@article{article_1707943, title={Comparison of Turkish and Kazakh Banks Using Multi-Criteria Decision-Making Methods and Analysis with Artificial Neural Networks}, journal={Bilig}, year={2025}, DOI={10.12995/bilig.8402}, author={Köroğlu, Çağrı and Büyükmert, Ali and Anbarcı, Mehmet and Temel, Eren}, keywords={Bankacılık sektörü, çok kriterli karar verme, finansal performans analizi, Kazakistan, Türk dünyası, Türkiye, yapay sinir ağları}, abstract={The financial statement data of banks and the economic analyses generated using these data play a crucial role in assessing the performance rankings of banks amid intensifying competitive conditions. This study aims to evaluate the economic performance of banks listed in the Borsa Istanbul (BIST) 50 index and five banks listed on the Kazakhstan Stock Exchange for the period 2013–2023, employing Multi-Criteria Decision-Making (MCDM) methods such as Standard Deviation (SD) and Combinative Distance-based Assessment (CODAS). The significance levels of factors affecting ranking outcomes were determined using the Weka program, and a financial performance ranking forecast for 2024–2025 was conducted for a randomly selected bank. Upon examining the rankings obtained from SD and CODAS methods, M&T Bank consistently ranked among the top banks across both countries throughout the study period. Additionally, an analysis based on artificial neural networks revealed that, within CODAS ranking evaluations, total liability data proved to be the most influential determinant in both Turkish and Kazakh banking sectors.}, number={Erken Görünüm}, publisher={Hoca Ahmet Yesevi Uluslararası Türk-Kazak Üniversitesi}