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2013 | 154 | 92-101

Article title

Alternatywne względem ujęcia Markowitza podejście do szacowania stopy zwrotu z portfela

Content

Title variants

EN
Alternative Formulation of Rate-of-Return Estimation in Comparison with Markowitz Approach

Languages of publication

PL

Abstracts

EN
In the study, two approaches of rate-of-return estimation are compared. One of them, that predominates in practice and that is called by the authors heterogeneous, refers to a separate rate-of-return estimation for every individual asset, and then to an interpolation of obtained values in order to asses rate of return for any portfolio with priorly given proportions of assets. The heterogeneous approach is based on premises concerning a proper method of rate-of-return estimation for individual assets, and a specific method of interpolating estimates for any portfolio as well. In contrast, the other approach, called homogeneous, refers to uniform treatment of all portfolios without exceptions, which leads to a direct rate-of-return estimation for any portfolio with priorly given proportions of assets. The essence of both approaches and discrepancies between them are illustrated with use of properly chosen examples (arbitrary and empirical). Examples' analysis indicates some advantage of the homogeneous approach over the heterogeneous one.

Year

Volume

154

Pages

92-101

Physical description

Contributors

References

  • Galus S., Sokołowska K., Optymalizacja portfela na polskim rynku papierów wartościowych, Prace Naukowe WSB w Gdańsku, t. 1, Gdańsk 2008.
  • Jajuga K., Jajuga T., Inwestycje. Instrumenty finansowe, aktywa finansowe, ryzyko finansowe, inżynieria finansowa, Wydawnictwo Naukowe PWN, Warszawa 2006.
  • Markowitz H., Portfolio selection, "The Journal of Finance" 1952, Vol. 7, No. 1.
  • Markowitz H., Portfolio selection. Efficient diversification of investments, John Wiley & Sons, New York 1959.
  • Tarczyński W., Rynki kapitałowe. Metody ilościowe, t. 2, Placet, Warszawa 1997.
  • R Development Core Team (2011). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.

Document Type

Publication order reference

Identifiers

ISSN
2083-8611

YADDA identifier

bwmeta1.element.desklight-17d1f040-a89e-4bc0-9221-33b3ffb7ebfb
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