Package: ExtremeRisks 0.0.4

ExtremeRisks: Extreme Risk Measures

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) <arxiv:2004.04078>, Padoan and Stupfler (2020) <arxiv:2007.08944>, 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>.

Authors:Simone Padoan [cre, aut], Gilles Stupfler [aut], Bocconi Institute for Data Science and Analytics [fnd], French National Research [fnd]

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ExtremeRisks.pdf |ExtremeRisks.html
ExtremeRisks/json (API)

# Install 'ExtremeRisks' in R:
install.packages('ExtremeRisks', repos = c('https://simonepadoan.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • dowjones - Negative log-returns of DOW JONES.
  • sp500 - Negative log-returns of S&P 500.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

19 exports 1 stars 0.09 score 19 dependencies 3 scripts 214 downloads

Last updated 4 years agofrom:5bcbc44f8a. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 31 2024
R-4.5-winNOTEAug 31 2024
R-4.5-linuxNOTEAug 31 2024
R-4.4-winNOTEAug 31 2024
R-4.4-macNOTEAug 31 2024
R-4.3-winNOTEAug 31 2024
R-4.3-macNOTEAug 31 2024

Exports:EBTailIndexestExpectilesestExtLevelestMultiExpectilesexpectilesExpectMESextMultiQuantileextQuantileHTailIndexHypoTestingMLTailIndexMomTailIndexMultiHTailIndexpredExpectilespredMultiExpectilesQuantMESrbtimeseriesrmdatartimeseries

Dependencies:ADGofTestcolorspacecopulaevdgmmgsllatticeMatrixmisc3dmvtnormnumDerivpcaPPplot3Dpracmapsplinesandwichstabledisttmvtnormzoo