Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
A robust mean absolute deviation model for portfolio optimization
Yongma Moon, Tao Yao
Marcus Department of Industrial and Manufacturing Engineering
Institute for Computational and Data Sciences (ICDS)
Center for Interdisciplinary Mathematics
Research output
:
Contribution to journal
›
Article
›
peer-review
69
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A robust mean absolute deviation model for portfolio optimization'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Robust Mean
100%
Robust Optimization
100%
Mean Absolute Deviation Model
100%
Portfolio Optimization
100%
Steady State
33%
Paper-based Test
33%
Optimization Methods
33%
Computational Complexity
33%
Parameter Uncertainty
33%
Linear Programming
33%
Estimation Error
33%
Market Conditions
33%
Standards Market
33%
Robust Strategy
33%
Robust Portfolio Optimization
33%
Empirically Based
33%
Portfolio Strategy
33%
Real-time Market
33%
Data Market
33%
Mathematics
Standard Deviation
100%
Linear Program
100%
Economics, Econometrics and Finance
Robust Statistics
100%
Neoclassical Growth Model
33%