IDEAS home Printed from https://ideas.repec.org/a/col/000520/023326.html

Optimization of Peruvian mutual fund portfolios using the Markowitz and Black-Litterman Models, 2010–2025

Author

Listed:
  • Luis Enrique Cayatopa-Rivera

    (Universidad Católica Sedes Sapientiae)

  • Carmen Patricia Peralta-Gonzales

    (Universidad Nacional de Huancavelica)

  • Lily Tatiana León-Echevarría

    (Universidad Nacional Hermilio Valdizán de Huánuco)

  • Henry Cóndor-Lucchini

    (Universidad Nacional Mayor de San Marcos)

Abstract

Introduction: This study analyzes the optimization of Peruvian mutual fund portfolios and the effect of the denomination currency on the relationship between risk, return, and diversification. Objective: To compare the performance of the Markowitz and Black-Litterman models in estimating efficient frontiers and constructing optimal portfolios for mutual funds denominated in soles, dollars, and an integrated portfolio combining both currencies during 2010–2025. Methodology: A quantitative, non-experimental, longitudinal study was conducted using monthly quota values of 31 mutual funds reported by Peru’s Superintendencia del Mercado de Valores. Returns, volatilities, Sharpe ratios, tangent portfolios, and efficient frontiers were calculated under non-negativity and maximum asset-weight constraints. Results: Soles-denominated funds showed greater relative efficiency; Markowitz produced more conservative portfolios and better Sharpe ratios, while Black-Litterman achieved higher cumulative returns in dollar and integrated portfolios, albeit with greater volatility. Discussion: The findings confirm that portfolio efficiency does not depend solely on the optimization model, but also on the denomination currency, the risk structure of the funds, and the evaluation criterion adopted. In this regard, Markowitz proves more consistent for defensive strategies oriented toward risk-adjusted efficiency, while Black-Litterman allows incorporating market expectations and shifting the portfolio toward higher potential returns, with greater risk exposure. Conclusions: Both models are complementary; Markowitz favors risk-adjusted efficiency, and Black-Litterman incorporates expectations to expand return opportunities.

Suggested Citation

  • Luis Enrique Cayatopa-Rivera & Carmen Patricia Peralta-Gonzales & Lily Tatiana León-Echevarría & Henry Cóndor-Lucchini, 2026. "Optimization of Peruvian mutual fund portfolios using the Markowitz and Black-Litterman Models, 2010–2025," Revista Tendencias, Universidad de Narino, vol. 27(02), pages 147-173, July.
  • Handle: RePEc:col:000520:023326
    DOI: 10.22267/rtend.26272.300
    as

    Download full text from publisher

    File URL: https://revistas.udenar.edu.co/index.php/rtend/article/view/10408
    Download Restriction: no

    File URL: https://revistas.udenar.edu.co/index.php/rtend/article/view/10408/11312
    Download Restriction: no

    File URL: https://libkey.io/10.22267/rtend.26272.300?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    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:col:000520:023326. 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: Universidad de Narino The email address of this maintainer does not seem to be valid anymore. Please ask Universidad de Narino to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/fenarco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.