Pattern search for portfolio selection

Autor: Asante Gyamerah, Kwame Nkrumah, Perpetual Saah Andam, Joseph Ackora-Prah
Rok vydání: 2014
Předmět:
Zdroj: Applied Mathematical Sciences. 8:7137-7147
ISSN: 1314-7552
DOI: 10.12988/ams.2014.46425
Popis: In this paper, we present a real life application of Pattern Search (PS) as a heuristic algorithm for the selection of an optimal portfolio of the Ghana Stock Exchange (GSE) market. Practical constraint (boundary and cardinality) model was formulated and a Mesh Adaptive Direct Searh method was applied to solve the model. From the computational results, we show that PS is a powerful and ecient optimization tool when an investor wants to select an optimal portfolio and allocate weights to the portfolio.
Databáze: OpenAIRE