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]

esback_0.3.1.tar.gz
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esback_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
esback/json (API)

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

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

Datasets:

On CRAN:

Conda:

backtestingexpected-shortfall

4.16 score 13 stars 22 scripts 279 downloads 3 exports 11 dependencies

Last updated from:da9844a162. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK160
source / vignettesOK167
linux-releaseOK111
macos-releaseOK179
macos-oldrelOK183
windows-develOK63
windows-releaseOK83
windows-oldrelOK59
wasm-releaseOK126

Exports:cc_backtester_backtestesr_backtest

Dependencies:esregFormulalatticeMASSMatrixMatrixModelsquantregRcppRcppArmadilloSparseMsurvival