Package: Risk 1.0

Risk: Computes 26 Financial Risk Measures for Any Continuous Distribution

Computes 26 financial risk measures for any continuous distribution. The 26 financial risk measures include value at risk, expected shortfall due to Artzner et al. (1999) <doi:10.1007/s10957-011-9968-2>, tail conditional median due to Kou et al. (2013) <doi:10.1287/moor.1120.0577>, expectiles due to Newey and Powell (1987) <doi:10.2307/1911031>, beyond value at risk due to Longin (2001) <doi:10.3905/jod.2001.319161>, expected proportional shortfall due to Belzunce et al. (2012) <doi:10.1016/j.insmatheco.2012.05.003>, elementary risk measure due to Ahmadi-Javid (2012) <doi:10.1007/s10957-011-9968-2>, omega due to Shadwick and Keating (2002), sortino ratio due to Rollinger and Hoffman (2013), kappa due to Kaplan and Knowles (2004), Wang (1998)'s <doi:10.1080/10920277.1998.10595708> risk measures, Stone (1973)'s <doi:10.2307/2978638> risk measures, Luce (1980)'s <doi:10.1007/BF00135033> risk measures, Sarin (1987)'s <doi:10.1007/BF00126387> risk measures, Bronshtein and Kurelenkova (2009)'s risk measures.

Authors:Saralees Nadarajah, Stephen Chan

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Risk/json (API)

# Install 'Risk' in R:
install.packages('Risk', repos = c('https://mbbsssn2.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda-Forge:

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

2.49 score 31 scripts 259 downloads 114 mentions 26 exports 0 dependencies

Last updated 8 years agofrom:f05e2ce1df. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
R-4.5-winOKFeb 15 2025
R-4.5-macOKFeb 15 2025
R-4.5-linuxOKFeb 15 2025
R-4.4-winOKFeb 15 2025
R-4.4-macOKFeb 15 2025
R-4.3-winOKFeb 15 2025
R-4.3-macOKFeb 15 2025

Exports:BKg1BKg2BKg3BKg4bvarepsgesgexpectexppexpvarkappagluceg1luceg2luceg3luceg4omegagsaring1saring2saring3sortinogstoneg1stoneg2tcmvargwangg1wangg2

Dependencies: