Extreme Value Theory as a Theoretical Background for Power Law Behavior
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Other versions of this item:
- Simone Alfarano & Thomas Lux, 2011. "Extreme value theory as a theoretical background for power law behavior," Working Papers 2011/02, Economics Department, Universitat Jaume I, Castellón (Spain).
- Simone Alfarano & Thomas Lux, 2006. "Extreme Value Theory as a Theoretical Background for Power Law Behaviour," Working Papers wpn06-02, Warwick Business School, Finance Group.
- Alfarano, Simone & Lux, Thomas, 2010. "Extreme value theory as a theoretical background for power law behavior," Kiel Working Papers 1648, Kiel Institute for the World Economy (IfW).
References listed on IDEAS
- Hall, Peter, 1990. "Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems," Journal of Multivariate Analysis, Elsevier, vol. 32(2), pages 177-203, February.
- Drees, Holger & Kaufmann, Edgar, 1998. "Selecting the optimal sample fraction in univariate extreme value estimation," Stochastic Processes and their Applications, Elsevier, vol. 75(2), pages 149-172, July.
- Phillip Kearns & Adrian Pagan, 1997. "Estimating The Density Tail Index For Financial Time Series," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 171-175, May.
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- repec:spr:joevec:v:27:y:2017:i:5:d:10.1007_s00191-017-0504-x is not listed on IDEAS
- Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
- Noemi Schmitt & Frank Westerhoff, 2017.
"Heterogeneity, spontaneous coordination and extreme events within large-scale and small-scale agent-based financial market models,"
Journal of Evolutionary Economics,
Springer, vol. 27(5), pages 1041-1070, November.
- Schmitt, Noemi & Westerhoff, Frank, 2016. "Heterogeneity, spontaneous coordination and extreme events within large-scale and small-scale agent-based financial market models," BERG Working Paper Series 111, Bamberg University, Bamberg Economic Research Group.
More about this item
KeywordsExtreme Value Theory; Power Laws; Tail index;
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2010-09-11 (All new papers)
- NEP-ECM-2010-09-11 (Econometrics)
- NEP-HPE-2010-09-11 (History & Philosophy of Economics)
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