Imperial College London
Alternate

ProfessorRustamIbragimov

Business School

Professor of Finance and Econometrics
 
 
 
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Contact

 

+44 (0)20 7594 9344i.rustam Website CV

 
 
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Location

 

40953 Prince's GateSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@book{Ibragimov:2015:10.1007/978-3-319-16877-7,
author = {Ibragimov, M and Ibragimov, R and Walden, J},
doi = {10.1007/978-3-319-16877-7},
publisher = {Springer},
title = {Heavy-tailed distributions and robustness in economics and finance},
url = {http://dx.doi.org/10.1007/978-3-319-16877-7},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - BOOK
AB  - 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.
AU  - Ibragimov,M
AU  - Ibragimov,R
AU  - Walden,J
DO  - 10.1007/978-3-319-16877-7
PB  - Springer
PY  - 2015///
SN  - 978-3-319-16877-7
TI  - Heavy-tailed distributions and robustness in economics and finance
UR  - http://dx.doi.org/10.1007/978-3-319-16877-7
UR  - http://www.springer.com/us/book/9783319168760
ER  -
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