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Agent-based economic models and econometrics

  • Shu-Heng Chen (a1), Chia-Ling Chang (a1) and Ye-Rong Du (a1)

Abstract

This paper reviews the development of agent-based (computational) economics (ACE) from an econometrics viewpoint. The review comprises three stages, characterizing the past, the present, and the future of this development. The first two stages can be interpreted as an attempt to build the econometric foundation of ACE, and, through that, enrich its empirical content. The second stage may then invoke a reverse reflection on the possible agent-based foundation of econometrics. While ACE modeling has been applied to different branches of economics, the one, and probably the only one, which is able to provide evidence of this three-stage development is finance or financial economics. We will, therefore, focus our review only on the literature of agent-based computational finance, or, more specifically, the agent-based modeling of financial markets.

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Alfarano, S., Lux, T., Wagner, F. 2005. Estimation of agent-based models: the case of an asymmetric herding model. Computational Economics 26(1), 1949.
Alfarano, S., Lux, T., Wagner, F. 2006. Estimation of a simple agent-based model of financial markets: an application to Australian stock and foreign exchange data. Physica A 370(1), 3842.
Alfarano, S., Lux, T., Wagner, F. 2007. Empirical validation of stochastic models of interacting agents: a ‘maximally skewed’ noise trader model. The European Physical Journal B 55(2), 183187.
Allen, H., Taylor, M. 1990. Charts, noise and fundamentals in the London foreign exchange market. Economic Journal 100, 4959.
Amilon, H. 2008. Estimation of an adaptive stock market model with heterogeneous agents. Journal of Empirical Finance 15, 342362.
Anufriev, M., Panchenko, V. 2009. Asset prices, traders’ behavior, and market design. Journal of Economic Dynamics and Control 33, 10731090. Available as the CeNDEF Working paper 07-14, University of Amsterdam.
Aoki, M. 2002. Open models of share markets with two dominant types of participants. Journal of Economic Behavior and Organization 49(2), 199216.
Arifovic, J., Gencay, R. 2000. Statistical properties of genetic learning in a model of exchange rate. Journal of Economic Dynamics and Control 24(5–7), 9811005.
Arifovic, J., Maschek, M. 2006. Revisiting individual evolutionary learning in the cobweb model—an illustration of the virtual spite-effect. Computational Economics 28(4), 333354.
Arthur, W., Holland, J., LeBaron, B., Palmer, R., Tayler, P. 1997. Asset pricing under endogenous expectations in an artificial stock market. In The Economy as an Evolving Complex System II, Arthur, B., Durlauf, S. & Lane, D. (eds). Addison-Wesley, 1544.
Barber, B., Odean, T. 2000. Trading is hazardous to your wealth: the common stock investment performance of individual investors. Journal of Finance 55(2), 773806.
Barker, T., Pesaran, H. 1990 (eds). Disaggregation in Econometric Modeling. Routledge.
Blinder, A. 1983. A Skeptical Note on the New Econometrics. NBER Working Paper Series 1092.
Blume, L. 1993. The statistical mechanics of strategic interaction. Games and Economic Behavior 5(3), 387424.
Boswijk, P., Hommes, C., Manzan, S. 2007. Behavioral heterogeneity in stock prices. Journal of Economic Dynamics and Control 31(6), 19381970.
Bottazzi, G., Dosi, G., Rebesco, I. 2005. Institutional architectures and behavioral ecologies in the dynamics of financial markets. Journal of Mathematical Economics 41(1–2), 197228.
Bovier, A., Cerny, J., Hryniv, O. 2006. The opinion game: stock price evolution from microscopic market modeling. International Journal of Theoretical and Applied Finance 9(1), 91111.
Brenner, T. 2006. Agent learning representation: advice on modelling economic learning. In Handbook of Computational Economics, Tesfatsion, L. & Judd, K. (eds). Elsevier, 881947.
Brock, W., Hommes, C. 1997. A rational route to randomness. Econometrica 65, 10591095.
Brock, W., Hommes, C. 1998. Heterogeneous beliefs and routes to chaos in a simple asset pricing model. Journal of Economic Dynamics and Control 22(8–9), 12351274.
Brock, W., Hommes, C., Wagener, F. 2005. Evolutionary dynamics in markets with many trader types. Journal of Mathematical Economics 41(1–2), 742.
Casella, A., Thoron, S., Trannoy, A. 2007. Alan Kirman: a non-representative economist: introduction of the special issue of the journal of economic behavior and organization in honor of Alan Kirman. Journal of Economic Behavior and Organization 64(3–4), 269274.
