Portfolio management strategies between an optimal and relatif selection in stock market
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
This thesis aims to define and prove the optimum portfolio to invest in between Apple, Microsoft, and Amazon shares, the major portfolio management strategies related to the stock market, the Modern portfolio theory of Markowitz, the Capital Asset Pricing Model, and the Sharp ratio were used get the most profitable investment. This thesis is dedicated to the representation of optimal strategies for the building of a profitable portfolio in the uncertain and changing stock market. We have studied the case of those models using S&P500, AAPL, MSFT, and AMZN stocks data from January 2019 to December 2021. According to the result of this thesis, we approved that investing in Amazon stock was not an effective strategy that generates an optimal portfolio, otherwise, we concluded that investing in Apple stock was the most optimal strategy or investing 80% in Apple stock and 20% on Microsoft to figure out a profitable asset.
Author
Nasradın Abdıllahı Moumın
Institution
How to Cite
Nasradın Abdıllahı Moumın (Master Thesis). Portfolio management strategies between an optimal and relatif selection in stock market, 2022, Çankırı Karatekin Üniversitesi.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Çankırı Karatekin Üniversitesi
- The role of conservatism in women's participation in Türkiye's working life(2023)
- Tourism potential of Ankara province(2023)
- The role of ghrelin in overweight and obesity(2023)
- Evaluation of university staff's attitudes to gender roles (The case of Çankırı Karatekin University)(2023)
- The effect of pomegranate peel extract on some physical, chemical and microbiological properties of mesopotamian barb (Capoeta damascina) and yellow barbell (Carasobarbus luteus) fish fillets(2023)
- Ethics of war according to the Prophet (S.A.V.)(2023)
