proeger, Till & Hüning, Hendrik, 2013. "A comparison of endogenous and exogenous timing in a social learning experiment," University of Göttingen Working Papers in Economics 167, University of Goettingen, Department of Economics.
    43. Decamps, Jean-Paul & Lovo, Stefano, 2006. "Informational cascades with endogenous prices: The role of risk aversion," Journal of Mathematical Economics, Elsevier, vol. 42(1), pages 109-120, February.
    44. Jia, Boxiang & Shen, Dehua & Zhang, Wei, 2022. "Extreme sentiment and herding: Evidence from the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 63(C).
    45. Frédéric Koessler & Charles Noussair & Anthony Ziegelmeyer, 2007. "Information Aggregation and Beliefs in Experimental Parimutuel Betting Markets," Papers on Strategic Interaction 2005-12, Max Planck Institute of Economics, Strategic Interaction Group.
    46. Park, Andreas & Sgroi, Daniel, 2012. "Herding, contrarianism and delay in financial market trading," European Economic Review, Elsevier, vol. 56(6), pages 1020-1037.
    47. Drehmann, Mathias & Oechssler, Jörg & Roider, Andreas, 2004. "Herding with and without Payoff Externalities - An Internet Experiment," Bonn Econ Discussion Papers 15/2004, University of Bonn, Bonn Graduate School of Economics (BGSE).
    48. Cipriani, Marco & Guarino, Antonio, 2008. "Transaction costs and informational cascades in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 581-592, December.
    49. De Filippis, Roberta & Guarino, Antonio & Jehiel, Philippe & Kitagawa, Toru, 2022. "Non-Bayesian updating in a social learning experiment," Journal of Economic Theory, Elsevier, vol. 199(C).
    50. Park, Andreas & Sgroi, Daniel, 2008. "When Herding and Contrarianism Foster Market Efficiency: A Financial Trading Experiment," Economic Research Papers 269852, University of Warwick - Department of Economics.
    51. Etzioni, Amitai, 2010. "Behavioral economics: A methodological note," Journal of Economic Psychology, Elsevier, vol. 31(1), pages 51-54, February.
    52. Pop, Raluca Elena, 2012. "Herd behavior towards the market index: evidence from Romanian stock exchange," MPRA Paper 51595, University Library of Munich, Germany.
    53. Asen Ivanov & Dan Levin & James Peck, 2009. "Hindsight, Foresight, and Insight: An Experimental Study of a Small-Market Investment Game with Common and Private Values," American Economic Review, American Economic Association, vol. 99(4), pages 1484-1507, September.
    54. Bogdan Dima & Laura Raisa MiloÅŸ, 2009. "Testing The Efficiency Market Hypothesis For The Romanian Stock Market," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(11), pages 1-41.
    55. Hui, Wang & Xin-gang, Zhao & Ling-zhi, Ren & Fan, Lu, 2021. "An agent-based modeling approach for analyzing the influence of market participants’ strategic behavior on green certificate trading," Energy, Elsevier, vol. 218(C).
    56. Marco Cipriani & Antonio Guarino & Giovanni Guazzarotti & Federico Tagliati & Sven Fischer, 2018. "Informational Contagion in the Laboratory," Review of Finance, European Finance Association, vol. 22(3), pages 877-904.
    57. Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2022. "Experimental bank runs," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 25, pages 347-361, Edward Elgar Publishing.
      • Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2021. "Experimental Bank Runs," ThE Papers 21/03, Department of Economic Theory and Economic History of the University of Granada..
    58. Brice Corgnet & Mark Desantis & David Porter, 2021. "Information Aggregation and the Cognitive Make-up of Market Participants," Post-Print hal-03188235, HAL.
    59. Andrey Kudryavtsev & Gil Cohen & Shlomit Hon-Snir, 2013. "“Rational” or “Intuitive”: Are Behavioral Biases Correlated Across Stock Market Investors?," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    60. Xiu Chen & Fuhai Hong & Xiaojian Zhao, 2016. "Concentration and Unpredictability of Forecasts in Artificial Investment Games," Economic Growth Centre Working Paper Series 1608, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    61. Sylvain Marsat, 2006. "Does The Consensus Prevail? Experimental Evidence," Working Papers hal-02156562, HAL.
    62. Li, Zhuolei & Diao, Xundi & Wu, Chongfeng, 2022. "The influence of mobile trading on return dispersion and herding behavior," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    63. Van Parys, Jessica & Ash, Elliott, 2018. "Sequential decision-making with group identity," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 1-18.
    64. Efraim Berkovich, 2011. "Search and herding effects in peer-to-peer lending: evidence from prosper.com," Annals of Finance, Springer, vol. 7(3), pages 389-405, August.
    65. Weizsäcker, Georg, 2008. "Do We Follow Others When We Should? A Simple Test of Rational Expectations," IZA Discussion Papers 3616, Institute of Labor Economics (IZA).
    66. Cary Frydman & Ian Krajbich, 2022. "Using Response Times to Infer Others’ Private Information: An Application to Information Cascades," Management Science, INFORMS, vol. 68(4), pages 2970-2986, April.
    67. Lin, Boqiang & Wu, Nan, 2023. "Climate risk disclosure and stock price crash risk: The case of China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 21-34.
