|dc.description.references||Akaike, H. 1973. Information theory and an extension of the maximum likelihood principle. B. Petrov,
F. Csaki, eds. 2nd International Symposium of Information Theory. Akademiai Kiado, Budapest.
Akaike, H. 1978. A Bayesian analysis of the minimum AIC procedure. Ann. Inst. Statist. Math. 30
(Part A) 9-14.
Arthur, W. B. 1991. Designing economic agents that act like human agents: a behavioral approach to bounded
rationality. American Econom. Rev. 81 353-359.
Arthur, W. B. 1992. On learning and adaptation in the economy. Working paper, 92-07-038, Santa Fe Institute.
Arthur, W. B. 1994. Inductive reasoning and bounded rationality. American Econom. Rev. 84 406-411.
Arthur, W. B. 1995. Complexity in economic and financial markets. Complexity. 1 20-25.
Arthur, W. B., J. H. Holland, B. LeBaron, R. Palmer; P. Tayler. 1997. Asset pricing under endogenous expectations
in an artificial stock market. W. B. Arthur, S. Durlauf, D. Lane, eds. The Economy as an Evolving Complex
System II. Addison-Wesley, Reading, MA.
Barnett, W. A., A. R. Gallant, M. J. Hinich, J. A. Jungeilges, D. T. Kaplan, M. J. Jensen. A single blind controlled
competition among tests for nonlinearity and chaos. J. Econometrics. 82 157-192.
Blume, L. E., D. Easley. What has the rational learning literature taught us? 1995. A. Kirman, M. Salmon, eds.
Learning and Rationality in Economics. Basil Blackwell., Cambridge, MA.
Bollerslev, T., R. Y. Chou; K. F. Kroner. 1992. ARCH modeling in finance: a review of the theory and empirical
evidence. J. Econometrics. 52 5-59.
Bollerslev, T., J. H. Wright. 2000. Semoparametric estimation of long memory volatility dependencies: the role of
high frequency data. J. Econometrics. 98 81-106.
Brock, W. A. 1982l Asset prices in a production economy. J. McCall, ed. The Economics of Information and
Uncertainty, Conference Report Number 32, National Bureau of Economic Research. University of Chicago
Press, Chicago, IL
Brock, W. A., W. D. Dechert; J. Scheinkman. 1987. A test for independence based upon the correlation dimension.
Working Paper, University of Wisconsin.
Brock, W. A., W. D. Dechert; B. LeBaron, J. Scheinkman. 1996. A test for independence based upon the
correlation dimension. Econometric Rev. 15 197-235.
Brock, W. A., D. A. Hsieh, B. LeBaron. 1991. Nonlinear Dynamics, Chaos and Instability: Statistical Theory and
Economic Evidence. MIT Press, Cambridge, MA.
Brock, W.A., C. H. Hommes. 1998. Heterogeneous beliefs and routes to chaos in a simple asset pricing model. J.
Econom. Dynam. and Control. 22 1235-1274.
Campbell, J. Y., A. W. Lo, A. C. Mackinlay. 1997. The Econometrics of Financial Markets. Princeton University
Press, Princeton, NY.
Chetty, R. 2003. A new method of estimating risk aversion. NBER Working Paper No. 9988.
Ding, Z., C. W. J. Granger, R. F. Engle. 1993. A long memory property of stock market returns and a new model.
J. Empirical Finance. 1 83-106.
DuMouchel, W. H. 1983. Estimating the stable index α in order to measure tail thickness: a critique.
Annals of Statistics. 11 1019–1031.
Engle, R. F. 1982. Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom
inflation. Econometrica. 50 987-1007.
Engle, R. F. 2004. Risk and volatility: econometric models and financial practice. American Economic Rev. 94
Feller, W. 1966. An Introduction to Probability Theory and its Applications. 2 Wiley, New York, NY.
Gabaix, X., P. Gopikrishnan, V. Plerou, H. E. Stanley. 2004. A theory of large fluctuations in stock market activity.
Working paper. MIT Press, Cambridge, MA.
Glosten, L. R., R. Jagannathan, D. Runkle. 1993. On the relation between the expected value and the volatility
of the nominal excess return on stocks. J. Finance. 48 1779-1801.
Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimization and Machine Learnin.. Addison-Wesley,
Gopikrishnan, P., V. Plerou, L. A. N. Amaral, M. Meyer, H. E. Stanley. 1999. Scaling of the distribution of
fluctuations of financial market indices. Phys. Rev. E. 60 5305-5316.
Gourieroux, C., J. Jasiak. 2001. Financial Econometrics, Problems, Models and Methods. Princeton University
Press, Princeton, NJ.
Granger, C., A. Andersen. 1978. An Introduction to Bilinear Time Series Models. Grottingen. Vandenhoeck &
Grassberger, P., I. Procaccia. 1983a. Characterization of strange attractors. Physics Rev. Letters. 50 346-349.