Challet, D., Galla, T. 2005. Price return autocorrelation and predictability in agent-based models of financial markets. Quantitative Finance 5(6), 569576.
Challet, D., Zhang, Y.-C. 1997. Emergence of cooperation and organization in an evolutionary game. Physica A 246(3–4), 407418.
Chan, N., LeBaron, B., Lo, A., Poggio, T. 1999. Agent-based Models of Financial Markets: A Comparison with Experimental Markets. Unpublished working paper, MIT Artificial Markets Project. MIT.
Chen, S.-H. 2008. Computational intelligence in agent-based computational economics. In Computational Intelligence: A Compendium, Fulcher, J. & Jain, L. (eds). Springer, 517594.
Chen, S.-H., Liao, C.-C., Chou, P.-J. 2008. On the plausibility of sunspot equilibria: simulations based on agent-based artificial stock markets. Journal of Economic Interaction and Coordination 3(1), 2541.
Chen, S.-H., Yeh, C.-H. 2001. Evolving traders and the business school with genetic programming: a new architecture of the agent-based artificial stock market. Journal of Economic Dynamics and Control 25(3–4), 363393.
Chen, S.-H., Huang, Y.-C., Wang, J.-F. 2008. Bounded Rationality and the Elasticity Puzzle: An Analysis of Agent-based Computational Consumption Capital Asset Pricing Models. Working paper, AI-ECON Research Center, National Chengchi University.
Chiarella, C., Dieci, R., Gardini, L. 2002. Speculative behaviour and complex asset price dynamics: a global analysis. Journal of Economic Behavior and Organization 49(2), 173197.
Chiarella, C., He, X.-Z., Hommes, C. 2006. Moving average rules as a source of market instability. Physica A 370(1), 1217.
Cont, R. 2001. Empirical properties of asset returns: stylized facts and statistical issues. Quantitative Finance 1, 223236.
Cont, R. 2005. Volatility clustering in financial markets: empirical facts and agent-based models. In Long Memory in Economics, Teyssière, G. & Kirman, A. (eds). Springer, 289310.
Cont, R., Bouchaud, Y.-P. 2000. Herd behavior and aggregate fluctuations in financial markets. Macroeconomic Dynamics 4(2), 170196.
Cross, R., Grinfeld, M., Lamba, H., Seaman, T. 2007. Stylized facts from a threshold-based heterogeneous agent model. The European Physical Journal B 57(2), 213218.
De Grauwe, P., Grimaldi, M. 2005a. The exchange rate and its fundamentals in a complex world. Review of International Economics 13(3), 549575.
De Grauwe, P., Grimaldi, M. 2005b. Heterogeneity of agents, transactions costs and the exchange rate. Journal of Economic Dynamics and Control 29(4), 691719.
De Grauwe, P., Grimaldi, M. 2006. The Exchange Rate in a Behavior Finance Framework. Princeton University Press.
de Jong, E., Verschoor, W., Zwinkels, R. 2006. Heterogeneity of Agents and Exchange Rate Dynamics: Evidence from the EMS. Working paper, Nijmegen Centre for Economics.
de Jong, E., Verschoor, W., Zwinkels, R. 2009. A heterogeneous route to the European monetary system crisis. Applied Economics Letters 16(9), 929932.
Delli Gatti, D., Gaffeo, E., Gallegati, M., Giulioni, G., Kirman, A., Palestrini, A., Russo, A. 2007. Complex dynamics and empirical evidence. Information Sciences 177(5), 12041221.
Derveeuw, J. 2005. Market dynamics and agents behaviors: a computational approach. Artificial Economics 564, 1527.
Diebold, F., Mariano, R. 1995. Comparing predictive accuracy. Journal of Business and Economic Statistics 13, 253263.
Diebold, F., Nason, J. 1990. Nonparametric exchange rate prediction? Journal of International Economics 28(3–4), 315332.
Diks, C., van der Weide, R. 2005. Herding, a-synchronous updating and heterogeneity in memory in a CBS. Journal of Economic Dynamics and Control 29(4), 741763.
Duffy, J. 2006. Agent-based models and human subject experiments. In Handbook of Computational Economics, Tesfatsion, L. & Judd, K. (eds). Elsevier, 9491011.
Duffy, J., Fisher, E. 2005. Sunspots in the laboratory. American Economic Review 95(3), 510529.