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    69. Noussair, C.N. & Tucker, S., 2013. "Experimental Research On Asset Pricing," Discussion Paper 2013-020, Tilburg University, Center for Economic Research.
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    72. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Katsuhiko Okada & Yohanes E. Riyanto & Jiahua Zhu, 2022. "Financial Forecasting in the Lab and the Field: Qualified Professionals vs. Smart Students," ISER Discussion Paper 1156r, Institute of Social and Economic Research, Osaka University, revised Sep 2024.
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    86. Boortz, Christopher, 2016. "Irrational exuberance and herding in financial markets," SFB 649 Discussion Papers 2016-016, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    87. Boortz, Christopher & Kremer, Stephanie & Jurkatis, Simon & Nautz, Dieter, 2014. "Information risk, market stress and institutional herding in financial markets: New evidence through the lens of a simulated model," SFB 649 Discussion Papers 2014-029, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
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    93. Müller, Christian, 2015. "Radical uncertainty: Sources, manifestations and implications," Economics Discussion Papers 2015-41, Kiel Institute for the World Economy (IfW Kiel).
    94. Jim Samuel, 2020. "Information Token Driven Machine Learning for Electronic Markets: Performance Effects in Behavioral Financial Big Data Analytics," Papers 2004.06642, arXiv.org.
    95. Lukas Meub & Till Proeger & Hendrik Hüning, 2017. "A comparison of endogenous and exogenous timing in a social learning experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 143-166, April.
    96. Lopes, Adrian A. & Tasneem, Dina & Viriyavipart, Ajalavat, 2023. "Nudges and compensation: Evaluating experimental evidence on controlling rice straw burning," Ecological Economics, Elsevier, vol. 204(PB).
    97. Marco Cipriani & Roberta De Filippis & Antonio Guarino & Ryan Kendall, 2020. "Trading by Professional Traders: An Experiment," Staff Reports 939, Federal Reserve Bank of New York.
    98. Proto, Eugenio & Sgroi, Daniel, 2017. "Biased beliefs and imperfect information," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 186-202.
    99. Ivanov, Asen & Levin, Dan & Peck, James, 2013. "Behavioral biases in endogenous-timing herding games: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 25-34.
    100. Xiu Chen & Fuhai Hong & Xiaojian Zhao, 2020. "Concentration and variability of forecasts in artificial investment games: an online experiment on WeChat," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 815-847, September.
    101. Andrey Kudryavtsev, 2019. "Short-Term Herding Effect On Market Index Returns," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-16, March.
    102. Duffy, John & Hopkins, Ed & Kornienko, Tatiana, 2021. "Lone wolf or herd animal? Information choice and learning from others," European Economic Review, Elsevier, vol. 134(C).
    103. Qihua Liu & Shan Huang & Liyi Zhang, 2016. "The influence of information cascades on online purchase behaviors of search and experience products," Electronic Commerce Research, Springer, vol. 16(4), pages 553-580, December.
    104. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    105. Saumitra, Bhaduri & Sidharth, Mahapatra, 2012. "Applying an alternative test of herding behavior: a case study of the Indian stock market," MPRA Paper 38014, University Library of Munich, Germany.
    106. Nilkanth Kumar & Nirmal Kumar Raut & Suchita Srinivasan, 2022. "Herd behavior in the choice of motorcycles: Evidence from Nepal," CER-ETH Economics working paper series 22/366, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    107. Christian, Mueller-Kademann, 2009. "Puzzle solver," MPRA Paper 19852, University Library of Munich, Germany.
    108. Pierdzioch Christian & Stadtmann Georg, 2010. "Herdenverhalten von Wechselkursprognostikern? / Herd Behavior of Exchange Rate Forecasters?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(4), pages 436-453, August.
    109. Lopes, Adrian A. & Viriyavipart, Ajalavat & Tasneem, Dina, 2020. "The role of social influence in crop residue management: Evidence from Northern India," Ecological Economics, Elsevier, vol. 169(C).
    110. Sun, Rui & Guo, Junfei & Yu, Wensong, 2023. "Sponsor, institutional investor, and quotation behavior: Theory and evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 411-428.
    111. Ye Hu & Kitty Wang & Ming Chen & Sam Hui, 2021. "Herding Among Retail Shoppers: the Case of Television Shopping Network," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(1), pages 27-40, June.
    112. Pierdzioch, Christian & Schäfer, Dirk & Stadtmann, Georg, 2010. "Fly with the eagles or scratch with the chickens? Zum Herdenverhalten von Wechselkursprognostikern," Discussion Papers 287, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    113. Koessler, Frédéric & Noussair, Charles & Ziegelmeyer, Anthony, 2012. "Information aggregation and belief elicitation in experimental parimutuel betting markets," Journal of Economic Behavior & Organization, Elsevier, vol. 83(2), pages 195-208.

