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A Behavioral Finance Model of the Exchange Rate with Many Forecasting Rules

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Author Info
Paul De Grauwe ()
Pablo Rovira Kaltwasser ()

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Abstract

This paper presents a behavioral finance model of the exchange rate. Agents forecast the exchange rate by means of very simple rules. They can choose between three groups of forecasting rules: fundamentalist, extrapolative and momentum rules. Agents using a fundamentalist rule are not able to observe the true value of the fundamental exchange and therefore have to rely on an estimate of this variable to make a forecast. Based on simulation analysis we find that two types of equilibria exist, a fundamental and a non-fundamental one. Both the probability of finding a particular type of equilibrium and the probability of switching between different types of equilibria depend on the number of rules available to agents. Furthermore, we find that the exchange rate dynamics is sensitive to initial conditions and to the risk perception about the underlying fundamental. Both results are dependent on the number of forecasting rules.

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Publisher Info
Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number CESifo Working Paper No. 1849.

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Date of creation: 2006
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Handle: RePEc:ces:ceswps:_1849

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Find related papers by JEL classification:
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
F31 - International Economics - - International Finance - - - Foreign Exchange

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  1. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August. [Downloadable!] (restricted)
  2. repec:att:wimass:19956 is not listed on IDEAS
  3. Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard H, 1991. "The Endowment Effect, Loss Aversion, and Status Quo Bias: Anomalies," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter. [Downloadable!] (restricted)
  4. Alan Kirman & Gilles Teyssière, 2002. "Microeconomic Models for Long Memory in the Volatility of Financial Time Series," Studies in Nonlinear Dynamics & Econometrics, Berkeley Electronic Press, vol. 5(4), pages 1083-1083. [Downloadable!] (restricted)
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  5. repec:att:wimass:199530 is not listed on IDEAS
  6. Lux, Thomas & Schornstein, Sascha, 2005. "Genetic learning as an explanation of stylized facts of foreign exchange markets," Journal of Mathematical Economics, Elsevier, vol. 41(1-2), pages 169-196, February. [Downloadable!] (restricted)
    Other versions:
  7. William A. Brock & Cars H. Hommes, 1995. "Rational Routes to Randomness," Working Papers 95-03-029, Santa Fe Institute.
  8. Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June. [Downloadable!] (restricted)
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