Package: ufRisk Type: Package Title: Risk Measure Calculation in Financial TS Version: 1.0.7 Description: Enables the user to calculate Value at Risk (VaR) and Expected Shortfall (ES) by means of various parametric and semiparametric GARCH-type models. For the latter the estimation of the nonparametric scale function is carried out by means of a data-driven smoothing approach. Model quality, in terms of forecasting VaR and ES, can be assessed by means of various backtesting methods such as the traffic light test for VaR and a newly developed traffic light test for ES. The approaches implemented in this package are described in e.g. Feng Y., Beran J., Letmathe S. and Ghosh S. (2020) as well as Letmathe S., Feng Y. and Uhde A. (2021) . License: GPL-3 Encoding: UTF-8 LazyData: true Imports: esemifar, fracdiff, rugarch, smoots, stats, utils Depends: R (>= 2.10) Authors@R: c( person("Yuanhua", "Feng", role = "aut", comment = "Paderborn University, Germany"), person("Xuehai", "Zhang", role = "aut", comment = "Former research associate at Paderborn University, Germany"), person("Christian", "Peitz", role = "aut", comment = "Paderborn University, Germany"), person("Dominik", "Schulz", role = "aut", comment = "Paderborn University, Germany"), person("Shujie", "Li", role = "aut", comment = "Paderborn Universtiy, Germany"), person("Sebastian", "Letmathe", role = c("aut", "cre"), email = "sebastian.letmathe@uni-paderborn.de", comment = "Paderborn University, Germany")) URL: https://wiwi.uni-paderborn.de/en/dep4/feng/ RoxygenNote: 7.2.3 NeedsCompilation: no Packaged: 2026-06-20 07:41:13 UTC; root Author: Yuanhua Feng [aut] (Paderborn University, Germany), Xuehai Zhang [aut] (Former research associate at Paderborn University, Germany), Christian Peitz [aut] (Paderborn University, Germany), Dominik Schulz [aut] (Paderborn University, Germany), Shujie Li [aut] (Paderborn Universtiy, Germany), Sebastian Letmathe [aut, cre] (Paderborn University, Germany) Maintainer: Sebastian Letmathe Repository: https://cran.r-universe.dev Date/Publication: 2023-10-22 10:30:31 UTC RemoteUrl: https://github.com/cran/ufRisk RemoteRef: HEAD RemoteSha: 9bb6c10244b9ce7494e68e4d5ce75668455ae6e2