  17. Guarino, Antonio & Huck, Steffen & Jeitschko, Thomas D., 2004. "Can fear cause economic collapse? Insights from an experimental study [Kann Angst zu einem Wirtschaftszusammenbruch führen? Erkenntnisse aus einer experimentellen Studie]," Discussion Papers, Research Unit: Market Processes and Governance SP II 2004-05, WZB Berlin Social Science Center.

    Cited by:

    1. Drehmann, Mathias & Oechssler, Jörg & Roider, Andreas, 2004. "Herding with and without Payoff Externalities - An Internet Experiment," Bonn Econ Discussion Papers 15/2004, University of Bonn, Bonn Graduate School of Economics (BGSE).

Articles

  1. De Filippis, Roberta & Guarino, Antonio & Jehiel, Philippe & Kitagawa, Toru, 2022. "Non-Bayesian updating in a social learning experiment," Journal of Economic Theory, Elsevier, vol. 199(C).
    See citations under working paper version above.
  2. Cipriani, Marco & Guarino, Antonio & Uthemann, Andreas, 2022. "Financial transaction taxes and the informational efficiency of financial markets: A structural estimation," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1044-1072.
    See citations under working paper version above.
  3. Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 13(3), pages 163-197, August.
    See citations under working paper version above.
  4. Marco Cipriani & Antonio Guarino & Giovanni Guazzarotti & Federico Tagliati & Sven Fischer, 2018. "Informational Contagion in the Laboratory," Review of Finance, European Finance Association, vol. 22(3), pages 877-904.
    See citations under working paper version above.
  5. Marco Cipriani & Antonio Guarino, 2014. "Estimating a Structural Model of Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 104(1), pages 224-251, January.
    See citations under working paper version above.
  6. Antonio Guarino & Philippe Jehiel, 2013. "Social Learning with Coarse Inference," American Economic Journal: Microeconomics, American Economic Association, vol. 5(1), pages 147-174, February.
    See citations under working paper version above.
  7. Cipriani, Marco & Gardenal, Gloria & Guarino, Antonio, 2013. "Financial contagion in the laboratory: The cross-market rebalancing channel," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4310-4326.

