Agent-based computational finance: Suggested readings and early research

Journal of Economic Dynamics and Control - Tập 24 - Trang 679-702 - 2000
Blake LeBaron1
1Graduate School of International Economics and Finance, Brandeis University, 415 South Street, Mailstop 021, Waltham, MA 02453-2728, USA

Tài liệu tham khảo

Arifovic, 1996, The behavior of the exchange rate in the genetic algorithm and experimental economies, Journal of Political Economy, 104, 510, 10.1086/262032 Arifovic, J., Gencay, R., 1999. Statistical properties of genetic learning in a model of exchange rate. Journal of Economic Dynamics and Control, forthcoming. Arthur, W.B., Holland, J., LeBaron, B., Palmer, R., Tayler, P., 1997. Asset pricing under endogenous expectations in an artificial stock market. In: Arthur, W.B., Durlauf S., Lane, D. (Eds.), The Economy as an Evolving Complex System II. Addison-Wesley, Reading, MA, pp. 15–44. Bäck, T., 1996. Evolutionary Algorithms in Theory and Practice. Oxford University Press, Oxford, UK. Bak, 1997, Experts, noise traders, and fat tail distributions, Economic Notes, 26, 251 Beltratti, A., Margarita, S., 1992. Evolution of trading strategies among heterogeneous artificial economic agents. In: Meyer, J.A., Roitblat, H.L., Wilson, S.W. (Eds.), From Animals to Animats 2. MIT Press, Cambridge, MA. Beltratti, A., Margarita, S., Terna, P., 1996. Neural Networks for Economic and Financial Modeling. International Thomson Computer Press, London, UK. Benink, H., Bossaerts, P., 1996. An exploration of neo-austrian theory applied to financial markets. Technical Report, California Institute of Technology, Pasadena, CA. Blume, 1990, Evolution and market behavior, Journal of Economic Theory, 58, 9, 10.1016/0022-0531(92)90099-4 Bollerslev, 1990, ARCH modeling in finance: A review of the theory and empirical evidence, Journal of Econometrics, 52, 5, 10.1016/0304-4076(92)90064-X Bray, 1982, Learning, estimation, and the stability of rational expectations, Journal of Economic Theory, 26, 318, 10.1016/0022-0531(82)90007-2 Brock, 1998, Heterogeneous beliefs and routes to chaos in a simple asset pricing model, Journal of Economic Dynamics and Control, 22, 1235, 10.1016/S0165-1889(98)00011-6 Brock, 1992, Simple technical trading rules and the stochastic properties of stock returns, Journal of Finance, 47, 1731, 10.2307/2328994 Brock, 1996, A dynamic structural model for stock return volatility and trading volume, Review of Economics and Statistics, 78, 94, 10.2307/2109850 Cabrales, 1996, Heterogeneous beliefs, wealth accumulation, and asset price dynamics, Journal of Economic Dynamics and Control, 20, 1073, 10.1016/0165-1889(95)00890-X Chiarella, 1992, The dynamics of speculative behaviour, Annals of Operations Research, 37, 101, 10.1007/BF02071051 Cliff, D., Bruten, J., 1997. Zero is not enough: On the lower limit of agent intelligence for continuous double auction markets. Technical Report HPL-97-141, Hewelett-Packard Laboratories, Bristol, UK. Day, 1990, Bulls, bears, and market sheep, Journal of Economic Behavior and Organization, 14, 299, 10.1016/0167-2681(90)90061-H De Grauwe, P., Dewachter, H., Embrechts, M., 1993. Exchange Rate Theory: Chaotic Models of Foreign Exchange Markets. Blackwell, Oxford. de la Maza, M., Yuret, D., 1995. A model of stock market participants. In: Biethahn, J., Nissen, V. (Eds.), Evolutionary Algorithms in Management Applications. Springer, Heidelberg, pp. 290–304. De Long, 1991, The survival of noise traders in financial markets, Journal of Business, 64, 1, 10.1086/296523 Epstein, J.M., Axtell, R., 1997. Growing Artificial Societies. MIT Press, Cambridge, MA. Fogel, D.B., 1995. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence. IEEE Press, Piscataway, NJ. Frankel, J.A., Froot, K.A., 1988. Explaining the demand for dollars. International rates of return and the expectations of chartists and fundamentalists. In: Chambers, R., Paarlberg, P. (Eds.), Agriculture, Macroeconomics, and the Exchange Rate. Westview Press, Boulder, CO. Gennotte, 1990, Market liquidity, hedging, and crashes, American Economic Review, 80, 999 Gode, 1993, Allocative efficiency of markets with zero intelligence traders, Journal of Political Economy, 101, 119, 10.1086/261868 Goldberg, D.E., 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, Reading, MA. Goldman, 1979, Market prices vs. equilibrium prices: Returns’ variance, serial correlation, and the role of the specialist, Journal of Finance, 34, 595, 10.2307/2327428 Goodhart, 1988, The foreign exchange market: a random walk with a dragging anchor, Economica, 55, 437, 10.2307/2553908 Grossman, 1976, On the efficiency of competitive stock markets where traders have diverse information, Journal of Finance, 31, 573, 10.2307/2326627 Grossman, 1980, On the impossibility of informationally efficient markets, American Economic Review, 70, 393 Hansen, L., Jagannathan, R., 1990. Implications of security market data for models of dynamic economies. Journal of Political Economy, 225–262. Hansen, 1983, Stochastic consumption, risk aversion, and the temporal behavior of asset returns, Journal of Political Economy, 91, 249, 10.1086/261141 Hodgson, G.M., 1993. Economics and Evolution: Bringing life back into Economics. University of Michigan Press, Ann Arbor, MI. Holland, J.H., 1975. