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Browsing by Author "Pichler, Alois"
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2015-09-14BuchConvergence of the Smoothed Empirical Process in Nested Distance Pflug, Georg Ch.; Pichler, AloisThe nested distance, also process distance, provides a quantitative measure of distance for stochastic processes. It is the crucial and determining distance for stochastic optimization problems.In this paper we demonstrate ...
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2014-10-16BuchDynamic Generation of Scenario Trees Pflug, Georg Ch.; Pichler, AloisWe present new algorithms for the dynamic generation of scenario trees for multistagestochastic optimization. The different methods described are based on random vectors, whichare drawn from conditional distributions given ...
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2011-11-28BuchMultistage Optimization Pflug, Georg Ch.; Pichler, AloisWe provide a new identity for the multistage Average Value-at-Risk. The identity is based on the conditional Average Value-at-Risk at random level, which is introduced. It is of interest in situations, where the information ...
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2011-11-28BuchOn the Geometry of Acceptability Functionals Pichler, AloisIn this paper we discuss the geometry of acceptability functionals or risk measures. The dependenceof the random variable is investigated first. The main contribution and focus of this paper is to studyhow acceptability ...
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2017-04-19BuchQuantitative Stability Analysis for Minimax Distributionally Robust RiskOptimization Pichler, Alois; Xu, HuifuThis paper considers distributionally robust formulations of a two stage stochastic programmingproblem with the objective of minimizing a distortion risk of the minimal cost incurred at the secondstage.We carry out stability ...
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2015-09-16BuchRisk measures for vector-valued returns Pichler, AloisPortfolios, which are exposed to different currencies, have separate and different returns ineach individual currency and are thus vector-valued in a natural way.This paper investigates the natural domain of these risk ...
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2013-04-09BuchThe Natural Banach Space for Version Independent Risk Measures Pichler, AloisRisk measures, or coherent measures of risk are often considered on the space $L^\infty$, andimportant theorems on risk measures build on that space. Other risk measures, among themthe most important risk measure – the ...