Comparison of Liquidity Levels of Companies in BIST Sustainability 25 Index with ENTROPI and Gray Relational Analysis (GRA) Methods

Mehmet Akif Kara; Onur Şeyranlıoğlu

Makale detayları

Comparison of Liquidity Levels of Companies in BIST Sustainability 25 Index with ENTROPI and Gray Relational Analysis (GRA) Methods

Yazarlar:

Mehmet Akif Kara | Onur Şeyranlıoğlu

Yayıncı:

Gumushane University

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.14 Issue 2, pp.647-667

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001291318

pISSN:

1309-7423

Anahtar kelimeler:

Özet:

 This study aims to rank the liquidity levels of companies in the Borsa Istanbul BIST Sustainability 25 index using multi-criteria decision-making methods. Data for the years 2020-2022 were used in the study. Liquidity ratios are ratios that measure the ability of companies to meet their short-term liabilities. It is essential for companies to be able to meet their short-term liabilities in order to carry out their activities in a sustainable manner. In this study, Entropy and Gray Relational Analysis methods, which are among the multi-criteria decision making methods, were used. The criteria determined by literature review are weighted by Entropy method. Subsequently, the data obtained from the Public Disclosure Platform were calculated by the Gray Relational Analysis method and the relevant companies were ranked according to their liquidity levels. As a result of the analysis, 22 companies in the BIST Sustainability 25 index were ranked using multi-criteria decision-making methods. According to the findings, ENKAI and VESTL companies are ranked first and last, respectively.

 This study aims to rank the liquidity levels of companies in the Borsa Istanbul BIST Sustainability 25 index using multi-criteria decision-making methods. Data for the years 2020-2022 were used in the study. Liquidity ratios are ratios that measure the ability of companies to meet their short-term liabilities. It is essential for companies to be able to meet their short-term liabilities in order to carry out their activities in a sustainable manner. In this study, Entropy and Gray Relational Analysis methods, which are among the multi-criteria decision making methods, were used. The criteria determined by literature review are weighted by Entropy method. Subsequently, the data obtained from the Public Disclosure Platform were calculated by the Gray Relational Analysis method and the relevant companies were ranked according to their liquidity levels. As a result of the analysis, 22 companies in the BIST Sustainability 25 index were ranked using multi-criteria decision-making methods. According to the findings, ENKAI and VESTL companies are ranked first and last, respectively.

 This study aims to rank the liquidity levels of companies in the Borsa Istanbul BIST Sustainability 25 index using multi-criteria decision-making methods. Data for the years 2020-2022 were used in the study. Liquidity ratios are ratios that measure the ability of companies to meet their short-term liabilities. It is essential for companies to be able to meet their short-term liabilities in order to carry out their activities in a sustainable manner. In this study, Entropy and Gray Relational Analysis methods, which are among the multi-criteria decision making methods, were used. The criteria determined by literature review are weighted by Entropy method. Subsequently, the data obtained from the Public Disclosure Platform were calculated by the Gray Relational Analysis method and the relevant companies were ranked according to their liquidity levels. As a result of the analysis, 22 companies in the BIST Sustainability 25 index were ranked using multi-criteria decision-making methods. According to the findings, ENKAI and VESTL companies are ranked first and last, respectively.

 Bu çalışmada, Borsa İstanbul BİST Sürdürülebilirlik 25 endeksinde yer alan şirketlerin likidite düzeylerinin çok kriterli karar verme yöntemleriyle sıralanması amaçlanmıştır. Araştırmada 2020-2022 yılları verileri kullanılmıştır. Likidite oranları, şirketlerin kısa vadeli yükümlülüklerini karşılama yeterliliğini ölçen rasyo oranlarıdır. Şirketlerin sürdürülebilir bir şekilde faaliyetlerini gerçekleştirebilmeleri için kısa vadeli yükümlülüklerini karşılayabilmeleri elzem bir konudur. Bu çalışmada çok kriterli karar verme yöntemlerinden Entropi ve Gri İlişkisel Analiz yöntemleri kullanılmıştır. Literatür taraması ile belirlenen kriterler Entropi yöntemi ile ağırlıklandırılmıştır. Akabinde Kamu Aydınlatma Platformundan elde edilen veriler Gri İlişkisel Analiz yöntemi ile hesaplanmış ve ilgili şirketler likidite düzeylerine göre sıralanmıştır. Yapılan analiz sonucunda BİST Sürdürülebilirlik 25 endeksinde bulunan 22 şirket çok kriterli karar verme yöntemleriyle sıralanmıştır. Bulgularda, ilk ve son sırada sırasıyla ENKAI ve VESTL şirketleri olarak tespit edilmiştir.

Makale detayları

Comparison of Liquidity Levels of Companies in BIST Sustainability 25 Index with ENTROPI and Gray Relational Analysis (GRA) Methods

Yazarlar:

Mehmet Akif Kara | Onur Şeyranlıoğlu

Yayıncı:

Gumushane University

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.14 Issue 2, pp.647-667

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001291318

pISSN:

1309-7423

BIST Sustainability 25 Index

Multi-Criteria Decision Making (MCDM)

ENTROPY

Gray Relational Analysis

LiquidityBİST Sürdürülebilirlik 25 Endeksi

Çok Kriterli Karar Verme (ÇKKV)

ENTROPİ

Gri İlişkisel Analiz

Likidite

BIST Sustainability 25 Index

Multi-Criteria Decision Making (MCDM)

ENTROPY

Gray Relational Analysis

Liquidity

Sayı

Makale detayları

Yazarlar: Mehmet Akif Kara | Onur Şeyranlıoğlu

Yayıncı: Gumushane University

Dergi: Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.14 Issue 2, pp.647-667

Belge Tipi: Makale

Yayın Tarihi: 12/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001291318

pISSN: 1309-7423

Sayı

Yazarlar:

Mehmet Akif Kara | Onur Şeyranlıoğlu

Yayıncı:

Gumushane University

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.14 Issue 2, pp.647-667

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001291318

pISSN:

1309-7423