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A learning-to-forecast experiment on the foreign exchange market with a classifier system

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  • Beltrametti, Luca
  • Fiorentini, Riccardo
  • Marengo, Luigi
  • Tamborini, Roberto

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  • Beltrametti, Luca & Fiorentini, Riccardo & Marengo, Luigi & Tamborini, Roberto, 1997. "A learning-to-forecast experiment on the foreign exchange market with a classifier system," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1543-1575, June.
  • Handle: RePEc:eee:dyncon:v:21:y:1997:i:8-9:p:1543-1575
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    1. Bray, Margaret, 1982. "Learning, estimation, and the stability of rational expectations," Journal of Economic Theory, Elsevier, vol. 26(2), pages 318-339, April.
    2. Granger, Clive W. J., 1992. "Forecasting stock market prices: Lessons for forecasters," International Journal of Forecasting, Elsevier, vol. 8(1), pages 3-13, June.
    3. Arthur, W Brian, 1991. "Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality," American Economic Review, American Economic Association, vol. 81(2), pages 353-359, May.
    4. Lucas, Robert E, Jr, 1986. "Adaptive Behavior and Economic Theory," The Journal of Business, University of Chicago Press, vol. 59(4), pages 401-426, October.
    5. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    6. Meese, Richard A & Singleton, Kenneth J, 1982. "On Unit Roots and the Empirical Modeling of Exchange Rates," Journal of Finance, American Finance Association, vol. 37(4), pages 1029-1035, September.
    7. Sanford J. Grossman, 1981. "An Introduction to the Theory of Rational Expectations Under Asymmetric Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(4), pages 541-559.
    8. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    9. Frenkel, Jacob A. & Mussa, Michael L., 1985. "Asset markets, exchange rates and the balance of payments," Handbook of International Economics, in: R. W. Jones & P. B. Kenen (ed.), Handbook of International Economics, edition 1, volume 2, chapter 14, pages 679-747, Elsevier.
    10. W. Brian Arthur, 1992. "On Learning and Adaptation in the Economy," Working Paper 854, Economics Department, Queen's University.
    11. Holland, John H & Miller, John H, 1991. "Artificial Adaptive Agents in Economic Theory," American Economic Review, American Economic Association, vol. 81(2), pages 365-371, May.
    12. Marimon, Ramon & McGrattan, Ellen & Sargent, Thomas J., 1990. "Money as a medium of exchange in an economy with artificially intelligent agents," Journal of Economic Dynamics and Control, Elsevier, vol. 14(2), pages 329-373, May.
    13. Riccardo Fiorentini, 1991. "Ex ante purchasing power parity: An empirical note," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 127(2), pages 343-355, June.
    14. Michael Goldberg & Roman Frydman, 1993. "Theories, Consistent Expectations and Exchange Rate Dynamics," International Economic Association Series, in: Helmut Frisch & Andreas Wörgötter (ed.), Open-Economy Macroeconomics, chapter 20, pages 377-399, Palgrave Macmillan.
    15. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Haijun Yang & Shuheng Chen, 2018. "A heterogeneous artificial stock market model can benefit people against another financial crisis," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-25, June.
    2. HIGASHIDA Keisaku & TANAKA Kenta & MANAGI Shunsuke, 2018. "Losses on Asset Returns Caused by Perception Gaps of Fundamental Values: Evidence from laboratory experiments," Discussion papers 18008, Research Institute of Economy, Trade and Industry (RIETI).
    3. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
    4. Eric Ringhut & Stefan Kooths, 2003. "Modeling Expectations with GENEFER – an Artificial Intelligence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 21(1), pages 173-194, February.
    5. Jaqueson K. Galimberti & Sergio da Silva, 2012. "An empirical case against the use of genetic-based learning classifier systems as forecasting devices," Economics Bulletin, AccessEcon, vol. 32(1), pages 354-369.
    6. Basci, Erdem, 1999. "Learning by imitation," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1569-1585, September.
    7. Roberto Tamborini, 1997. "A macroeconomic model of bankruptcy," CEEL Working Papers 9702, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    8. Basak, Suryoday & Kar, Saibal & Saha, Snehanshu & Khaidem, Luckyson & Dey, Sudeepa Roy, 2019. "Predicting the direction of stock market prices using tree-based classifiers," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 552-567.

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