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Economic Research-Ekonomska Istraživanja Volume 26, 2013 - Issue 3
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Original Articles

Comparing the Bank Failure Prediction Performance of Neural Networks and Support Vector Machines: The Turkish Case

Usporedba Performansi Neuronskih Mreža Pri Predviðanju Propasti Banaka I Strojeva S Potpornim Vektorima: Slučaj Turske

Fatih Ecer Assistant Professor, Ph. D, Afyon Kocatepe University, Faculty of Economics and Administrative Sciences, Department of International Trade and Finance, Afyonkarahisar, Turkey, [email protected]
Pages 81-98 | Received 28 Feb 2012, Accepted 26 Sep 2012, Published online: 09 Nov 2015

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Wei-Jie Chen, Jing-Jing Yao & Yuan-Hai Shao. (2023) Volatility forecasting using deep neural network with time-series feature embedding. Economic Research-Ekonomska Istraživanja 36:1, pages 1377-1401.
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Alexandre Momparler, Pedro Carmona & Francisco Climent. (2020) Revisiting bank failure in the United States: a fuzzy-set analysis. Economic Research-Ekonomska Istraživanja 33:1, pages 3017-3033.
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Dragana Bešlić Obradović, Dejan Jakšić, Ivana Bešlić Rupić & Mirko Andrić. (2018) Insolvency prediction model of the company: the case of the Republic of Serbia. Economic Research-Ekonomska Istraživanja 31:1, pages 139-157.
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Articles from other publishers (17)

Javid Iqbal, Muhammad Khalid Sohail & Muhammad Kamran Malik. (2023) Predicting the future financial performance of Islamic banks: a sentiment analysis approach. International Journal of Islamic and Middle Eastern Finance and Management 16:6, pages 1287-1305.
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Juan Alejandro Gallegos Mardones & Jorge Andrés Moraga Palacios. (2023) Chilean Universities and Universal Gratuity: Suggestions for a Model to Evaluate the Effects on Financial Vulnerability. Sustainability 15:13, pages 9961.
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Dimitrios Gounopoulos, Emmanouil Platanakis, Haoran Wu & Wenke Zhang. (2023) Time is the Witness: Bank Failure Prediction via a Multi-Stage Model with Artificial Intelligence. SSRN Electronic Journal.
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Nebojsa Bacanin, Miodrag Zivkovic, Luka Jovanovic, Milica Ivanovic & Tarik A. Rashid. 2022. Computational Vision and Bio-Inspired Computing. Computational Vision and Bio-Inspired Computing 415 430 .
Li Xian Liu, Shuangzhe Liu & Milind Sathye. (2021) Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research. Journal of Risk and Financial Management 14:10, pages 474.
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Petr Suler, Zuzana Rowland & Tomas Krulicky. (2021) Evaluation of the Accuracy of Machine Learning Predictions of the Czech Republic’s Exports to the China. Journal of Risk and Financial Management 14:2, pages 76.
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Fatih Ecer, Sina Ardabili, Shahab S. Band & Amir Mosavi. (2020) Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction. Entropy 22:11, pages 1239.
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Sarat Chandra Nayak & Bijan Bihari Misra. (2019) A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction. Financial Innovation 5:1.
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Jérôme Coffinet & Jean-Noël Kien. (2019) Detection of rare events: A machine learning toolkit with an application to banking crises. The Journal of Finance and Data Science 5:4, pages 183-207.
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Matsumaru Masanobu, KANEKO SHOICHI, Katagiri Hideki & Kawanaka Takaaki. (2019) Bankruptcy prediction for Japanese corporations using support vector machine, artificial neural network, and multivariate discriminant analysis. International Journal of Industrial Engineering and Operations Management 01:01.
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James W. Kolari, Félix J. López-Iturriaga & Ivan Pastor Sanz. (2019) Predicting European bank stress tests: Survival of the fittest. Global Finance Journal 39, pages 44-57.
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Oludare Isaac Abiodun, Aman Jantan, Abiodun Esther Omolara, Kemi Victoria Dada, Nachaat AbdElatif Mohamed & Humaira Arshad. (2018) State-of-the-art in artificial neural network applications: A survey. Heliyon 4:11, pages e00938.
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Periklis Gogas, Theophilos Papadimitriou & Anna Agrapetidou. (2018) Forecasting bank failures and stress testing: A machine learning approach. International Journal of Forecasting 34:3, pages 440-455.
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Felix Lopez-Iturriaga & Iván Pastor-Sanz. 2017. Nature-Inspired Computing. Nature-Inspired Computing 1306 1332 .
Felix Lopez-Iturriaga & Iván Pastor-Sanz. 2016. Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems. Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems 116 140 .
Alberto Citterio. (2020) Bank Failures: Review and Comparison of Prediction Models. SSRN Electronic Journal.
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James W. Kolari, FFlix J. LLpez-Iturriaga & Ivan Pastor Sanz. (2016) Predicting Stress Tests in European Banks. SSRN Electronic Journal.
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