𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Comparing downside risk measures for heavy tailed distributions

✍ Scribed by Jón Daníelsson; Bjørn N. Jorgensen; Mandira Sarma; Casper G. de Vries


Book ID
116421359
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
101 KB
Volume
92
Category
Article
ISSN
0165-1765

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Inference for heavy tailed distributions
✍ K.B. Athreya; S.N. Lahiri; Wei Wu 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 585 KB

Let X ~, X 2 .... be a sequence of independent and identically distributed random variables in the domain of attraction of a stable law of order ~ and asymmetry parameter ft. This paper develops some large sample inference procedures for the population mean l/ and parameters ~ and ft. Three differen

High quantile estimation for heavy-taile
✍ N.M. Markovich 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 245 KB

Different estimators of high quantiles, such as x c p proposed in [N.M. Markovitch, U.R. Krieger, The estimation of heavy-tailed probability density functions, their mixtures and quantiles. Computer Networks 40 (3) (2002) 459-474], Weissman's estimator x w p and the POT-method are considered. Regard

Measuring downside risk and severity for
✍ Yan Wang; Yudong Yao 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 124 KB

## Abstract This paper attempts to provide a critical measure of downside risk and severity for global output by applying the Value at Risk approach to four country groups in the world as a ‘portfolio’. Global output downside risk, measured by global Growth at Risk (GaR), estimates the worst possib