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Heavy-Tailed Distributions and Robustness in Economics and Finance
Paperback
Series: Lecture Notes in Statistics, Book 214
Business GeneralEconomicsProbability & Statistics
ISBN13: 9783319168760
Publisher: Springer
Published: Jun 9 2015
Pages: 119
Weight: 0.44
Height: 0.29 Width: 6.14 Depth: 9.21
Language: English
This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. A central theme is that of (non-)robustness, i.e., the fact 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-tailed ness. These results motivate the development and applications of robust inference approaches under heavy tails, heterogeneity and dependence in observations. Several recently developed robust inference approaches are discussed and illustrated, together with applications.
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