    Cited by:

    1. Cody Yu-Ling Hsiao & James Morley, 2015. "Debt and Financial Market Contagion," Discussion Papers 2015-02, School of Economics, The University of New South Wales.
    2. Iqbal, Najaf & Naeem, Muhammad Abubakr & Suleman, Muhammed Tahir, 2022. "Quantifying the asymmetric spillovers in sustainable investments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    3. Karim, Sitara & Shafiullah, Muhammad & Naeem, Muhammad Abubakr, 2024. "When one domino falls, others follow: A machine learning analysis of extreme risk spillovers in developed stock markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    4. Tran, Ly Thi Hai & Hoang, Thao Thi Phuong & Tran, Hoa Xuan, 2018. "Stock liquidity and ownership structure during and after the 2008 Global Financial Crisis: Empirical evidence from an emerging market," Emerging Markets Review, Elsevier, vol. 37(C), pages 114-133.
    5. Deng, Chao & Su, Xiaojian & Wang, Gangjin & Peng, Cheng, 2022. "The existence of flight-to-quality under extreme conditions: Evidence from a nonlinear perspective in Chinese stocks and bonds' sectors," Economic Modelling, Elsevier, vol. 113(C).
    6. Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2022. "Experimental bank runs," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 25, pages 347-361, Edward Elgar Publishing.
      • Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2021. "Experimental Bank Runs," ThE Papers 21/03, Department of Economic Theory and Economic History of the University of Granada..
    7. Isabel Trevino, 2020. "Informational Channels of Financial Contagion," Econometrica, Econometric Society, vol. 88(1), pages 297-335, January.
    8. Bayona, Anna & Peia, Oana, 2022. "Financial contagion and the wealth effect: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1184-1202.
    9. Pragidis, I.C. & Aielli, G.P. & Chionis, D. & Schizas, P., 2015. "Contagion effects during financial crisis: Evidence from the Greek sovereign bonds market," Journal of Financial Stability, Elsevier, vol. 18(C), pages 127-138.
    10. Chen, Na & Jin, Xiu, 2020. "Industry risk transmission channels and the spillover effects of specific determinants in China’s stock market: A spatial econometrics approach," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    11. Xu, Xin & Huang, Shupei & Lucey, Brian M. & An, Haizhong, 2023. "The impacts of climate policy uncertainty on stock markets: Comparison between China and the US," International Review of Financial Analysis, Elsevier, vol. 88(C).
    12. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    13. 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.

  8. Marco Cipriani & Riccardo Costantini & Antonio Guarino, 2012. "A Bayesian approach to experimental analysis: trading in a laboratory financial market," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 175-191, September.

    Cited by:

    1. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    2. Rolando Gonzales & Gabriela Aguilera-Lizarazu & Andrea Rojas-Hosse & Patricia Aranda, 2016. "Preference for women but less preference for indigenous women: A lab-field experiment of loan discrimination in a developing economy," Working Papers PIERI 2016-24, PEP-PIERI.
    3. Nicolas Vallois & Dorian Jullien, 2018. "A History of Statistical Methods in Experimental Economics," Post-Print halshs-01651070, HAL.
    4. Kirchkamp, Oliver & Oechssler, Joerg & Sofianos, Andis, 2021. "The Binary Lottery Procedure does not induce risk neutrality in the Holt & Laury and Eckel & Grossman tasks," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 348-369.
    5. Rolando Gonzales Martínez & Gabriela Aguilera‐Lizarazu & Andrea Rojas‐Hosse & Patricia Aranda Blanco, 2020. "The interaction effect of gender and ethnicity in loan approval: A Bayesian estimation with data from a laboratory field experiment," Review of Development Economics, Wiley Blackwell, vol. 24(3), pages 726-749, August.
    6. Seuk Yen Phoong, 2013. "Rubber Price Effect on Exchange Rate: A Bayesian Mixture Model Approach," Information Management and Business Review, AMH International, vol. 5(6), pages 263-269.
    7. Nicolas Vallois & Dorian Jullien, 2017. "Estimating Rationality in Economics: A History of Statistical Methods in Experimental Economics," GREDEG Working Papers 2017-20, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

