Dual characterization of properties of risk measures on Orlicz hearts
By Patrick Cheridito, T. Li. 2008
73 citations recorded by the source corpus.
Subfields: Finance, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8c09b12295f288f67e80c0cd8776dde4e41eef36
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- T. Guo
- Fabio Bellini
- Emanuela Rosazza Gianin
- Long Jiang
- Shige Peng
- Marco Frittelli
- Robert J. R. Elliott
- Samuel N. Cohen
In Management Science and Operations Research
- T. Guo
- Fabio Bellini
- Emanuela Rosazza Gianin
- Long Jiang
- Shige Peng
- Marco Frittelli
- J. Ziegel
- Robert J. R. Elliott
In Statistics and Probability
Citations in the corpus
- Robust return risk measures (2017, unknown): “We refer the interested reader to [1,2,10,11,13,21,28,34] and the references therein for further properties of Orlicz premia and Orlicz spaces and their use in risk measurement and portfolio choice.”
- Recent progress in random metric theory and its applications to conditional risk measures (2010, background): “Since the model space is too narrow to include the important risk models such as normally or log-normally distributed random variables, there is a growing mathematical flnance literature dealing with convex risk measures beyond L 1 , see e.g., [3, 8 ,9,17,53,55,61].”
- Haezendonck-Goovaerts risk measures and Orlicz quantiles (2012, background): “licz spaces We recall the basic definitions on Orlicz spaces following Edgar and Sucheston (1992) and Cheridito and Li (2008, 2009).”
- Representation results for law invariant time consistent functions (2009, unknown): “[26] and Cheridito and Li [10].”