Purpose- Aim of this study is to make the
determinations related to the problems mentioned in the REIT sector in Turkey,
to offer a solution for this issue, and to ensure the classification in the
sector by adhering to the financial data of the REITs
Methodology- Financial data set of the REITs was firstly
standardized by using median instead of mean. Then, the scoring was performed
according to defined coefficients. After that normality test of the obtained
scores was performed, the area of each score under standard normal distribution
curve was calculated and the scores were moved to the
0-100range.Finally,scoreswerecollectedunder5groupsas“Verygood,
Good,NotBad,BadandVeryBad”byusingk-means algorithm. Clustering were
made on R Studio.
Findings-Our analyses conducted that REITs
traded on the Istanbul Stock Exchange are divided into two subgroups depending
on their financial data.
Conclusion- It will be important the REITs, in
the sub-group especially in terms of the score distribution, to diversify their
portfolio by extending their asset investments, to stabilize dividend payments
and to take steps on institutionalization so that they are equivalent to REITs
in the supergroup.
Real estate investment trusts (REITs) Turkey performance ranking K-means algoritm R studio
Birincil Dil | İngilizce |
---|---|
Bölüm | Articles |
Yazarlar | |
Yayımlanma Tarihi | 30 Haziran 2017 |
Yayımlandığı Sayı | Yıl 2017 |
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