Third Rutgers-Stevens Workshop
Optimization of Stochastic Systems
Risk-Averse
Optimization
(see the campus map
and driving directions)
Friday, September 30
Building
Consistent Risk Preferences into Stochastic Optimization Models
10:15 – 11:00 Michael Rothkopf
(
Modeling Risk
(in Auctions and Elsewhere)
Robustness and Ambiguity Aversion in Portfolio Optimization and
Derivative Security Pricing
1:15 – 2:00 Andrzej
Ruszczynski (
Risk Aversion
by Stochastic Dominance Constraints
Inverse
Stochastic Dominance Constraints and Rank Dependent Utilities
On the Relation between Multiobjective
Programming and Programming under Probabilistic Constraint
Graduate
Students’ Session
Valid Inequalities for First Order Stochastic Dominance Constraints
Dual Approach to Linear Stochastic
Optimization Problems with Second Order Dominance Constraints
Statistical Tests
for Stochastic Dominance
Saturday, October 1
Optimization of Risk Measures
10:15 – 11:00 Patrick Cheridito
(
Dynamic
Monetary Risk Measures for Processes
11:00 – 11:45 Michael Zabarankin (Stevens Institute of Technology)
Deviation Measures in Risk Analysis
1:15 – 2:00 Garud
Iyengar (
Robust Asset Allocation
Option Pricing Using Recombining Trees
Graduate Students’ Session
Deviation Measures
and Inequalities in Probability Theory
3:20 -- 3:40 Mine Subasi (Rutgers University)
On Strong Unimodality
of n-Dimensional Discrete Distributions
3:40 -- 4:00 Irina Goldman (Stevens Institute of Technology)
On the Distribution of Market Capitalization and
Enterprise Value over Rank: Analytical Treatment and Empirical Findings
4:00 -- 4:20 Xiaoling Hou (Rutgers University)
Monge Property and Bounding
Multivariate Probability Distribution Functions with Given Marginals
and Covariances
4:20 -- 4:40 Linyan Miao (Stevens Institute of Technology)
Empirical Study of Value-at-Risk and
Expected Shortfall Models with Heavy Tails
4:40 -- 5:00 Tongyin Liu (Rutgers University)
Solution of
Probabilistic Constrained Stochastic Programming Problems with Poisson,
Binomial and Geometric Random Variables