CRAN/E | ExtremeRisks

ExtremeRisks

Extreme Risk Measures

Installation

About

A set of procedures for estimating risks related to extreme events via risk measures such as Expectile, Value-at-Risk, etc. is provided. Estimation methods for univariate independent observations and temporal dependent observations are available. The methodology is extended to the case of independent multidimensional observations. The statistical inference is performed through parametric and non-parametric estimators. Inferential procedures such as confidence intervals, confidence regions and hypothesis testing are obtained by exploiting the asymptotic theory. Adapts the methodologies derived in Padoan and Stupfler (2020) , Padoan and Stupfler (2020) , Daouia et al. (2018) doi:10.1111/rssb.12254, Drees (2000) doi:10.1214/aoap/1019487617, Drees (2003) doi:10.3150/bj/1066223272, de Haan and Ferreira (2006) doi:10.1007/0-387-34471-3, de Haan et al. (2016) doi:10.1007/s00780-015-0287-6.

Key Metrics

Version 0.0.4
R ≥ 3.5.0
Published 2020-08-27 1341 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Simone Padoan

simone.padoan@unibocconi.it

Authors

Simone Padoan

cre / aut

Gilles Stupfler

aut

Bocconi Institute for Data Science
Analytics

fnd

French National Research

fnd

(grant ANR-19-CE40-0013-01/ExtremReg)

Material

Reference manual
Package source

In Views

ExtremeValue

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ExtremeRisks archive

Depends

R ≥ 3.5.0

Imports

evd
copula
mvtnorm
plot3D
tmvtnorm
pracma