Portfolio Diversification Strategy and the Impacts on the Middle East Real Estate Investment Decision
Notice bibliographique
Résumé
This paper identified and examined the possible impacts of portfolio diversification strategy on the generated Property Companies’ (PCs) stocks returns, and the real estate industry performance and risk in the Middle East Real Estate Industry (MEREI) observed over the time period from Feb. 2008 to Feb. 2012. It is important to mention that there are two components of portfolio risk; the first one is non-systematic risk which can be diversified. The second one is systematic or non-diversifiable risk, which cannot be reduced by portfolio diversification; it is also called the market risk. Also, in order to measure the effectiveness of the portfolio, there are two critical variables must be considered, standard deviation and beta. The standard deviation reflects the unsystematic or company specific risk which can be avoided by diversification. However beta measures the type and degree of relationship between the company and the market, where it is very important for the investor to know how much the stock price will change due to a given change in the market. This paper clarifies the impact of diversification on the portfolio performance by including different companies from different sectors in one portfolio, and measuring both risk and return for this portfolio. This paper also aims to recommend the local and regional real estate industry investors as to how useful the diversification strategy is. The first impact considered in this paper is the independent relationship between the real estate portfolio diversification strategy and the PCs stocks returns generated by the portfolios from single stock to the portfolios of ten stocks. This study explains the second impact in terms of the relationship between the systematic risk (beta) of the PC stock and the degree of its correlation with the local and regional markets. The impact of portfolio diversification strategy on the non-systematic risk (standard deviation) is also being considered in this paper. Hence, by increasing the number of PCs stocks in the portfolio this risk can be eliminated. The final issue that the paper addresses is the advices to the investors that the portfolio diversification is a passive strategy and to secure maximum returns and lowest risk, which it is necessary to actively monitor their real estate portfolio and switch among investments if necessary. This study concluded that the investment from the ninth asset portfolio holds only the systematic risk of 0.005%. At this point the diversifiable risk is zero and the only risk that is relevant is the systematic or non-diversifiable or the company specific risk of 0.005% which cannot be eliminated even if an 11th asset is added to the portfolio. Also the study concluded that it is evident that there is no distinct relationship between expected return and the number of real estate assets held in the portfolio. In other words, the principle of diversification has nothing to do with the returns that the real estate assets in the portfolio generate together. In fact, it is the correlation of the return of these listed property companies with the real estate markets in the Middle East. The study recommended the investors in the Middle East to actively review their Real Estate portfolio and interchange the combinations of the assets in forming the portfolio. This may result earning a positive return from their Real Estate investment. Moreover we advise shareholders to not completely rely on the passive strategy of Real Estate portfolio diversification.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».