Dynamic risk measures
By Beatrice Acciaio, Irina Penner. 2010
135 citations recorded by the source corpus.
This paper gives an overview of the theory of dynamic convex risk measures for random variables in discrete time setting. We summarize robust representation results of conditional convex risk measures, and we characterize various time consistency properties of dynamic risk measures in terms of acceptance sets, penalty functions, and by supermartingale properties of risk processes and penalty functions.
Subfields: Demography, Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/b8e8d66af109351fefcaf9c8608f434482127a71
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Demography
In Economics and Econometrics
In Management Science and Operations Research
- Ignacio Cascos
- Ilya S. Molchanov
- Mathew D. Penrose
- Scott Ferson
- Alfred Galichon
- William Oberkampf
- Marc Henry
- Julien Bect
Citations in the corpus
- MULTIVARIATE RISK MEASURES: A CONSTRUCTIVE APPROACH BASED ON SELECTIONS (2013, background): “DOI: 10.1111/mafi.12078 C© 2014 Wiley Periodicals, Inc. 867 Embrechts (2005) for a thorough treatment of univariate risk measures and to Acciaio and Penner (2011) for a recent survey of the dynamic univariate setting.”