Bubbles in Hybrid Markets - How Expectations About Algorithmic Trading Affect Human Trading

Bubbles are omnipresent in lab experiments with asset markets. Most of these experiments were conducted in environments with only human traders. Today markets are substantially determined by algorithmic traders. Here we use a laboratory experiment to measure changes of human trading behavior if these humans expect algorithmic traders. To disentangle the direct effect of algorithmic traders we use a design where we manipulate only the expectations of human traders. We find clearly smaller bubbles if human traders expect algorithmic traders to be present.

[1]  Kingsley Y. L. Fong,et al.  Algorithmic Trading and Market Quality: International Evidence , 2015, Journal of Financial and Quantitative Analysis.

[2]  M. Villeval,et al.  Bubbles and incentives: an experiment on asset markets , 2012, Economic and Political Studies.

[3]  Utpal Bhattacharya,et al.  INSIDERS, OUTSIDERS AND MARKET BREAKDOWNS , 1991 .

[4]  Markus Glaser,et al.  Overconfidence and trading volume , 2003 .

[5]  George A. Akerlof,et al.  The Market for “Lemons”: Quality Uncertainty and the Market Mechanism , 1970 .

[6]  Bruno Biais,et al.  Judgmental Overconfidence, Self-Monitoring and Trading Performance in an Experimental Financial Market , 2005 .

[7]  Brad M. Barber,et al.  Boys Will Be Boys: Gender, Overconfidence, and Common Stock Investment , 1998 .

[8]  Stephen Morris,et al.  TRADE WITH HETEROGENEOUS PRIOR BELIEFS AND ASYMMETRIC INFORMATION , 1994 .

[9]  Matthias Sutter,et al.  Bubbles and Information: An Experiment , 2008, Manag. Sci..

[10]  Ben Greiner,et al.  An Online Recruitment System for Economic Experiments , 2004 .

[11]  James K Rilling,et al.  The neural correlates of theory of mind within interpersonal interactions , 2004, NeuroImage.

[12]  Rakesh K. Sarin,et al.  Effects of ambiguity in market experiments , 1993 .

[13]  P. Protter,et al.  A Dysfunctional Role of High Frequency Trading in Electronic Markets , 2011 .

[14]  J. Huber,et al.  Bubble measures in experimental asset markets , 2010 .

[15]  G. Cheng,et al.  How do we think machines think? An fMRI study of alleged competition with an artificial intelligence , 2012, Front. Hum. Neurosci..

[16]  A. Falk,et al.  Individual Risk Attitudes: Measurement, Determinants and Behavioral Consequences , 2009 .

[17]  Charles M. Jones,et al.  Does Algorithmic Trading Improve Liquidity? , 2010 .

[18]  M. Hedegaard,et al.  To See is to Believe: Common Expectations in Experimental Asset Markets , 2014, SSRN Electronic Journal.

[19]  O. Linton Local Regression Models , 2010 .

[20]  Gerlinde Fellner,et al.  Judgmental overconfidence: Three measures, one bias? , 2012 .

[21]  Jens Grossklags,et al.  Software agents and market (in) efficiency: a human trader experiment , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[22]  Ronald R. King,et al.  The Robustness of Bubbles and Crashes in Experimental Stock Markets , 1993 .

[23]  Rajarshi Das,et al.  Agent-Human Interactions in the Continuous Double Auction , 2001, IJCAI.

[24]  Vera Hoorens,et al.  Self-enhancement and Superiority Biases in Social Comparison , 1993 .

[25]  U. Weitzel,et al.  Does Ambiguity Aversion Survive in Experimental Asset Markets? , 2014 .

[26]  F. Binkofski,et al.  Can Machines Think? Interaction and Perspective Taking with Robots Investigated via fMRI , 2008, PloS one.

[27]  M. Kocher,et al.  Selection into Auctions for Risky and Ambiguous Prospects , 2013 .

[28]  V. Smith,et al.  Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets , 1988 .

[29]  Boris Maciejovsky,et al.  Risk Attitude and Market Behavior: Evidence from Experimental Asset Markets , 2002 .

[30]  D. Ellsberg Decision, probability, and utility: Risk, ambiguity, and the Savage axioms , 1961 .

[31]  Stefan Palan A Review of Bubbles and Crashes in Experimental Asset Markets , 2013 .

[32]  Sebastian Krügel,et al.  Judgmental overconfidence and trading activity , 2014 .

[33]  C. Noussair,et al.  Emotional State and Market Behavior , 2013 .

[34]  Daniel Houser,et al.  A functional imaging study of cooperation in two-person reciprocal exchange , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[35]  Eduardo B. Andrade,et al.  Bubbling with Excitement: An Experiment , 2012 .

[36]  E. Akiyama,et al.  It is Not Just Confusion! Strategic Uncertainty in an Experimental Asset Market , 2013 .

[37]  C. Nass,et al.  Machines and Mindlessness , 2000 .

[38]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[39]  D. Moore,et al.  The trouble with overconfidence. , 2008, Psychological review.

[40]  Charles A. Holt,et al.  Risk Aversion and Incentive Effects , 2002 .

[41]  Clara Vega,et al.  Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market: Rise of the Machines , 2014 .

[42]  Terrance Odean Do Investors Trade Too Much? , 1998 .

[43]  Ulrich Schmidt,et al.  Overconfidence and Bubbles in Experimental Asset Markets , 2016 .

[44]  Colin Camerer Do Biases in Probability Judgment Matter in Markets? Experimental Evidence , 1987 .

[45]  U. Fischbacher z-Tree: Zurich toolbox for ready-made economic experiments , 1999 .

[46]  Regan L. Mandryk,et al.  Using psychophysiological techniques to measure user experience with entertainment technologies , 2006, Behav. Inf. Technol..

[47]  M. Siegrist,et al.  Investing in stocks: The influence of financial risk attitude and values-related money and stock market attitudes , 2006 .

[48]  J. Michailova Overconfidence, risk aversion and (economic) behavior of individual traders in experimental asset markets , 2010 .

[49]  Dave Cliff,et al.  Human-Agent Auction Interactions: Adaptive-Aggressive Agents Dominate , 2011, IJCAI.

[50]  Carsten Schmidt,et al.  On the ingredients for bubble formation: Informed traders and communication , 2011 .

[51]  Bartholomäus Wissmath,et al.  Playing online games against computer- vs. human-controlled opponents: Effects on presence, flow, and enjoyment , 2008, Comput. Hum. Behav..

[52]  M. Kirchler,et al.  Thar She Bursts: Reducing Confusion Reduces Bubbles , 2012 .

[53]  Markus Gsell,et al.  Assessing the Impact of Algorithmic Trading on Markets: A Simulation Approach , 2008, ECIS.

[54]  Laure Cabantous,et al.  Do Positive Illusions Predict Overconfidence in Judgment? A Test Using Interval Production and Probability Evaluation Measures of Miscalibration , 2011 .