Abstract
Interacting agents in finance represent a behavioural, agent-based approach in which financial markets are viewed as complex adaptive systems consisting of many boundedly rational agents interacting through simple heterogeneous investment strategies, constantly adapting their behaviour in response to new information and strategy performance, and through social interactions. An interacting agent system acts as a noise filter, transforming and amplifying purely random news about economic fundamentals into an aggregate market outcome exhibiting important stylized facts such as unpredictable asset prices and returns, excess volatility, temporary bubbles and sudden crashes, large and persistent trading volume, clustered volatility and long memory.
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Bibliography
Allen, H., and M. Taylor. 1990. Charts, noise and fundamentals in the London foreign exchange market. Economic Journal 100: 49–59.
Anderson, P., K. Arrow, and D. Pines, eds. 1988. The economy as an evolving complex system. Reading: Addison-Wesley.
Arthur, W., J. Holland, B. LeBaron, R. Palmer, and P. Taylor. 1997. Asset pricing under endogenous expectations in an artificial stock market. In The economy as an evolving complex system II, ed. W. Arthur, S. Durlauf, and D. Lane. Reading: Addison-Wesley.
Barberis, N., and R. Thaler. 2003. A survey of behavioral finance. In Handbook of the economics of finance, ed. G. Constantinidis, M. Harris, and R. Stulz. Amsterdam: North-Holland.
Blume, L. 1993. The statistical mechanics of strategic interaction. Games and economic behavior 5: 387–424.
Boswijk, H., C. Hommes, and S. Manzan. 2007. Behavioral heterogeneity in stock prices. Journal of Economic Dynamics and Control (forthcoming).
Brock, W. 1993. Pathways to randomness in the economy: Emergent nonlinearity and chaos in economics and finance. Estudios Económicos 8: 3–55.
Brock, W. 1997. Asset price behavior in complex environments. In The economy as an evolving complex system II, ed. W. Arthur, S. Durlauf, and D. Lane. Reading: Addison-Wesley.
Brock, W., and S. Durlauf. 2001a. Discrete choice with social interactions. Review of Economic Studies 68: 235–260.
Brock, W., and S. Durlauf. 2001b. Interactions-based models. In Handbook of econometrics, ed. J. Heckman and E. Leamer, Vol. 5. Amsterdam: North-Holland.
Brock, W., and C. Hommes. 1997. A rational route to randomness. Econometrica 65: 1059–1095.
Brock, W., and C. Hommes. 1998. Heterogeneous beliefs and routes to chaos in a simple asset pricing model. Journal of Economic Dynamics and Control 22: 1235–1274.
Brock, W., J. Lakonishok, and B. LeBaron. 1992. Simple technical trading rules and the stochastic properties of stock returns. Journal of Finance 47: 1731–1764.
DeLong, J., A. Shleifer, L. Summers, and R. Waldmann. 1990. Noise trader risk in financial markets. Journal of Political Economy 98: 703–738.
Föllmer, H. 1974. Random economies with many interacting agents. Journal of Mathematical Economics 1: 51–62.
Frankel, J., and K. Froot. 1986. Understanding the US dollar in the eighties: The expectations of chartists and fundamentalists. Economic Record, special issue, 24–38.
Frankel, J., and K. Froot. 1987. Using survey data to test standard propositions regarding exchange rate expectations. American Economic Review 77: 133–153.
Friedman, M. 1953. The case of flexible exchange rates. In Essays in positive economics. Chicago: University of Chicago Press.
Fudenberg, D., and J. Tirole. 1991. Game theory. Cambridge: MIT Press.
Hommes, C. 2006. Heterogeneous agent models in economics and finance. In Handbook of computational economics, volume 2: Agent-based computational economics, ed. L. Tesfatsion and K. Judd, 1109–1186. Amsterdam: North-Holland.
Hommes, C., J. Sonnemans, J. Tuinstra, and H. van de Velden. 2005. Coordination of expectations in asset pricing experiments. Review of Financial Studies 18: 955–980.
Kirman, A. 1991. Epidemics of opinion and speculative bubbles in financial markets. In Money and financial markets, ed. M. Taylor. London: Macmillan.
Kirman, A. 1993. Ants, rationality and recruitment. Quarterly Journal of Economics 108: 137–156.
LeBaron, B. 2006. Agent-based computational finance. In Handbook of computational economics, volume 2: Agent-based computational economics, ed. L. Tesfatsion and K. Judd, 1187–1233. Amsterdam: North-Holland.
LeBaron, B., W. Arthur, and R. Palmer. 1999. Time series properties of an artificial stock market. Journal of Economic Dynamics and Control 23: 1487–1516.
Lux, T. 1995. Herd behavior, bubbles and crashes. Economic Journal 105: 881–896.
Lux, T., and M. Marchesi. 1999. Scaling and criticality in a stochastic multi-agent model of a financial market. Nature 397: 498–500.
Sargent, T. 1993. Bounded rationality in macroeconomics. Oxford: Clarendon Press.
Shiller, R. 1981. Do stock prices move too much to be justified by subsequent changes in dividends? American Economic Review 71: 421–436.
Shleifer, A., and R. Vishny. 1997. The limits of arbitrage. Journal of Finance 52: 35–55.
Simon, H. 1957. Models of man. New York: Wiley.
Smith, V., G. Suchanek, and A. Williams. 1988. Bubbles, crashes and endogenous expectations in experimental spot asset markets. Econometrica 56: 1119–1151.
Tesfatsion, L., and K. Judd, eds. 2006. Handbook of computational economics, volume 2: Agent-based computational economics. Amsterdam: North-Holland.
Tversky, A., and D. Kahneman. 1974. Judgment under uncertainty: Heuristics and biases. Science 185: 1124–1131.
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Hommes, C. (2018). Interacting Agents in Finance. In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95189-5_2466
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DOI: https://doi.org/10.1057/978-1-349-95189-5_2466
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