A Bi-Objective Portfolio Optimization with Conditional Value-at-Risk
Journal Title: Decision Making in Manufacturing and Services - Year 2010, Vol 4, Issue 1
Abstract
This paper presents a bi-objective portfolio model with the expected return as a performance measure and the expected worst-case return as a risk measure. The problems are formulated as a bi-objective linear program. Numerical examples based on 1000, 3500 and 4020 historical daily input data from the Warsaw Stock Exchange are presented and selected computational results are provided. The computational experiments prove that the proposed linear programming approach provides the decision maker with a simple tool for evaluating the relationship between the expected and the worst-case portfolio return.
Authors and Affiliations
Bartosz Sawik
Ant Algorithm for AP-N Aimed at Optimization of Complex Systems
Assignment Problem (AP), which is well known combinatorial problem, has been studied extensively in the course of many operational and technical researches. It has been shown to be NP-hard for three or more dimensions an...
Corrigendum to ”Neighbourhood Properties in Some Single Processor Scheduling Problem with Variable Efficiency and Additional Resources”
Amendment to [Decision Making in Manufacturing and Services, vol. 5 (1–2), 2011, pp. 5–17
On Efficient Coloring of Chordless Graphs
We are given a simple graph G = (V, E). Any edge e ∈ E is a chord in a path P ⊆ G (cycle C ⊆ G) iff a graph obtained by joining e to path P (cycle C) has exactly two vertices of degree 3. A class of graphs without any ch...
Scheduling of Identical Jobs with Bipartite Incompatibility Graphs on Uniform Machines. Computational Experiments
In the paper we consider the problem of scheduling of unit-length jobs on 3 or 4 uniform parallel machines to minimize schedule length or total completion time. We assume that jobs are subject to some kind of mutual excl...
Analogous Forecasting of Products with a Short Life Cycle
Managing a supply chain for products with a short life cycle, like fashion apparel, high-tech, personal computers, toys, CD’s etc., is challenging for many companies (Fisher and Raman, 1999). Because the life cycles of t...