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- W1985327891 abstract "Information-theoretic approaches still play a minor role in financial market analysis. Nonetheless, there have been two very similar approaches evolving during the last years, one in the so-called econophysics and the other in econometrics. Both generalize the notion of GARCH processes in an information-theoretic sense and are able to capture kurtosis better than traditional models. In this article we present both approaches in a more general framework. The latter allows the derivation of a wide range of new models. We choose a third model using an entropy measure suggested by Kapur. In an application to financial market data, we find that all considered models – with similar flexibility in terms of skewness and kurtosis – lead to very similar results." @default.
- W1985327891 created "2016-06-24" @default.
- W1985327891 creator A5018127621 @default.
- W1985327891 date "2009-11-01" @default.
- W1985327891 modified "2023-09-25" @default.
- W1985327891 title "Non-extensitivity vs. informative moments for financial models —A unifying framework and empirical results" @default.
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- W1985327891 doi "https://doi.org/10.1209/0295-5075/88/30007" @default.
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