Efficient Method for Assets Allocation

Asset allocation requires allotting savings among many assets. The goal of investors is to minimize risk at a given returns or/and maximize returns at a specified risk. The aim of this paper is to compare two asset allocations, Black Litterman model (BLM) and Mean Variance Model (MVM). The data used are groundnut oil, palm oil and palm kernel oil. The data is used to estimate values of risk and returns using both asset allocations to estimate risk and return of the three assets. It is observed that BLM minimizes risk and maximizes the return of its portfolio better than MVM.

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Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.905000329
Primary Topic
Banking stability, regulation, efficiency
Type
article
Field-Weighted Citation Impact
0.00
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article

Efficient Method for Assets Allocation

Dare Jayeola, Peter O. Olatunji, Y. J. Aborisade
International Journal of Research and Innovation in Social Science
Banking stability, regulation, efficiency
article

Efficient Method for Assets Allocation

Dare Jayeola, Peter O. Olatunji, Y. J. Aborisade
article en

Abstract

Asset allocation requires allotting savings among many assets. The goal of investors is to minimize risk at a given returns or/and maximize returns at a specified risk. The aim of this paper is to compare two asset allocations, Black Litterman model (BLM) and Mean Variance Model (MVM). The data used are groundnut oil, palm oil and palm kernel oil. The data is used to estimate values of risk and returns using both asset allocations to estimate risk and return of the three assets. It is observed that BLM minimizes risk and maximizes the return of its portfolio better than MVM.

International Journal of Research and Innovation in Social ScienceVol. IX(V)
Openalex Percentile: Top 82%
Banking stability, regulation, efficiency
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