Optimization of Convex Risk Functions
Andrzej Ruszczynski () and
Alexander Shapiro ()
Risk and Insurance from University Library of Munich, Germany
We consider optimization problems involving convex risk functions. By employing techniques of convex analysis and optimization theory in vector spaces of measurable functions we develop new representation theorems for risk models, and optimality and duality theory for problems involving risk functions.
Keywords: Convex analysis; stochastic optimization; risk measures; mean- variance models; duality (search for similar items in EconPapers)
Date: 2004-04-12, Revised 2005-10-08
Note: Type of Document - pdf; pages: 26
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Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpri:0404001
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