A Financial Ratio Analysis on BIST Information and Technology Index (XUTEK) Using AHP-weighted Grey Relational Analysis
The financial ratio analysis is an important issue for the stock exchange markets which have many sub-sectoral indexes. During Industry 4.0 revolution and transition, the sector of information and technology is shown as one of the sectors that have great strategic importance in the global change and...
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Format: | Article |
Language: | English |
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Düzce University
2021-12-01
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Series: | Düzce Üniversitesi Bilim ve Teknoloji Dergisi |
Subjects: | |
Online Access: | https://dergipark.org.tr/tr/download/article-file/2032574 |
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author | Tunahan Turhan Erdal Aydemir |
author_facet | Tunahan Turhan Erdal Aydemir |
author_sort | Tunahan Turhan |
collection | DOAJ |
description | The financial ratio analysis is an important issue for the stock exchange markets which have many sub-sectoral indexes. During Industry 4.0 revolution and transition, the sector of information and technology is shown as one of the sectors that have great strategic importance in the global change and development process. So, the performance of the information and technology sector provides a significant added value to the economies. In this study, multi-criteria decision-making (MCDM) approaches will be used to determine the weights of the criteria with considering the experts’ opinions used in the evaluation of the financial performance of the companies operating in the field of Information and Technology Sector of BIST Stock Index (XUTEK). In order to measure the financial performance of companies with MCDM methods, the ratios of the liquidity, operational/activity, financial structure, and profitability are obtained from the financial statements are frequently applied in the scientific literature. In the study, criteria weights were determined by using the pairwise comparison feature of the analytical hierarchy process method and expert opinions. Then, the smallest and largest values of the financial ratio values in quarterly periods in 2020 and the uncertainty formed were evaluated with the gray relational analysis method. After all; XUTEK stocks to be included in the priority investment portfolio in terms of financial performance have been determined. |
first_indexed | 2024-03-07T23:13:02Z |
format | Article |
id | doaj.art-7cf4f50ead9c48bea82ce66c5aca6f8e |
institution | Directory Open Access Journal |
issn | 2148-2446 |
language | English |
last_indexed | 2024-03-07T23:13:02Z |
publishDate | 2021-12-01 |
publisher | Düzce University |
record_format | Article |
series | Düzce Üniversitesi Bilim ve Teknoloji Dergisi |
spelling | doaj.art-7cf4f50ead9c48bea82ce66c5aca6f8e2024-02-21T14:07:29ZengDüzce UniversityDüzce Üniversitesi Bilim ve Teknoloji Dergisi2148-24462021-12-019619520910.29130/dubited.101125297A Financial Ratio Analysis on BIST Information and Technology Index (XUTEK) Using AHP-weighted Grey Relational AnalysisTunahan Turhan0Erdal Aydemir1SÜLEYMAN DEMİREL ÜNİVERSİTESİSÜLEYMAN DEMİREL ÜNİVERSİTESİThe financial ratio analysis is an important issue for the stock exchange markets which have many sub-sectoral indexes. During Industry 4.0 revolution and transition, the sector of information and technology is shown as one of the sectors that have great strategic importance in the global change and development process. So, the performance of the information and technology sector provides a significant added value to the economies. In this study, multi-criteria decision-making (MCDM) approaches will be used to determine the weights of the criteria with considering the experts’ opinions used in the evaluation of the financial performance of the companies operating in the field of Information and Technology Sector of BIST Stock Index (XUTEK). In order to measure the financial performance of companies with MCDM methods, the ratios of the liquidity, operational/activity, financial structure, and profitability are obtained from the financial statements are frequently applied in the scientific literature. In the study, criteria weights were determined by using the pairwise comparison feature of the analytical hierarchy process method and expert opinions. Then, the smallest and largest values of the financial ratio values in quarterly periods in 2020 and the uncertainty formed were evaluated with the gray relational analysis method. After all; XUTEK stocks to be included in the priority investment portfolio in terms of financial performance have been determined.https://dergipark.org.tr/tr/download/article-file/2032574analytic hierarchy processgrey relational analysisbist stock indexuncertaintyanalitik hiyerarşi sürecigri ilişkisel analizhisse senedi endeksibelirsizlik |
spellingShingle | Tunahan Turhan Erdal Aydemir A Financial Ratio Analysis on BIST Information and Technology Index (XUTEK) Using AHP-weighted Grey Relational Analysis Düzce Üniversitesi Bilim ve Teknoloji Dergisi analytic hierarchy process grey relational analysis bist stock index uncertainty analitik hiyerarşi süreci gri ilişkisel analiz hisse senedi endeksi belirsizlik |
title | A Financial Ratio Analysis on BIST Information and Technology Index (XUTEK) Using AHP-weighted Grey Relational Analysis |
title_full | A Financial Ratio Analysis on BIST Information and Technology Index (XUTEK) Using AHP-weighted Grey Relational Analysis |
title_fullStr | A Financial Ratio Analysis on BIST Information and Technology Index (XUTEK) Using AHP-weighted Grey Relational Analysis |
title_full_unstemmed | A Financial Ratio Analysis on BIST Information and Technology Index (XUTEK) Using AHP-weighted Grey Relational Analysis |
title_short | A Financial Ratio Analysis on BIST Information and Technology Index (XUTEK) Using AHP-weighted Grey Relational Analysis |
title_sort | financial ratio analysis on bist information and technology index xutek using ahp weighted grey relational analysis |
topic | analytic hierarchy process grey relational analysis bist stock index uncertainty analitik hiyerarşi süreci gri ilişkisel analiz hisse senedi endeksi belirsizlik |
url | https://dergipark.org.tr/tr/download/article-file/2032574 |
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