Worst VaR scenarios
By Paul Embrechts, Andrea Höing, Giovanni Puccetti. 2005
58 citations recorded by the source corpus.
Subfields: Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/6414b068c4f71e6a317425b40b4c20fc42ac2684
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Paul Embrechts
- Andrew J. Patton
- Yanqin Fan
- Claudia Czado
- Johana Nešlehová
- Roger J. A. Laeven
- Ludger Rüschendorf
- V. Chavez‐Demoulin
In Management Science and Operations Research
- Paul Embrechts
- Andrew J. Patton
- Ludger Rüschendorf
- Yanqin Fan
- Johana Nešlehová
- Roger J. A. Laeven
- V. Chavez‐Demoulin
- Rob Kaas
Citations in the corpus
- Worst VaR scenarios with given marginals and measures of association (2009, methodology): “Other work related to the problem of Kolmogorov includes, without being exhaustive, Denuit et al. (1999), Nelsen et al. (2001, 2004), Dhaene et al. (2002), Nelsen andÚbeda Flores (2004), Denuit et al. (2005), Embrechts et al. (2005), Embrechts and Puccetti (2006) and Laeven (2009).”
- Aggregating risk capital, with an application to operational risk (2006, methodology): “) typically present in the analysis of OR data, for which we refer to Frachot et al. (2004) and de Fontnouvelle et al.”
- Copulas in Econometrics (2014, background): “The upper bound on F À1 Z ðaÞ in Equation 20 is known as the worst VaR of Z (see Embrechts et al. 2003, 2005).”
- Quantitative models for operational risk: Extremes, dependence and aggregation (2006, methodology): “techniques as explained in Embrechts et al. (2005) , one can construct models for (L1;L2;L3)”
- Model uncertainty and VaR aggregation (2013, background): “In Embrechts et al. (2005), the bound (26) is given in a slightly more complicated form for any set of marginal distributions.”