Determining the relationship between stock return and financial performance: an analysis on Turkish deposit banks

References

• M. Amiri, M. Zandieh, B. Vahdani, R. Soltani, and V. Roshanaei, An integrated eigenvector–DEA–TOPSIS methodology for portfolio risk evaluation in the forex spot market. Expert Syst. Appl. 37 (2010), pp. 509–516.
   Web of Science ®Google Scholar
• M.E. Atukalp, Efficiency Analysis of Banks in Borsa Istanbul Banking Index, Proceedings of International Congress of Management, Economy and Policy, Istanbul/Turkey, 2017, pp. 239–254.
   Google Scholar
• E. Beccalli, B. Casu, and C. Girardone, Efficiency and stock performance in European banking. J. Bus. Finance Account. 1–2 (2006), pp. 245–262.
   Web of Science ®Google Scholar
• I. Chamodrakas, I. Leftheriotis, and D. Martakos, In-depth analysis and simulation study of an ınnovative fuzzy approach for ranking alternatives in multiple attribute decision making problems based on TOPSIS. Appl. Soft Comput 11 (2011), pp. 900–907.
   Web of Science ®Google Scholar
• F. Cheng-Min, and W. Rong-Tsu, Considering the financial ratios on the performance evaluation of highway bus industry. Transp. Rev 21 (2001), pp. 449–467.
   Web of Science ®Google Scholar
• Data from: The Banks Association of Turkey, Selected Ratios, 2018; dataset available at https://www.tbb.org.tr/tr/bankacilik/banka-ve-sektor-bilgileri/istatistiki-raporlar/59.
   Google Scholar
• D. Diakoulaki, G. Mavrotas, and L. Papayannakis, Determining objective weights in multiple criteria problems: the CRITIC method. Comput. Oper. Res. 22 (1995), pp. 763–770.
   Web of Science ®Google Scholar
• M. Doumpos, and C. Zopounidis, Multi-criteria classification methods in financial and banking decisions. Int. Trans. Oper. Res. 9 (2002), pp. 567–581.
   Google Scholar
• C. Erdem, and M.S. Erdem, Turkish banking efficiency and its relation to stock performance. Appl. Econom. Lett. 15 (2008), pp. 207–211.
   Web of Science ®Google Scholar
• J. Estrada, Law and Behavioral Economics, Working Paper. (2001). Available at https://blog.iese.edu/jestrada/files/2012/06/LBE.pdf
   Google Scholar
• E.F. Fama, Efficient capital markets: A review of theory and empirical work. J. Finance 25 (1970), pp. 383–417.
   Web of Science ®Google Scholar
• R. Gao, H.O. Nam, W.I. Ko, and H. Jang, National options for a sustainable nuclear energy system: MCDM evaluation using an improved integrated weighting approach. Energies 10 (2017), pp. 1–24.
   Web of Science ®Google Scholar
• A. Göktaş, and Ö İşçi, Comparison of the most commonly used measures of association for doubly ordered square contingency tables via simulation. Metodološki zvezki 8 (2011), pp. 17–37.
   Google Scholar
• C.L. Hwang, and K. Yoon, Multiple Attribute Decision Making Methods and Applications, Springer, Berlin Heidelberg, 1981.
   Google Scholar
• C. Ioannidis, P. Molyneux, and F. Pasiouras, The Relationship Between Bank Efficiency and Stock Returns: Evidence from Asia and Latin America, Univ. Bath, Sch. Manag. Work. Pap. 2008.10.
   Google Scholar
• G.R. Jahanshahloo, F. Hosseinzadeh Lotfi, and M. Izadikhah, An algorithmic method to extend TOPSIS for decision-making problems with interval data. Appl. Math. Comput. 175 (2006), pp. 1375–1384.
   Web of Science ®Google Scholar
• S. Kasman, and A. Kasman, Efficiency, productivity and stock performance: evidence from the Turkish banking sector. Panoeconomicus 58 (2011), pp. 355–372.
   Web of Science ®Google Scholar
• J. Kirkwood, and D. Nahm, Australian banking efficiency and its relation to stock returns, Econ. Record. 82 (2006), pp. 253–267.
   Web of Science ®Google Scholar
• M. Kumaraswamy, and R. Ramaswamy, Performance evaluation of software projects using criteria importance through inter-criteria correlation technique. Int. J. Soft Comput.and Softw. Eng. 6 (2016), pp. 28–36.
   Google Scholar
• M.Z.A. Majid, and F. Sufian, Bank Efficiency and Share Prices in China: Empirical Evidence from a Three-Stage Banking Model, MPRA Paper 12120.
   Google Scholar
• H. Řezanková, Cluster analysis and categorical data. Stat. 89 (2009), pp. 73–86.
   Google Scholar
• H. Rjoub, I. Cıvcır, and N.G. Resatoglu, Micro and macroeconomic determinants of stock prices: the case of Turkish banking sector. Rom. J. Econ. Forecast. 20 (2017), pp. 150–166.
   Web of Science ®Google Scholar
• H.Y. Wu, G.H. Tzeng, and Y.H. Chen, A fuzzy MCDM approach for evaluating banking performance based on balanced scorecard. Expert Syst. Appl. 36 (2009), pp. 10135–10147.
   Web of Science ®Google Scholar