  9. Angrisani Marco & Guarino Antonio & Huck Steffen & Larson Nathan C, 2011. "No-Trade in the Laboratory," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 11(1), pages 1-58, April.
    See citations under working paper version above.
  10. Guarino, Antonio & Harmgart, Heike & Huck, Steffen, 2011. "Aggregate information cascades," Games and Economic Behavior, Elsevier, vol. 73(1), pages 167-185, September.

    Cited by:

    1. Ruomeng Cui & Dennis J. Zhang & Achal Bassamboo, 2019. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," Management Science, INFORMS, vol. 65(3), pages 1216-1235, March.
    2. Brice Corgnet & Mark DeSantis & David Porter, 2020. "Information Aggregation and the Cognitive Make-up of Traders," Working Papers 20-18, Chapman University, Economic Science Institute.
    3. Cao, Qian & Li, Jianbiao & Niu, Xiaofei, 2019. "The role of overconfidence in overweighting private information: Does gender matter?," EconStor Preprints 203448, ZBW - Leibniz Information Centre for Economics.
    4. Liangfei Qiu & Asoo Vakharia & Arunima Chhikara, 2019. "Multi-Dimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Working Papers 19-01, NET Institute.
    5. Wenjie Dai & Xin Wang & Zengru Di & Jinshan Wu, 2014. "Logical Gaps in the Approximate Solutions of the Social Learning Game and an Exact Solution," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-18, December.
    6. James C.D. Fisher & John Wooders, 2015. "Interacting Information Cascades: On the Movement of Conventions Between Groups," Working Paper Series 27, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    7. Ilai Bistritz & Nasimeh Heydaribeni & Achilleas Anastasopoulos, 2019. "Do Informational Cascades Happen with Non-myopic Agents?," Papers 1905.01327, arXiv.org, revised Jul 2022.
    8. Hu, Ju, 2020. "On the existence of the ex post symmetric random entry model," Journal of Mathematical Economics, Elsevier, vol. 90(C), pages 42-47.
    9. Brice Corgnet & Mark Desantis & David Porter, 2021. "Information Aggregation and the Cognitive Make-up of Market Participants," Post-Print hal-03188235, HAL.
    10. Weizsäcker, Georg, 2008. "Do We Follow Others When We Should? A Simple Test of Rational Expectations," IZA Discussion Papers 3616, Institute of Labor Economics (IZA).
    11. Cary Frydman & Ian Krajbich, 2022. "Using Response Times to Infer Others’ Private Information: An Application to Information Cascades," Management Science, INFORMS, vol. 68(4), pages 2970-2986, April.
    12. Ignacio Monzon & Michael Rapp, 2011. "Observational Learning with Position Uncertainty," Carlo Alberto Notebooks 206, Collegio Carlo Alberto.
    13. Li Chen & Yiangos Papanastasiou, 2021. "Seeding the Herd: Pricing and Welfare Effects of Social Learning Manipulation," Management Science, INFORMS, vol. 67(11), pages 6734-6750, November.
    14. Herrera, Helios & Hörner, Johannes, 2013. "Biased social learning," Games and Economic Behavior, Elsevier, vol. 80(C), pages 131-146.
    15. Antonio Guarino & Steffen Huck & Heike Harmgart, 2008. "When half the truth is better than the truth: A Theory of aggregate information cascades," WEF Working Papers 0046, ESRC World Economy and Finance Research Programme, Birkbeck, University of London.
    16. Vincent Mak & Rami Zwick, 2014. "Experimenting and learning with localized direct communication," Experimental Economics, Springer;Economic Science Association, vol. 17(2), pages 262-284, June.
    17. Parakhonyak, Alexei & Vikander, Nick, 2023. "Information design through scarcity and social learning," Journal of Economic Theory, Elsevier, vol. 207(C).

