A comonotonic image of independence for additive risk measures
By Marc J. Goovaerts, Rob Kaas, Roger J. A. Laeven, Qihe Tang. 2004
70 citations recorded by the source corpus.
Subfields: General Decision Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/7cd831e51ede1507a26e8debdb72e9b13449d74f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Decision Sciences
In Management Science and Operations Research
- Marc J. Goovaerts
- Roger J. A. Laeven
- Rob Kaas
- Michael Kupper
- Amir Ahmadi-Javid
- Walter Schachermayer
- Jan Dhaene
- Alexander Schied
Citations in the corpus
- Representation results for law invariant time consistent functions (2009, background): “[24] it is shown that any risk measure satisfying Eq.”
- Weighted Risk Capital Allocations (2008, unknown): “An example of the weighted allocation when w does not depend on any cdf is Esscher’s allocation, whose detailed study with further references can be found in, e.g., Buhlmann (1980, 1984), Wang (2002, 2007), Goovaerts et al. (2004) , Young (2004), Denuit et al. (2005), Pflug and Romisch (2007) and G”
- Actuarial Risk Measures for Financial Derivative Pricing (2008, methodology): “The proof of this lemma is similar to the proof of Theorem 2 of Gerber and Goovaerts (1981); see Goovaerts et al. (2004) for comments on that proof.”
- Weighted Premium Calculation Principles (2008, unknown): “Classes of such premium calculation principles have been characterized axiomatically by Goovaerts et al. (2004), and Goovaerts and Laeven (in press).”
- Entropic Value-at-Risk: A New Coherent Risk Measure (2012, background): “[22] presented an axiomatic characterization of risk measures that are additive for independent random variables.”
- Decision principles derived from risk measures (2010, background): “In a recent paper, Goovaerts et al. (2004) present a new axiomatic characterizationof risk measures that are additive for independent random variables.”