portvine

Vine Based (Un)Conditional Portfolio Risk Measure Estimation

CRAN Package

Following Sommer (2022) https://mediatum.ub.tum.de/1658240 portfolio level risk estimates (e.g. Value at Risk, Expected Shortfall) are estimated by modeling each asset univariately by an ARMA-GARCH model and then their cross dependence via a Vine Copula model in a rolling window fashion. One can even condition on variables/time series at certain quantile levels to stress test the risk measure estimates.


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