INTERESTS
Finance, Economic Theory, Experimental Economics
An Issue Dedicated to Konrad Mierendorff: Introduction (with Martin Cripps and Vasiliki Skreta)
European Economic Review, 2025, 175, 105001
Douglas Gale’s Contribution to Social Learning, Decision Under Risk and Uncertainty, Monotone Games and Networks (with Syngjoo Choi, Marco Cipriani, and Shachar Kariv)
Journal of Financial Intermediation, 2025, 62, 101141
Social Learning with Partial and Aggregate Information: Experimental Evidence (with Elisa Cavatorta and Steffen Huck)
Games and Economic Behavior, 2024, 146, 292-307.
Non-Cognitive Skills at the Time of COVID-19: An Experiment with Professional Traders and Students (with Marco Angrisani, Marco Cipriani, Ryan Kendall, and Julen Ortiz de Zarate)
Quarterly Journal of Finance, 2024, 14 (2).
Financial Transaction Taxes and the Informational Efficiency of Financial Markets: A Structural Estimation (with Marco Cipriani and Andreas Uthemann)
Journal of Financial Economics, 2022, 146 (3), 1044-1072.
Non-Bayesian Updating in a Social Learning Experiment (with Roberta De Filippis, Philippe Jehiel, and Toru Kitagawa)
Journal of Economic Theory, 2022, 199.
Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment (with Marco Angrisani, Philippe Jehiel, and Toru Kitagawa)
American Economic Journal: Microeconomics, 2021, 13 (3), 163-197.
Informational Contagion in the Laboratory (with Marco Cipriani, Giovanni Guazzarotti, Federico Tagliati, and Sven Fischer)
Review of Finance, 2018, 22 (3), 877-904.
Estimating a Structural Model of Herd Behavipor in Financial Markets (with Marco Cipriani)
American Economic Review, 2014, 104 (1), 224-251.
Social Learning with Coarse Inference (with Philippe Jehiel)
American Economic Journal: Microeconomics, 2013, 5 (1), 147-174.
Financial Contagion in the Laboratory: The Cross-market Rebalancing Channel (with Marco Cipriani and Gloria Gardenal)
Journal of Banking & Finance, 2013, 37(11), 4310-4326.
A Bayesian Approach to Experimental Analysis: Trading in a Laboratory Financial Market (with Marco Cipriani and Riccardo Costantini)
Review of Economic Design, 2012, 16, 175-191.
Aggregate Information Cascades (with Heike Harmgart and Steffen Huck)
Games and Economic Behavior, 2011, 73(1), 167-185.
No-trade in the Laboratory (with Marco Angrisani, Steffen Huck, and Nathan Larson)
The BE Journal of Theoretical Economics, 2011, 11 (1).
Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals (with Marco Cipriani)
Journal of the European Economic Association, 2009, 7 (1), 206-233.
Herd Behavior and Contagion in Financial Markets (with Marco Cipriani)
The BE Journal of Theoretical Economics, 2008, 8 (1).
Transaction Costs and Informational Cascades in Financial Markets (with Marco Cipriani)
Journal of Economic Behavior & Organization, 2008, 68 (3-4), 581-592.
Averting Economic Collapse and the Solipsism Bias (with Steffen Huck and Thomas Jeitschko)
Games and Economic Behavior, 2006, 57(2), 264-285.
Herd Behavior in a Laboratory Financial Market (with Marco Cipriani)
American Economic Review, 2005, 95 (5), 1427-1443.
Noise Trading in a Laboratory Financial Market: A Maximum Likelihood Approach (with Marco Cipriani)
Journal of the European Economic Association, 2005, 3 (2-3), 315-321.
Extrapolation and Rational Inattention: Evidence from Chinese Mutual Funds (with Gang Wang, Yang Yu)
Trading by Professional Traders: An Experiment (with Marco Angrisani, Marco Cipriani, Roberta De Filippis, and Ryan Kendall)
Q-Learning and Algorithmic Market Making: Loss-free, Collusive, or Competitive Prices? (with Philippe Jehiel and James Symons-Hicks)
Strategic Sophistication and Trading Profits: An Experiment with Professional Traders (with Marco Angrisani and Marco Cipriani)
FRB of New York Staff Report, 1044.
Risk Preferences at the Time of COVID-19: An Experiment with Professional Traders and Students (with Marco Angrisani, Marco Cipriani, Ryan Kendall, and Julen Ortiz de Zarate Pina)
FRB of New York Staff Report, 927.
UCL Grant for the Social Science Plus: Artificial Intelligence and Financial Markets: A Computational-Neuro-Economics Approach (with Benedetto De Martino and Micro Musolesi)