Title
Minimal sufficient conditions for a primal optimizer in nonsmooth utility maximization.
Abstract
We continue the study of utility maximization in the nonsmooth setting and give a counterexample to a conjecture made in Deelstra et al. (Ann. Appl. Probab. 11:1353–1383, 2001) on the optimality of random variables valued in an appropriate subdifferential. We derive minimal sufficient conditions on a random variable for it to be a primal optimizer in the case where the utility function is not strictly concave.
Year
DOI
Venue
2011
10.1007/s00780-010-0128-6
Finance and Stochastics
Keywords
Field
DocType
random variable
Mathematical economics,Random variable,Mathematical optimization,Convex duality,Subderivative,Utility maximization,Counterexample,Conjecture,Mathematics
Journal
Volume
Issue
ISSN
15
3
1432-1122
Citations 
PageRank 
References 
1
0.44
2
Authors
2
Name
Order
Citations
PageRank
Nicholas Westray110.78
Harry Zheng2289.30