Ecemis, I., Bonabeau, E., Ashburn, T. 2005. Interactive estimation of agent-based financial markets models: modularity and learning. In Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, Beyer, H. (ed.). ACM, 1897–1904.
Engle, R., Russell, J. 2007. Analysis of high frequency financial data. In Handbook of Financial Econometrics, Ait-Sahalia, Y. (ed.). Elsevier.
Farmer, D., Patelli, P., Zovko, I. 2005. The predictive power of zero intelligence in financial markets. Proceedings of the National Academy of Sciences of the United States of America 102(6), 22542259.
Ferreira, F., De Oliveira, V., Crepaldi, A., Campos, P. 2007. Agent-based model with heterogeneous fundamental prices. Physica A 357(3–4), 534542.
Föllmer, H., Horst, U., Kirman, A. 2005. Equilibria in financial markets with heterogeneous agents: a probabilistic perspective. Journal of Mathematical Economics 41(1–2), 123155.
Forni, M., Lippi, M. 1997. Aggregation and the Microfoundation of Dynamic Macroeconomics. Clarendon Press.
Frankel, J., Froot, K. 1990. Chartists, fundamentalists, and trading in the foreign exchange market. American Economic Review 80(2), 181186.
Gallegati, M., Palestrini, D., Delli Gatti, D., Scalas, E. 2006. Aggregation of heterogeneous interacting agents: the variant representative agent framework. Journal of Economic Interaction and Coordination 1(1), 519.
Gabaix, X., Gopikrishnan, P., Plerou, V., Stanley, H. 2003. A theory of power-law distributions in financial market fluctuations. Nature 423, 267270.
Gaunersdorfer, A., Hommes, C. 2007. A nonlinear structural model for volatility clustering. In Long Memory in Economics, Teyssière, G. & Kirman, A. (eds). Springer-Verlag, 265288.
Ghose, D., Kroner, K. 1995. The relationship between GARCH and symmetric stable processes: finding the source of fat tails in financial data. Journal of Empirical Finance 2(3), 225251.
Ghoulmie, F., Cont, R., Nadal, J.-P. 2005. Heterogeneity and feedback in an agent-based market model. Journal of Physics 17, 12591268.
Gilli, M., Winker, P. 2003. A global optimization heuristic for estimating agent based models. Computational Statistics and Data Analysis 42(3), 299312.
Gourieroux, C., Monfort, A. 1996. Simulation-Based Econometric Methods. Oxford University.
Hall, R. 1988. Intertemporal substitution in consumption. Journal of Political Economy 96(2), 339357.
Hartley, J. 1997. The representative agent in macroeconomics. Routledge.
He, X.-Z., Li, Y. 2007. Power-law behaviour, heterogeneity, and trend chasing. Journal of Economic Dynamics and Control 31(10), 33963426.
Hein, O., Schwind, M., Spiwoks, M. 2008. Frankfurt artificial stock market: a microscopic stock market model with heterogeneous interacting agents in small-world communication networks. Journal of Economic Interaction and Coordination 3(1), 5971.
Holland, J. H. 1975. Adaptation in Natural and Artificial Systems. The University of Michigan Press.
Holland, J. H., Miller, J. H. 1991. Artificial adaptive agents in economic theory. American Economic Review 81(2), 365370.
Hommes, C. 2002. Modeling the stylized facts in finance through simple nonlinear adaptive systems. Proceedings of the National Academy of Sciences of the United States of America 99, 72217228.
Hommes, C. 2006. Heterogeneous agent models in economics and finance. In Handbook of Computational Economics, Tesfatsion, L. & Judd, K. (eds). Elsevier, 11091186.
Iori, G. 2002. A microsimulation of traders activity in the stock market: The role of heterogeneity, agents’ interactions and trade frictions. Journal of Economic Behavior and Organization 49(2), 269285.
Izumi, K., Okatsu, T. 1996. An artificial market analysis of exchange rate dynamics. In Evolutionary Programming V, Fogel, L., Angeline, P. & Bäck, T. (eds). MIT, 2736.
Izumi, K., Ueda, K. 1999. Analysis of dealers’ processing financial news based on an artificial market approach. Journal of Computational Intelligence in Finance 7, 2333.
Janssen, M., Ostrom, E. 2006. Empirically based, agent-based models. Ecology and Society 11(2), 37.
Kaizoji, T. 2003. Speculative bubbles and fat tail phenomena in a heterogeneous agent model. In Economic Complexity, Barnette, W., Deissenberg, C. & Feichinger, G. (eds). Elsevier, 259275.
