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Models of Artificial Foreign Exchange Markets

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Part of the book series: Centre de Physique des Houches ((LHWINTER,volume 7))

Abstract

Economic processes are difficult to describe and understand because there is no theory explaining them in the same way as the more classical phenomena appearing in physical sciences. Yet, economic processes play a crucial role in our everyday life and there is a great deal of effort devoted to predict future trends and understand how the various parameters may affect the evolution.

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References

  1. Domimique M. Guillaume, Michel M. Dacorogna, Rakhal R. Davé, Ulrich A. Müller, Richard B. Olsen, and Olivier V. Pictet. From the bird’s eye to the microscope: A survey of new stylized facts of the intra–daily foreign exchange markets. Discussion paper DMG.1994–04–06, Olsen & Associates, Seefeldstrasse 233, CH–8008 Zürich, 1994.

    Google Scholar 

  2. Rosario N. Mantegna and H. Eugene Stanley. Scaling behaviour in the dynamics of an economic index. Nature, 376: 46–49, July 1995.

    Article  ADS  Google Scholar 

  3. W. Brian Arthur. Complexity in economics and financial markets. Complexity, 1: 20–25, 1995.

    MATH  Google Scholar 

  4. Blake LeBaron. Experiments in evolutionary finance. Technical report, University of Wisconsin, 1995.

    Google Scholar 

  5. M. Levy, H. Levy, and S. Solomon. Microscopic simulation of the stock market. J. de Phys. I (France), 5: 1087, 1995.

    Article  ADS  Google Scholar 

  6. O.V. Pictet, M.M Dacorogna, U.A. Mueller, R.B. Olsen and J.R. Ward. Real-time trading models for foreign exchange rate. Neural Network World, 6: 713–744, 1992.

    Google Scholar 

  7. Ulrich A. Müller, Michel M. Dacorogna, Rakhal D. Davé, Richard B. Olsen, Olivier V. Pictet, and Jakob E. von Weizsäcker. Volatilities of different time resolutions: Analysing the dynamics of market components. Preprint UAM.1995–01–12, Olsen & Associates, Seefeldstrasse 233, CH–8008 Zürich, 1995.

    Google Scholar 

  8. P. Bak, M. Paczuski, and M. Shubik. Price variations in a stock market with many agents. Technical report, Brookhaven National Laboratory, Upton NY 11973, 1996.

    Google Scholar 

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© 1997 Springer-Verlag Berlin Heidelberg

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Chopard, B., Chatagny, R. (1997). Models of Artificial Foreign Exchange Markets. In: Dubrulle, B., Graner, F., Sornette, D. (eds) Scale Invariance and Beyond. Centre de Physique des Houches, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-09799-1_15

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  • DOI: https://doi.org/10.1007/978-3-662-09799-1_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64000-4

  • Online ISBN: 978-3-662-09799-1

  • eBook Packages: Springer Book Archive

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