Heavy-Tailed Distributions and Robustness in Economics and Finance
-
- $59.99
-
- $59.99
Publisher Description
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.
More Books Like This
Extreme Events in Finance
2016
Risk Measures and Attitudes
2013
Numerical Methods in Finance
2005
Handbook Of The Fundamentals Of Financial Decision Making (In 2 Parts)
2013
Mathematical and Statistical Methods for Actuarial Sciences and Finance
2014
Copulae and Multivariate Probability Distributions in Finance
2013