Kirman, A. 1991. Epidemics of opinion and speculative bubbles in financial markets. In Money and Financial Markets, Taylor, M. (ed). Blackwell, 354368.
Kirman, A. 1992. Whom or what does the representative individual represent? Journal of Economic Perspectives 6(2), 117136.
Kirman, A. 1993. Ants, rationality, and recruitment. Quarterly Journal of Economics 108(1), 137156.
Kirman, A., Teyssière, G. 2002. Microeconomic models for long memory in the volatility of financial time series. Studies in Nonlinear Dynamics and Econometrics 5(4), 3.
Kocherlakota, N. 1996. The equity premium: it's still a puzzle. Journal of Economic Literature 34(1), 4271.
Koza, J. R. 1993. Genetic Programming: On the Programming of Computers by Means of Natural Selection. M.I.T. Press.
Lawrenz, C., Westerhoff, F. 2001. Explaining exchange rate volatility with a genetic algorithm. In Proceedings of the 6th International Conference of the Society for Computational Economics on Computing in Economics and Finance. Barcelona, Spain.
LeBaron, B. 2000. Agent-based computational finance: suggested readings and early research. Journal of Economic Dynamics and Control 24(5–7), 679702.
LeBaron, B. 2006. Agent-based computational finance. In Handbook of Computational Economics, Tesfatsion, L. & Judd, K. (eds). Elsevier, 11871233.
LeBaron, B., Yamamoto, R. 2007. Long-memory in an order-driven market. Physica A 383(1), 8589.
LeBaron, B., Arthur, W., Palmer, R. 1999. Time series properties of an artificial stock market. Journal of Economic Dynamics and Control 23(9–10), 14871516.
Levy, H., Levy, M., Solomon, S. 2000. Microscopic Simulation of Financial Markets: From Investor Behavior to Market Phenomena. Academic.
Li, H., Rosser, B. 2004. Market dynamics and stock price volatility. The European Physical Journal B 39(3), 409413.
Luce, R. 1959. Individual Choice Behavior: A Theoretical Analysis. Wiley.
Lux, T. 1995. Herd behavior, bubbles and crashes. Economic Journal 105(431), 881896.
Lux, T. 1997. Time variation of second moments from a noise trader/infection model. Journal of Economic Dynamics and Control 22(1), 138.
Lux, T. 1998. The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions. Journal of Economic Behavior and Organization 33(2), 143165.
Lux, T. 2007. Applications of Statistical Physics in Finance and Economics. Working paper, Department of Economics, Kiel University.
Lux, T., Marchesi, M. 1999. Scaling and criticality in a stochastic multi-agent model of a financial market. Nature 397(11), 498500.
Lux, T., Marchesi, M. 2000. Volatility clustering in financial markets: a micro-simulation of interacting agents. International Journal of Theoretical and Applied Finance 3(4), 675702.
Manzan, S., Westerhoff, F. 2005. Representativeness of news and exchange rate dynamics. Journal of Economic Dynamics and Control 29(4), 677689.
Manzan, S., Westerhoff, F. 2007. Heterogeneous expectations, exchange rate dynamics and predictability. Journal of Economic Behavior and Organization 64(1), 111128.
Mark, N. 1995. Exchange rates and fundamentals: evidence on long-horizon predictability. American Economic Review 85(1), 201218.
Martinez-Jaramillo, S., Tsang, E. 2009. A heterogeneous, endogenous and co-evolutionary GP-based financial market. IEEE Transactions on Evolutionary Computation 13(1), 3355.
Midgley, D., Marks, R., Kunchamwar, D. 2007. Building and assurance of agent-based models: an example and challenge to the field. Journal of Business Research 60(8), 884893.
Miller, J. 1998. Active nonlinear tests (ANTs) of complex simulation models. Management Science 44(6), 820830.
Muranaga, J., Ohsawa, M. 1997. Measurement of liquidity risk in the context of market risk calculation. In The Measurement of Aggregate Market Risk. Bank for International Settlements.
Neely, C., Roy, A., Whiteman, C. 2001. Risk aversion versus intertemporal substitution: a case study of identification failure in the intertemporal consumption capital asset pricing model. Journal of Business and Economic Statistics 19(4), 395403.
Neuberg, L., Bertels, K. 2003. Heterogeneous trading agents. Complexity 8(5), 2835.
Neuberg, L., Louargant, C., Protin, P. 2004. From heterogeneous expectations to exchange rate dynamics. In Proceedings of the 10th International Conference of the Society for Computational Economics on Computing in Economics and Finance. University of Amsterdam, Amsterdam, Netherlands.