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, MI. Holland, J.H., Holyoak, K.J., Nisbett, R.E., Thagard, P.R., 1986. Induction. MIT Press, Cambridge, MA. Kareken, 1981, On the indeterminacy of equilibrium exchange rates, Quarterly Journal of Economics, 96, 207, 10.2307/1882388 Kirman, 1993, Ants, rationality, and recruitment, Quarterly Journal of Economics, 108, 137, 10.2307/2118498 Kocherlakota, 1996, The equity premium: It's still a puzzle, Journal of Economic Literature, 34, 42 Kuan, 1994, Artificial neural networks: an econometric perspective, Econometric Reviews, 13, 1, 10.1080/07474939408800273 LeBaron, B., 1998. Technical trading rules and regime shifts in foreign exchange. In: Acar E., Satchell, S. (Eds.), Advanced Trading Rules. Butterworth-Heinemann, London, pp. 5–40. LeBaron, B., Arthur, W.B., Palmer, R., 1999. Time series properties of an artificial stock market. Journal of Economic Dynamics and Control, forthcoming. Lettau, 1997, Explaining the facts with adaptive agents: The case of mutual fund flows, Journal of Economic Dynamics and Control, 21, 1117, 10.1016/S0165-1889(97)00046-8 Levich, 1993, The significance of technical trading-rule profits in the foreign exchange market: a bootstrap approach, Journal of International Money and Finance, 12, 451, 10.1016/0261-5606(93)90034-9 Levy, 1994, A microscopic model of the stock market: cycles, booms, and crashes, Economics Letters, 45, 103, 10.1016/0165-1765(94)90065-5 Lindgren, K., 1992. Evolutionary phenomena for social dynamics. In: Langton, C.G., Taylor, C., Farmer, J.D., Rasmussen, S. (Eds.), Artificial Life II. Addison-Wesley, Reading, MA, pp. 295–312. Linn, S.C., Tay, N.S.P., 1998. Investor interaction and the dynamics of security prices. Technical Report, University of Oklahoma, Norman, OK. Lux, 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, 143, 10.1016/S0167-2681(97)00088-7 Marengo, L., Tordjman, H., 1995. Speculation, heterogeneity, and learning: A model of exchange rate dynamics, Technical Report WP-95-17, International Institute for Applied Systems Analysis, Vienna, Austria. Mehra, 1985, The equity premium: a puzzle, Journal of Monetary Economics, 15, 145, 10.1016/0304-3932(85)90061-3 Rieck, C., 1994. Evolutionary simulation of asset trading strategies. In: Hillebrand, E., Stender, J. (Eds.), Many-Agent Simulation and Artificial Life. IOS Press. Routledge, B.R., 1994. Artificial selection: genetic algorithms and learning in a rational expectations model. Technical Report, GSIA, Carnegie Mellon, Pittsburgh, Penn. Sacco, P.L., 1992. Noise traders permanence in stock markets: a tatonnement approach. Technical Report, European University Institute, Florence, Italy. Sargent, T., 1993. Bounded Rationality in Macroeconomics. Oxford University Press, Oxford, UK. Savit, R., Manuca, R., Riolo, R., 1997. Market efficiency, phase transitions and spin-glasses. Technical Report 97-12-001, Program for the Study of Complex Systems. University of Michigan, Ann Arbor, Michigan. Smith, 1976, Experimental economics: induced value theory, American Economic Review, 66, 274 Steiglitz, K., Honig, M.L., Cohen, L.M., 1996. A computational market model based on individual action. In: Clearwater, S.H. (Ed.), Market-Based Control: A Paradigm for Distributed Resource Allocation. World Scientific, New Jersey, pp. 1–27. Sweeney, 1986, Beating the foreign exchange market, Journal of Finance, 41, 163, 10.2307/2328350 Topol, 1991, Bubbles and volatility of stock prices: effect of mimetic contagion, Economic Journal, 101, 786, 10.2307/2233855 Vriend, N., 1998. An illustration of the essential difference between individual and social learning, and its consequences for computational analysis. Technical Report, Queen Mary and Westfield College, Univ. of London, UK. Youssefmir, 1997, Clustered volatility in multiagent dynamics, Journal of Economic Behavior and Organization, 32, 101, 10.1016/S0167-2681(96)00021-2 Zeeman, 1974, On the unstable behavior of stock exchanges, Journal of Mathematical Economics, 1, 39, 10.1016/0304-4068(74)90034-2