Loss Distribution Approach in Practice
By A. Frachot, Olivier Moudoulaud, Thierry Roncalli. 2007
116 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c733ed46b87507888a1db09361ef24539405aa1f
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Citations in the corpus
- Aggregating risk capital, with an application to operational risk (2006, methodology): “It is typically impossible to derive analytical expressions for this kind of convolution: MonteCarlo simulations or numerical approximation are used in practice; see Frachot et al. (2004) and H¨ urlimann (2004), respectively.”
- Operational Risk Quantification Using Extreme Value Theory and Copulas: From Theory to Practice (2009, unknown): “This goes along with Frachot et al. (2004b). The rank correlations are in most of the cases quite weak, except BL1/BL9.”
- Determining operational capital at risk: an empirical application to the retail banking (2009, methodology): “Concerning the frequency, and following Frachot et al. (2003), the Poisson distribution is used successfully in the actuarial techniques, and is a suitable candidate since it is characterised by a single parameter (λ), which represents the number of events per year.”
- Model uncertainty and VaR aggregation (2013, methodology): “…(2004) as a matter of example and do not consider here the remaining extra statistical issues underlying a full Operational Risk analysis for which we refer to Frachot et al. (2004) and de Fontnouvelle et al. (2005) and the various references to the Operational Risk literature mentioned before.”
- Improved algorithms for rare event simulation with heavy tails (2006, unknown): “[11] and [14]).”