Package: esback 0.3.1

esback: Expected Shortfall Backtesting

Implementations of the expected shortfall backtests of Bayer and Dimitriadis (2020) <doi:10.1093/jjfinec/nbaa013> as well as other well known backtests from the literature. Can be used to assess the correctness of forecasts of the expected shortfall risk measure which is e.g. used in the banking and finance industry for quantifying the market risk of investments. A special feature of the backtests of Bayer and Dimitriadis (2020) <doi:10.1093/jjfinec/nbaa013> is that they only require forecasts of the expected shortfall, which is in striking contrast to all other existing backtests, making them particularly attractive for practitioners.

Authors:Sebastian Bayer [aut, cre], Timo Dimitriadis [aut]

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NEWS

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

Peer review:

Bug tracker:https://github.com/bayerse/esback/issues

Datasets:

On CRAN:

backtestingexpected-shortfall

3 exports 11 stars 1.59 score 11 dependencies 8 scripts 213 downloads

Last updated 1 years agofrom:da9844a162. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-winOKAug 28 2024
R-4.5-linuxOKAug 28 2024
R-4.4-winOKAug 28 2024
R-4.4-macOKAug 28 2024
R-4.3-winOKAug 28 2024
R-4.3-macOKAug 28 2024

Exports:cc_backtester_backtestesr_backtest

Dependencies:esregFormulalatticeMASSMatrixMatrixModelsquantregRcppRcppArmadilloSparseMsurvival