Newell, A., Simon, H. 1972. Human Problem Solving. Prentice Hall.
Pacurar, M. 2006. Autoregressive Conditional duration (ACD) Models in Finance: A Survey of the Theoretical and Empirical Literature. Working paper, HEC-Montreal.
Palmer, R., Arthur, W., Holland, J., LeBaron, B., Tayler, P. 1994. Artificial economic life: a simple model of a stock market. Physica D 75(1–3), 264274.
Parke, W., Waters, G. 2007. An evolutionary game theory explanation of ARCH effects. Journal of Economic Dynamics and Control 31(7), 22342262.
Pollard, M. 2006. Volatility Clustering, Excess Variability and Paretian Wealth Distribution in a Minimum Market Model. Working paper, Department of Finance and Applied Statistics, Australian National University.
Rabertoa, M., Cincottia, S., Focardib, S. 2001. Agent-based simulation of a financial market. Physica A 299(1–2), 319327.
Reimann, S., Tupak, A. 2007. Prices are macro-observables! Stylized facts from evolutionary finance. Computational Economics 29(3), 313331.
Reitz, S., Westerhoff, F. 2007. Commodity price cycles and heterogeneous speculators: A STAR-GARCH model. Empirical Economics 33(2), 231244.
Rosser, B. 1997. Speculations on nonlinear speculative bubbles. Nonlinear Dynamics, Psychology, and Life Sciences 1(4), 275300.
Sallans, B., Pfister, A., Karatzoglou, A., Dorffner, G. 2003. Simulation and validation of an integrated markets model. Journal of Artificial Societies and Social Simulation 6(4), 133.
Samanidou, E., Zschischang, E., Stauffer, D., Lux, T. 2007. Agent-based models of financial markets. Reports of Progress in Physics 70, 409450.
Sansone, A., Garofalo, G. 2007. Asset price dynamics in a financial market with heterogeneous trading strategies and time delays. Physica A 382(1), 247257.
Shimokawa, T., Suzuki, K., Misawa, T. 2007. An agent-based approach to financial stylized facts. Physica A 379(1), 207225.
Stoker, T. 1993. Empirical approaches to the problem of aggregation over individuals. Journal of Economic Literature 314, 18271874.
Suominen, M. 2001. Trading volume and information revelation in stock markets. Journal of Financial and Quantitative Analysis 36(4), 545565.
Tay, N., Lin, S. 2001. Fuzzy inductive reasoning, formation and the behavior of security prices. Journal of Economic Dynamics and Control 25(3–4), 321362.
Taylor, S. 2005. Asset Price Dynamics, Volatility, and Prediction. Princeton University.
Tsay, R.-S. 2002. Analysis of Financial Time Series. Wiley Interscience.
Vriend, N. 2000. An illustration of the essential difference between individual and social learning, and its consequences for computational analysis. Journal of Economic Dynamics and Control 24(1), 119.
Vriend, N. 2002. On two types of GA-Learning. In Evolutionary Computation in Economics and Finance, Chen, S.-H. (ed.). Physica-Verlag, 233243.
Westerhoff, F., Reitz, S. 2003. Nonlinearities and cyclical behavior: the role of chartists and fundamentalists. Studies in Nonlinear Dynamics and Econometrics 7(4), Art. 3.
Winker, P., Gilli, M. 2001. Indirect Estimation of the Parameters of Agent-Based Models of Financial Markets. FAME Research paper, University of Geneva, 38.
Winker, P., Gilli, M., Jeleskovic, V. 2007. An objective function for simulation-based inference on exchange rate data. Journal of Economic Interaction and Coordination 2(2), 125145.
Yang, J. 2002. The efficiency of an artificial double auction stock market with neural learning agents. In Evolutionary Computation in Economics and Finance, Chen, S.-H. (ed.). Physica-Verlag, 87107.
Yeh, C.-H., Chen, S.-H. 2001. Market diversity and market efficiency: the approaches based on genetic programming. The Interdisciplinary Journal of Artificial Intelligence and the Simulation of Behavior 1(1), 147167.
Zovko, I., Farmer, P. 2007. Correlations and clustering in the trading of members of the London Stock Exchange. In Complexity, Metastability and Nonextensivity: An International Conference, AIP Conference Proceedings, Abe, S., Mie, T., Herrmann, H., Quarati, P., Rapisarda, A. & Tsallis, C. (eds). Springer.
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