Int. J. Simul. Multidisci. Des. Optim.
Volume 13, 2022
Simulation and Optimization for Industry 4.0
|Number of page(s)||11|
|Published online||08 February 2022|
Optimization of equity allocations of institutional investors: study of Moroccan case
Research Laboratory in Management Sciences Organizations, ENCG, Ibn Tofail University, Kenitra, Morocco
2 LSI Lab – ENSA, Ibn Tofail University, Kenitra, Morocco
* e-mail: firstname.lastname@example.org
Accepted: 29 November 2021
Institutional investors normally define the market segments that present more opportunities for profitability based on their commitments, their financial and accounting situations and the regulations that govern the structure of their investments in equities, bonds, real estate and infrastructure. Their investment strategies consist of defining the allocation of their assets after having fixed the proportion to be invested in each segment. We will try through this work to estimate and optimize the parts of assets invested in shares of pension funds, insurance companies and UCITS (Undertakings for Collective Investments in Transferable Securities), according to their degree of integration into the Moroccan economy, weight of their assets in market capitalization and by the heterogeneity that characterizes their investment decisions on the capital market. Panel data are well suited to our analysis in the sense that they allow us to measure the impact of several actions (stimuli), alone or simultaneously, and the synergies (interactions) of data, which are numerous on investors and on market indicators on the financial market. The results obtained illustrate that the weight of equity investments in portfolios under management of institutional investors are impacted by the share of investors' equity portfolio in market capitalization and by the total assets of this category of investors compared to Morocco's GDP (Gross domestic product).
Key words: Institutional investors / capital market / allocation / casablanca stock exchange / liquidity / volatility / random effects model
© M. Bouchekourte and N. El Hami, Published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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