- Tytuł:
- The Application of genetic algorithms for the selection of WSE companies in Warsaw for the investment portfolio
- Autorzy:
-
Basiura, Beata
Motyczyńska, Joanna - Powiązania:
- https://bibliotekanauki.pl/articles/1818470.pdf
- Data publikacji:
- 2020
- Wydawca:
- Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
- Tematy:
-
Markowitz model
investment portfolio
genetic algorithm - Opis:
- Portfolio analysis is a tool particularly intended for investors. Risk assessment and risk specification make the investor able to properly diversify and offset the portfolio. Broadly speaking, there are multiple tools destined for building up an efficient set of portfolios. One of them is Markowitz’s model theory postulating building up a portfolio determined on the basis of equilibrium between expected profit level as well as accepted level of risk assessment. In the context of this paper, the objective is to shed some light on creating investment portfolios based on either Markowitz's portfolio theory or evolutionary algorithm. The simulation based methods for building up a portfolio of approximately 40-50 companies listed out in the primary marketof the Warsaw Stock Exchange using the selection function proposed in the BA thesis were presented. Portfolio profit values have been evaluated in a dynamically shifted time window. The conducted analysis showed shifts in the economy at certain periods of time. The implemented genetic algorithms smoothly handled the optimization with a relatively short processing time of the task result.
- Źródło:
-
Decision Making in Manufacturing and Services; 2020, 14, 1; 91--126
1896-8325
2300-7087 - Pojawia się w:
- Decision Making in Manufacturing and Services
- Dostawca treści:
- Biblioteka Nauki
Artykuł