Abstract
This article reviews several frameworks commonly used in modelling heavy-tailed densities and distributions in economics, finance, risk management, econometrics and statistics. The results and conclusions discussed in the article indicate that the presence of heavy tails can either reinforce or reverse the implications of a number of models in these fields, depending on the degree of heavy-tailedness.
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Acknowledgment
The author gratefully acknowledges partial support by NSF grant SES-0821024, a Harvard Academy Junior Faculty Department grant and the Warburg Research Funds (Department of Economics, Harvard University).
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Ibragimov, R. (2018). Heavy-Tailed Densities. In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95189-5_2978
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DOI: https://doi.org/10.1057/978-1-349-95189-5_2978
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