The Instability of a Heterogeneous Cobweb economy: a Strategy Experiment on Expectation Formation

Which strategies do agents use when forming expectations about future prices, and how often do combinations of these strategies lead to stable or unstable outcomes? To answer these questions we performed a four-round strategy experiment in a cobweb economy. Each market consisted of 20 periods and in each period strategies had to forecast next period's price. It was common knowledge that the realized market price was a function of all individual expectations, but subjects did not know the underlying market equilibrium equations. Subjects gained experience in a 'normal' experiment before submitting their first strategy. All strategies were programmed and after each round the subjects received feedback about the relative performance of their strategy, and were allowed to revise their strategy for the next round. Subjects use a wide variety of different strategies. Over the rounds quadratic forecasting errors decrease and realized market prices move to a neighborhood of the rational expectations (RE) steady state, but at the same time the complexity of the price fluctuations increases. Convergence to the unique RE steady state occurs in less than 10% of all cases. In the final round 60% of the price fluctuations appears to be chaotic. Strategy simulations with homogeneous agents typically show regular behaviour, with prices converging to a steady state or to a 'far from the steady state' stable cycle. Heterogeneous interaction of simple prediction strategies thus seems to be the main source of the endogenous price fluctuations, frequently leading to a boundedly rational equilibrium of 'close to the steady state chaos'.

[1]  T. Sargent The Conquest of American Inflation , 1999 .

[2]  Cars H. Hommes,et al.  Dynamics of the cobweb model with adaptive expectations and nonlinear supply and demand , 1994 .

[3]  J. Muth Rational Expectations and the Theory of Price Movements , 1961 .

[4]  M. Cripps The theory of learning in games. , 1999 .

[5]  Marc Nerlove,et al.  Adaptive Expectations and Cobweb Phenomena , 1958 .

[6]  Jean-Michel Grandmont,et al.  Expectations formation and stability of large socioeconomic systems , 1998 .

[7]  R. Selten,et al.  Duopoly Strategies Programmed by Experienced Players , 1997 .

[8]  Mauro Gallegati,et al.  Interaction and Market Structure , 2000 .

[9]  T. Lux Herd Behaviour, Bubbles and Crashes , 1995 .

[10]  J. Kagel,et al.  Handbook of Experimental Economics , 1997 .

[11]  Drew Fudenberg,et al.  Learning in Games , 1998 .

[12]  S. Sunder,et al.  Indeterminacy of Equilibria in a Hyperinflationary World: Experimental Evidence , 1993 .

[13]  Alan Kirman,et al.  Ants, Rationality, and Recruitment , 1993 .

[14]  G. Laroque,et al.  Economic dynamics with learning : some instability examples , 1990 .

[15]  M. Bray,et al.  Rational Expectations Equilibria, Learning, and Model Specification , 1986 .

[16]  Ramon Marimon,et al.  Expectationally-driven market volatility: An experimental study , 1993 .

[17]  Joep Sonnemans,et al.  Decisions and strategies in a sequential search experiment , 2000 .

[18]  William A. Brock,et al.  A rational route to randomness , 1997 .

[19]  T. Sargent Bounded rationality in macroeconomics , 1993 .

[20]  W. Brock,et al.  Heterogeneous beliefs and routes to chaos in a simple asset pricing model , 1998 .

[21]  Joep Sonnemans,et al.  Expectations driven price volatility in an experimental coweb economy , 1999 .

[22]  D. Fudenberg,et al.  The Theory of Learning in Games , 1998 .

[23]  Carl Chiarella,et al.  The cobweb model: Its instability and the onset of chaos , 1988 .

[24]  Mark P. Taylor,et al.  Charts, Noise and Fundamentals in the London Foreign Exchange Market , 1990 .

[25]  R. Palmer,et al.  Asset Pricing Under Endogenous Expectations in an Artificial Stock Market , 1996 .

[26]  W. Arthur,et al.  The Economy as an Evolving Complex System II , 1988 .

[27]  A. Wolf,et al.  Determining Lyapunov exponents from a time series , 1985 .

[28]  S. Sunder Experimental Asset Markets: A Survey , 1992 .

[29]  W. Hamilton,et al.  The evolution of cooperation. , 1984, Science.

[30]  William A. Barnett,et al.  Equilibrium Theory and Applications : Proceedings of the Sixth International Symposium in Economic Theory and Econometrics , 1991 .

[31]  Theo Offerman,et al.  Cooperation in an Overlapping Generations Experiment , 1999, Games Econ. Behav..

[32]  C. Hommes,et al.  Expectation formation in a cobweb economy, some one person experiments , 1998 .

[33]  J. Sonnemans,et al.  Strategies of search , 1998 .

[34]  Jasmina Arifovic Genetic algorithm learning and the cobweb model , 1994 .

[35]  C. Chiarella The cobweb model: Its instability and the onset of chaos , 1988 .

[36]  Kenneth A. Froot,et al.  Using Survey Data to Test Some Standard Propositions Regarding Exchange Rate Expectations , 1985 .

[37]  Gerhard Sorger,et al.  CONSISTENT EXPECTATIONS EQUILIBRIA , 1998, Macroeconomic Dynamics.

[38]  Jordi Brandts,et al.  Cooperation and Noise in Public Goods Experiments: Applying the Contribution Function Approach , 1999 .

[39]  Richard Topol,et al.  Bubbles and Volatility of Stock Prices: Effect of Mimetic Contagion , 1991 .

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

[41]  C. Hommes Cobweb dynamics under bounded rationality , 1999 .

[42]  L. Summers,et al.  Noise Trader Risk in Financial Markets , 1990, Journal of Political Economy.

[43]  Experimental Duopoly Markets with Demand Inertia: Game-Playing Experiments and the Strategy Method , 1992 .

[44]  R. Shiller Measuring Bubble Expectations and Investor Confidence , 1999 .