Analyzing the Performance of Auto-Enrollment System Funds in Türkiye with Multi-Criteria Decision Making Methods

Serhat Duranay

Makale detayları

Analyzing the Performance of Auto-Enrollment System Funds in Türkiye with Multi-Criteria Decision Making Methods

Yazarlar:

Serhat Duranay

Yayıncı:

Gumushane University

Ana Başlıklar:

Yatırımlar ve Portföy Yönetimi

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.16 Issue 1, pp.53-78

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001339979

pISSN:

1309-7423

Anahtar kelimeler:

Özet:

 The purpose of this study is to provide an alternative method for investors who participate in the Auto-Enrollment System or intend to remain in this system to determine the most efficient funds in terms of financial performance. In line with this purpose, the study aims to calculate the average financial performance of 77 funds in the AES between 2019 and 2022. The performance of the funds analyzed in the study was analyzed by using Entropy, TOPSIS and ARAS as Multi-Criteria Decision Making Methods. Sharpe, Treynor, Sortino and Jensen ratios were used as financial performance evaluation criteria. The results indicate that TOPSIS and ARAS methods provide consistent results. According to the findings, funds coded AJZ, CHG, CHO, AJF and MHM are ranked higher in the performance ranking.

 The purpose of this study is to provide an alternative method for investors who participate in the Auto-Enrollment System or intend to remain in this system to determine the most efficient funds in terms of financial performance. In line with this purpose, the study aims to calculate the average financial performance of 77 funds in the AES between 2019 and 2022. The performance of the funds analyzed in the study was analyzed by using Entropy, TOPSIS and ARAS as Multi-Criteria Decision Making Methods. Sharpe, Treynor, Sortino and Jensen ratios were used as financial performance evaluation criteria. The results indicate that TOPSIS and ARAS methods provide consistent results. According to the findings, funds coded AJZ, CHG, CHO, AJF and MHM are ranked higher in the performance ranking.

 The purpose of this study is to provide an alternative method for investors who participate in the Auto-Enrollment System or intend to remain in this system to determine the most efficient funds in terms of financial performance. In line with this purpose, the study aims to calculate the average financial performance of 77 funds in the AES between 2019 and 2022. The performance of the funds analyzed in the study was analyzed by using Entropy, TOPSIS and ARAS as Multi-Criteria Decision Making Methods. Sharpe, Treynor, Sortino and Jensen ratios were used as financial performance evaluation criteria. The results indicate that TOPSIS and ARAS methods provide consistent results. According to the findings, funds coded AJZ, CHG, CHO, AJF and MHM are ranked higher in the performance ranking.

 Bu çalışmanın amacı Otomatik Katılım Sistemine katılan veya sistemde kalmaya devam etme niyetinde olan yatırımcılara finansal performans anlamında en uygun fonları belirleyebilecekleri alternatif bir yöntem önermektir. Bu amaç doğrultusunda çalışmada 2019-2022 yılları arasında OKSde yer alan 77 fonun ortalama finansal performanslarının hesaplanması hedeflenmiştir. Çalışmada incelenen fonların performansı Çok Kriterli Karar Verme Metotlarından Entropi, TOPSIS ve ARAS kullanılarak hesaplanmıştır. Finansal performans değerlendirme kriterleri olarak ise Sharpe, Treynor, Sortino ve Jensen oranları kullanılmıştır. Elde edilen sonuçlar TOPSIS ve ARAS yöntemlerinin tutarlı sonuçlar sunduğunu göstermiştir. Bulgulara göre, AJZ, CHG, CHO, AJF ve MHM kodlu fonlar performans sıralamasında üst sıralarda yer almaktadırlar.

Makale detayları

Analyzing the Performance of Auto-Enrollment System Funds in Türkiye with Multi-Criteria Decision Making Methods

Yazarlar:

Serhat Duranay

Yayıncı:

Gumushane University

Ana Başlıklar:

Yatırımlar ve Portföy Yönetimi

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.16 Issue 1, pp.53-78

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001339979

pISSN:

1309-7423

Multi-Criteria Decision Making

Automatic Enrollment System

Fund PerformancesÇok Kriterli Karar Verme

Otomatik Katılım Sistemi

Fon Performansları

Sayı

Makale detayları

Analyzing the Performance of Auto-Enrollment System Funds in Türkiye with Multi-Criteria Decision Making Methods

Yazarlar: Serhat Duranay

Yayıncı: Gumushane University

Ana Başlıklar: Yatırımlar ve Portföy Yönetimi

Dergi: Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.16 Issue 1, pp.53-78

Belge Tipi: Makale

Yayın Tarihi: 1/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001339979

pISSN: 1309-7423

Multi-Criteria Decision Making

Automatic Enrollment System

Fund PerformancesÇok Kriterli Karar Verme

Otomatik Katılım Sistemi

Fon Performansları

Sayı

Yazarlar:

Serhat Duranay

Yayıncı:

Gumushane University

Ana Başlıklar:

Yatırımlar ve Portföy Yönetimi

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.16 Issue 1, pp.53-78

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001339979

pISSN:

1309-7423