Author
Abstract
Purpose: In Markowitz’s traditional portfolio analysis, only the close price is used to build an investment portfolio. This type of price is commonly regarded as an axiom. As such, this article aims to prove that the close price is not the best type of price. Using the close price means that a portfolio which appears optimal is far from it. Under certain assumptions, it can be demonstrated that the close price should not be used. Design/Methodology/Approach: For the purposes of this study, 20 currency pairs were selected for analysis, from which portfolios of two assets were created. However, the best portfolios were additionally selected based on three “research spaces”, five moving average lengths, and seven types of prices (including the close price). A total of 13,300 different portfolios of two assets were created. All portfolios were calculated using real Forex data. The author created an original subroutine for the MetaTrader4 trading platform to build this enormous number of portfolios. It enabled online data collection and calculation of the entire portfolio population. A time frame of 15 minutes (M15) was used for this purpose. Findings: Thanks to such a large research sample, it was proven that the close price is not the best for building an investment portfolio. Within six hours, one of the prices gave an actual result that was 11,133.3% higher than that for the portfolio with the close price. This study proved the following hypotheses: “Selecting an optimal portfolio (in the traditional sense) using the close price is not an optimal solution”, and “The close price is not the best price for building an investment portfolio.” Practical Implications: Empirically verified knowledge about the use of different types of prices may prove useful for all (investment companies, investors, researchers, students) who have so far only used the close price. Originality/Value: No one has yet combined statistical knowledge, portfolio analysis, and MetaTrader4 trading platform software with an M15 time frame. No other studies using portfolio analysis question the axiom of using the close price in any market (including the Forex market).
Suggested Citation
Krzysztof Bednarz, 2025.
"Alternative Prices Under Markowitz’s Portfolio Model for FOREX Transactions,"
European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 990-1017.
Handle:
RePEc:ers:journl:v:xxviii:y:2025:i:2:p:990-1017
Download full text from publisher
More about this item
Keywords
;
;
;
;
;
;
JEL classification:
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ers:journl:v:xxviii:y:2025:i:2:p:990-1017. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.