In addition, this research presents a numerical application to illustrate the use of the TOPSIS method.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:The main purpose of this research is to measure the performance of Fragile Fives and MINT countries (Brazil, India, Indonesia, South Africa, Turkey, Mexico, and Nigeria), based on macroeconomic and financial indicators between 2015-2019.
📊
Key Findings & Data:In this method, stock market index, exchange rate, inflation and interest rate were decided to use as the main evaluation criteria.
💡
Conclusion & Impact:In addition, this research presents a numerical application to illustrate the use of the TOPSIS method.
🔬Design:Modeling & Simulation
📍Scope:2015-2019 Verileri
⚙️Variables:TOPSIS · Macroeconomic and Financial Indicator · Fragile Fives
Abstract
The main purpose of this research is to measure the performance of Fragile Fives and MINT countries (Brazil, India, Indonesia, South Africa, Turkey, Mexico, and Nigeria), based on macroeconomic and financial indicators between 2015-2019. For this purpose, the TOPSIS method, which is one of the multi-criteria models in decision making, was used. In this method, stock market index, exchange rate, inflation and interest rate were decided to use as the main evaluation criteria. According to the findings obtained from the research, Turkey, which is a member of both MINT and the Fragile Five group, was found to be the country with the lowest macroeconomic and financial performance and Indonesia was found to be the best performing country. In addition, this research presents a numerical application to illustrate the use of the TOPSIS method.
DEMİRKALE, Ö., ÖZARI, Ç. (2020). Assesstment of Macroeconomic and Financial Performance of Fragile Five and MINT Countries Using TOPSIS Method. Florya Chronicles of Political Economy, Cilt: 6 - Sayı: 2, 171–192. https://ajindex.com/articles/758587
Ashourian. M. (2012). Evaluating the Rank of Performance of Countries of the Middle East and North Africa with MADM. Journal of Informatics and Mathematical Sciences. Vol
Balcerzak A.P. & Pietrzak. M.B. (2016). Application of TOPSIS Method for Analysis of Sustainable Development in European Union Countries. The 10th International Days of Statistics and Economics. Prague. September 8(10). 82-92
Cihan. Y. & Salur. M. N. (2017). Comparison of the Economic Performance between Turkey and Brics Countries Using TOPSIS Method. Journal of Current Research on Business and Economics. 7(2). 350-358
Dağdeviren, M., Eren, T. (2001). Tedarikçi Firma Seçiminde Analitik Hiyerarşi Prosesi ve 0-1 Hedef Programlama Yöntemlerinin Kullanılması. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, Cilt: 16, No. 2, 41-52
De Almeida, A. T. (2007). Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method. Computers & operations research, 34(12), 3569-3574
Ela. M. Doğan. A. and Uçar. O. (2018). Comparıson of EU Countrıes and Turkey’s Macroeconomıc Performannces wıth TOPSIS Method. Osmaniye Korkut Ata University Journal of Economics and Administrative Sciences Vol: 2. Issue: 2. December 2018. pp. 129-143
Ersöz, F. & Kabak, M. (2010). “Savunma Sanayi Uygulamalarında Çok Kriterli Karar Verme Yöntemlerinin Literatür Araştırması”, Savunma Bilimleri Dergisi, Cilt 9, Sayı 1: 97-125
Eyüboğlu. K. (2016). Comparison of Developing Countries’ Macro Performances with AHP and TOPSIS Methods. Cankırı Karatekin University Journal of the Faculty of Economics and Administrative Sciences. 6(1). 131-146
Feng, C. M & Wang, R. T. (2000). “Performance Evaluation for Airlines Including the Consideration of Financial Ratios”, Journal of Air Transport Management, 6: 133-142
Genç. T. ve Masca. M. (2013). The Comparıson of the Outrankıng Results of TOPSIS and Promethee Methods.KOCATEPE IIBF Journal of İİBF Dergisi. 15(2). 539-567
Hayaloğlu, P. (2015). How Democracy Effects Economic Growth in MINT Countries? International Journal of Economics and Innovation, 1(1), 17-29
Huang. I. & Keisler B. J. & Linkov I. (2011). Multi-criteria Decision Analysis in Environmental Sciences: Ten Years of Applications and Trends. Science of the Total Environment. 409(19). 3578-3594
Jahanshahloo. G. R. Lotfi. F. H. Izadikhah. M. (2006). An Algorithmic Method to Extend TOPSIS for Decisi