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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.
| Version: | 0.3.1 |
| Depends: | R (≥ 2.10.0) |
| Imports: | esreg |
| Published: | 2023-09-03 |
| DOI: | 10.32614/CRAN.package.esback |
| Author: | Sebastian Bayer [aut, cre], Timo Dimitriadis [aut] |
| Maintainer: | Sebastian Bayer <sebastian.bayer at uni-konstanz.de> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | esback results |
| Reference manual: | esback.pdf |
| Package source: | esback_0.3.1.tar.gz |
| Windows binaries: | r-devel: esback_0.3.1.zip, r-release: esback_0.3.1.zip, r-oldrel: esback_0.3.1.zip |
| macOS binaries: | r-release (arm64): esback_0.3.1.tgz, r-oldrel (arm64): esback_0.3.1.tgz, r-release (x86_64): esback_0.3.1.tgz, r-oldrel (x86_64): esback_0.3.1.tgz |
| Old sources: | esback archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.