TY  - BOOK
AU  - Ibragimov,Marat
AU  - Ibragimov,Rustam
AU  - Walden,Johan
ED  - SpringerLink (Online service)
TI  - Heavy-Tailed Distributions and Robustness in Economics and Finance
T2  - Lecture Notes in Statistics,
SN  - 9783319168777
AV  - QA276-280 
U1  - 330.015195 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Statistics
KW  - Econometrics
KW  - Statistics for Business/Economics/Mathematical Finance/Insurance
KW  - Statistical Theory and Methods
N1  - Introduction -- Implications of Heavy-tailed ness -- Inference and Empirical Examples -- Conclusion
N2  - 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-tailedness. 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
UR  - http://dx.doi.org/10.1007/978-3-319-16877-7
ER  -