Grassberger, P., I. Procaccia. 1983b. Measuring the strangeness of strange attractors. Physical Rev. 9D 189-208.
Hansen, L. P., K. J. Singleton. 1982. Generalized instrumental variables estimation of nonlinear rational
expectations models. Econometrica. 50 1269-1286.
Hill, B. M. 1975. A simple general approach to inference about the tail of a distribution. Annals of Stats.
Holland, J. H., K. J. Holyoak, R. E. Nisbett, P.R. Thagard. 1986. Induction: Processes of Inference, Learning, and
Discovery. MIT Press, Cambridge, MA.
Holland, J. H., J. Reitman. 1978. Cognitive systems based on adaptive algorithms. Pattern-Directed Inference
Systems. Academic Press, New York, NY.
Hsieh, D. A. 1991. Chaos and nonlinear dynamics: application to financial markets. J. Finance. 46 1839-1877.
Huisman, R., K. G. Koedijk, C. J. M. Kool, F. Palm. 2001. Tail-index estimates in small samples. J. Business and
Econom. Stats. 19 208-216.
Jarque, C. M., A. K. Bera. 1987. A test for normality of observations and regression residuals. International
Statistical Rev. 55 163-172.
Kanzler, L. 1999. Very fast and correctly sized estimation of the BDS statistic. Working Paper. University of
Oxford, Department of Economics, Christ Church .
Kaplan, D. T. 1994. Exceptional events as evidence for determinism. Physica D 73 38-48.
LeBaron, B. 1997. A fast algorithm for the BDS statistic.” Studies in Nonlinear Dynamics and Econometrics. 2
LeBaron, B. 2000. Agent based computational finance: suggested readings and early research. J. Econom. Dynam.
and Control. 24 679-702.
LeBaron, B. 2004. Agent-based computational finance. K. L. Judd, L. Tesfatsion, eds. Forthcoming in The
Handbook of Computational Economics, II.
LeBaron, B., W. B. Arthur; R. Palmer. 1999. Time series properties of an artificial sock market. J. Econom.
Dynam. and Control. 23 1487-1516.
LeBaron, B., R. Samanta. 2004. Extreme value theory and fat tails in equity markets. Working Paper, Brandeis
Lo, A. 1991. Long-term memory in stock market prices. Econometrica. 59 1279-1313.
Ljung, G., G. Box. 1979. On a measure of lack of fit in time series models. Biometrika. 66 265-270.
Nelson, D. B. 1991. Conditional heteroskedasticity in asset returns: a new approach. Econometrica. 59 347-370.
Mandelbrot, B. B. 1997. Fractals and Scaling in Finance: Discontinuity, Concentration and Risk, Selecta Volume
E. Springer-Verlag, New York , NY.
Palmer, R. G., W. B. Arthur; J. H. Holland, B. LeBaron, P. Tayler. 1994. Artificial economic life: a simple model
of a stockmarket. Physica D. 75 264-274.
Plerou, V., P. Gopikrishnan, L. A. N. Amaral, M. Meyer, H. E. Stanley. 1999. Scaling of the distribution of price
fluctuations of individual companies. Phys. Rev. E. 60 6519-6529.
Quintos, C., Z. Fan, P. C. B. Phillips. 2001. Structural change tests in tail behavior and the asian crisis.” The Rev of
Econom. Stud. 68 633-663.
Rescher, N. 1980. Induction: an essay on the justification of inductive reasoning. University of Pittsburgh Press,
Scheinkman, J. A., B. LeBaron. 1989. Nonlinear dynamics and stock returns. J. Business. 62 311-337.
Schwarz, G. 1978. Estimating the dimension of the model. Annals of Statistics. 6 461-464.
Smithson, M. J. 1987. Fuzzy set analysis for behavioral and social sciences. Springer-Verlag, New York, NY:
Smithson, M. J., G. C. Oden. 1999. Fuzzy set theory and applications in psychology. D. Dubois, and H. Prade, eds.
International Handbook of Fuzzy Sets and Possibility Theory. 5 Applications. Kluwer, Amsterdam.
Tay, N. S. P., S. C. Linn. 2001. Fuzzy inductive reasoning, expectation formation and the behavior of security
prices. J. Econom. Dynam. and Control. 25 321-361.
Tesfatsion, L. 2002. Agent-based computational economics: growing economies from the bottom up. Working
Paper, Iowa State University.
White, H. 1989. An additional hidden unit test for neglected nonlinearity in multilayer feedforward networks.
Proceedings of the International Joint Conference on Neural Networks. IEEE Press, New York. 451-455.
Zadeh, L. A. 1962. From circuit theory to system theory. Proceedings of the Institute of Radio Engineers. 50 856-865.
Zadeh, L. A. 1965. Fuzzy sets. Information and Control. 8 338-353.||en_NZ