Duality in risk aggregation

التفاصيل البيبلوغرافية
العنوان: Duality in risk aggregation
المؤلفون: Hauser, R, Shahverdyan, S, Embrechts, P
المساهمون: Glau, K, Scherer, M, Zagst, R
بيانات النشر: Springer, Cham
سنة النشر: 2019
المجموعة: Oxford University Research Archive (ORA)
الوصف: A fundamental problem in risk management is the robust aggregation of different sources of risk in a situation where little or no data are available to infer information about their dependencies. A popular approach to solving this problem is to formulate an optimization problem under which one maximizes a risk measure over all multivariate distributions that are consistent with the available data. In several special cases of such models, there exist dual problems that are easier to solve or approximate, yielding robust bounds on the aggregated risk. In this chapter, we formulate a general optimization problem, which can be seen as a doubly infinite linear programming problem, and we show that the associated dual generalizes several well-known special cases and extends to new risk management models we propose.
نوع الوثيقة: book part
اللغة: unknown
Relation: https://ora.ox.ac.uk/objects/uuid:2b87110a-f06b-4cc0-bb2b-2a6726b5984b; https://doi.org/10.1007/978-3-319-09114-3_22
DOI: 10.1007/978-3-319-09114-3_22
الاتاحة: https://doi.org/10.1007/978-3-319-09114-3_22
https://ora.ox.ac.uk/objects/uuid:2b87110a-f06b-4cc0-bb2b-2a6726b5984b
Rights: info:eu-repo/semantics/openAccess ; CC Attribution-NonCommercial (CC BY-NC)
رقم الانضمام: edsbas.FDBAE8BB
قاعدة البيانات: BASE
الوصف
DOI:10.1007/978-3-319-09114-3_22