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@PHDTHESIS{Brenner:837067,
author = {Brenner, René},
othercontributors = {Maier-Paape, Stanislaus and Zhu, Qiji Jim},
title = {{C}onsistency in portfolio optimization : a new approach
using the general framework of portfolio theory},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2021-11745},
pages = {1 Online-Ressource : Illustrationen},
year = {2021},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2022; Dissertation, RWTH Aachen University, 2021},
abstract = {In line with the general framework of portfolio
optimization this thesis shows strong consistency of
portfolio optimization problems with constrained utility for
lower semi-continuous convex (extended) risk and upper
semi-continuous concave (extended) utility functions. It
also shows measurability of solutions of the empirical
optimization problem. Numerical results are presented
showing the empirical efficient frontier, i.e. the empirical
risk andutility values of numerical solutions to different
utility lower bounds µ, for the so called
empiricallog-drawdown risk setup. Furthermore, a statistical
analysis of consistency of empirical solutions isgiven.
These evaluations are done based on real historical market
data with the software environment POEM which was designed
especially for backtesting portfolio optimizations.},
cin = {111810 / 111920 / 110000},
ddc = {510},
cid = {$I:(DE-82)111810_20140620$ / $I:(DE-82)111920_20140620$ /
$I:(DE-82)110000_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2021-11745},
url = {https://publications.rwth-aachen.de/record/837067},
}