  11. Antonio Guarino & Antonella Ianni, 2010. "Bayesian Social Learning with Local Interactions," Games, MDPI, vol. 1(4), pages 1-21, October.

    Cited by:

    1. Ilan Lobel & Evan Sadler, 2016. "Preferences, Homophily, and Social Learning," Operations Research, INFORMS, vol. 64(3), pages 564-584, June.
    2. Ilan Lobel & Evan Sadler, 2013. "Preferences, Homophily, and Social Learning," Working Papers 13-01, NET Institute.

  12. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    See citations under working paper version above.
  13. Cipriani, Marco & Guarino, Antonio, 2008. "Transaction costs and informational cascades in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 581-592, December.

    Cited by:

    1. Marco Cipriani & Antonio Guarino & Andreas Uthemann, 2021. "Financial Transaction Taxes and the Informational Efficiency of Financial Markets: A Structural Estimation," Staff Reports 993, Federal Reserve Bank of New York.
    2. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    3. Griffin, Paul A. & Lont, David H., 2018. "Game changer? The impact of the VW emission-cheating scandal on the interrelation between large automakers’ equity and credit markets," Journal of Contemporary Accounting and Economics, Elsevier, vol. 14(2), pages 179-196.
    4. Rosenthal, Dale W.R. & Thomas, Nordia Diana Marie, 2012. "Transact taxes in a price maker/taker market," MPRA Paper 40556, University Library of Munich, Germany.
    5. Manganelli, Simone & Wolswijk, Guido, 2007. "Market discipline, financial integration and fiscal rules: what drives spreads in the euro area government bond market?," Working Paper Series 745, European Central Bank.
    6. Paul J. Healy & John Conlon & Yeochang Yoon, 2016. "Information Cascades with Informative Ratings: An Experimental Test," Working Papers 16-05, Ohio State University, Department of Economics.
    7. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    8. Cabrales, Antonio; Gale, Douglas; Gottardi, Piero, 2015. "Financial Contagion in Networks," Economics Working Papers ECO2015/01, European University Institute.
    9. Tran, Ly Thi Hai & Hoang, Thao Thi Phuong & Tran, Hoa Xuan, 2018. "Stock liquidity and ownership structure during and after the 2008 Global Financial Crisis: Empirical evidence from an emerging market," Emerging Markets Review, Elsevier, vol. 37(C), pages 114-133.
    10. Bousselmi, Wael & Sentis, Patrick & Willinger, Marc, 2019. "How do markets react to (un)expected fundamental value shocks? An experimental analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 90-113.
    11. Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2024. "Information Cascades and Social Learning," Journal of Economic Literature, American Economic Association, vol. 62(3), pages 1040-1093, September.
    12. Jürgen Huber & Michael Kirchler & Daniel Kleinlercher & Matthias Sutter, 2014. "Market vs. residence principle : experimental evidence on the effects of a financial transaction tax," Economics Working Papers ECO2014/03, European University Institute.
    13. J. Ford & D. Kelsey & W. Pang, 2013. "Information and ambiguity: herd and contrarian behaviour in financial markets," Theory and Decision, Springer, vol. 75(1), pages 1-15, July.
    14. Simões Vieira, Elisabete F. & Valente Pereira, Márcia S., 2015. "Herding behaviour and sentiment: Evidence in a small European market," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(1), pages 78-86.
    15. Demirer, Riza & Kutan, Ali M. & Chen, Chun-Da, 2010. "Do investors herd in emerging stock markets?: Evidence from the Taiwanese market," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 283-295, November.
    16. Neil McCulloch & Grazia Pacillo, 2010. "The Tobin Tax A Review of the Evidence," Working Paper Series 1611, Department of Economics, University of Sussex Business School.
    17. Hanke, Michael & Huber, Jürgen & Kirchler, Michael & Sutter, Matthias, 2010. "The economic consequences of a Tobin tax--An experimental analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 74(1-2), pages 58-71, May.
    18. Park, Jin Suk & Newaz, Mohammad Khaleq, 2021. "Liquidity and short-run predictability: Evidence from international stock markets," Global Finance Journal, Elsevier, vol. 50(C).
    19. Joohyun Kim & Ohsung Kwon & Duk Hee Lee, 2019. "Observing Cascade Behavior Depending on the Network Topology and Transaction Costs," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 207-225, January.
    20. Jürgen Huber & Michael Kirchler & Daniel Kleinlercher & Matthias Sutter, 2017. "Market versus Residence Principle: Experimental Evidence on the Effects of a Financial Transaction Tax," Economic Journal, Royal Economic Society, vol. 127(605), pages 610-631, October.
    21. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9142, University Library of Munich, Germany.
    22. Andrea Morone & Pasquale Marcello Falcone & Simone Nuzzo & Piergiuseppe Morone, 2020. "Does a ‘financial transaction tax’ drive out information mirages? An experimental analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 793-820, October.

