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Microeconomic Models for Long-Memory in the Volatility of Financial Time Series Author info | Abstract | Publisher info | Download info | Related research | Statistics Alan P. Kirman, Gilles Teyssiere
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We show that a class of microeconomic behavioral models with interacting agents, introduced by Kirman (1991,1993), can replicate the empirical long-memory properties of the two first conditional moments of financial time series. The essence of these models is that the forecasts and thus the desired trades of individuals are influenced, directly or indirectly by those of the other participants. These "field effects" generate herding behaviour which affects the structure of the asset price dynamics. The series of squared returns and absolute returns generated by these models display long-memory, while the returns are uncorrelated. Furthermore, this class of modesl is also able to replicate the common long-memory properties in the volatility and co-volatility of financial time-series uncovered by Teyssiere (1997,1998). These properties are investigated by using various semiparametric and non-parametric tests and estimators.
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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2001 with number
221.
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Date of creation: 01 Apr 2001Date of revision:
Handle: RePEc:sce:scecf1:221Contact details of provider: Email: Web page: http://www.econometricsociety.org/conference/SCE2001/SCE2001.html More information through EDIRC
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Keywords: long-memory ; microeconomic models ; field effects ; Other versions of this item:
Article Paper KIRMAN, Alan & TEYSSIéRE, Gilles, 2002.
"Microeconomic models for long-memory in the volatility of financial time series ,"
CORE Discussion Papers
2002056, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
[Downloadable!] Gilles Teyssière & Alan Kirman, 2001.
"Microeconomic Models for Long-Memory in the Volatility of Financial Time Series ,"
CeNDEF Workshop Papers, January 2001
5A.4, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
This paper has been announced in the following NEP Reports :
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