  14. Cipriani Marco & Guarino Antonio, 2008. "Herd Behavior and Contagion in Financial Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-56, October.
    See citations under working paper version above.
  15. Guarino, Antonio & Huck, Steffen & Jeitschko, Thomas D., 2006. "Averting economic collapse and the solipsism bias," Games and Economic Behavior, Elsevier, vol. 57(2), pages 264-285, November.

    Cited by:

    1. Gong, Zheng & Tian, Feng & Xu, Boyan, 2013. "Limited Information Aggregation and Externalities - A Simple Model of Metastable Market," MPRA Paper 52143, University Library of Munich, Germany.
    2. Florian Artinger & Filippos Exadaktylos & Hannes Koppel & Lauri Sääksvuori, 2010. "Applying Quadratic Scoring Rule transparently in multiple choice settings: A note," ThE Papers 10/01, Department of Economic Theory and Economic History of the University of Granada..
    3. Fehr, Dietmar, 2017. "Costly communication and learning from failure in organizational coordination," European Economic Review, Elsevier, vol. 93(C), pages 106-122.
    4. Gerhard Riener & Alexander Schacht, 2011. "Group Identity and Discrimination in Small Markets: Asymmetry of In-Group Favors," Jena Economics Research Papers 2011-043, Friedrich-Schiller-University Jena.
    5. Riener, Gerhard & Wiederhold, Simon, 2012. "Team building and hidden costs of control," DICE Discussion Papers 66, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    6. Duffy, John & Lafky, Jonathan, 2021. "Social conformity under evolving private preferences," Games and Economic Behavior, Elsevier, vol. 128(C), pages 104-124.

  16. Marco Cipriani & Antonio Guarino, 2005. "Noise Trading in a Laboratory Financial Market: A Maximum Likelihood Approach," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 315-321, 04/05.

    Cited by:

    1. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    2. Cipriani, Marco & Guarino, Antonio, 2008. "Transaction costs and informational cascades in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 581-592, December.

  17. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, vol. 95(5), pages 1427-1443, December.
    See citations under working paper version above.
  18. A. Guarino & M. Iacopetta, 2003. "A Conversation with Will Baumol on Capitalism, lnnovation and Growth," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 111(1), pages 3-15.

    Cited by:

    1. Gawel Erik & Bretschneider Wolfgang, 2012. "Recht auf Wasser – eine institutionenökonomische Perspektive / The right to water – an institutional economics perspective," ORDO. Jahrbuch für die Ordnung von Wirtschaft und Gesellschaft, De Gruyter, vol. 63(1), pages 325-364, January.
    2. Gawel, Erik & Bretschneider, Wolfgang, 2011. "Recht auf Wasser - eine ökonomische Perspektive," UFZ Discussion Papers 3/2011, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).

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