BANKA MÜŞTERİLERİNİN SERGİLEDİKLERİ DAVRANIŞSAL EĞİLİMLERİN BULANIK AHP YÖNTEMİ İLE ANALİZİ
Year 2023,
, 759 - 773, 09.10.2023
Yusuf Güneysu
,
Salih Aydın
Abstract
Çalışmanın amacı, Türkiye’deki ticari banka ve katılım bankası müşterilerinin sergiledikleri davranışsal eğilimleri önem sırasına göre ağırlıklandırmak ve farklı banka müşterilerinin davranışsal eğilimlerinde önem sırasına göre farklılık olup olmadığını ortaya koymaktır. Bu kapsamda hazırlanan anket formu bireylere ulaştırılmış ve elde edilen veriler bulanık Analitik Hiyerarşi Prosesi (AHP) yöntemi ile değerlendirilmiştir. Çalışma sonucunda ticari banka müşterileri için en etkili üç ana kriterin aşırı güven eğilimi, temsiliyet eğilimi ve sürü eğiliminin olduğu sonucuna ulaşılmıştır. Katılım bankası müşterileri açısından en önemli eğilimlerin muhafazakârlık eğilimi, aşırı güven eğilimi ve temsiliyet eğilimi olduğu tespit edilmiştir. Bankacılık işlemlerinde hem ticari bankaları hem de katılım bankalarını tercih eden müşteriler için ise aşırı güven eğilimi, muhafazakârlık eğilimi ve temsiliyet eğilimi önem arz etmektedir. Elde edilen sonuçlara göre farklı bankacılık türlerinde işlem yapan bireylerin sergiledikleri eğilimler arasında önem bakımından farklılıklar olduğu söylenebilir.
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- JAIN, J., WALIA, N., GUPTA, S., AGGARWAL, K., & SINGH, S. (2022b). A Fuzzy Analytical Hierarchy Process Framework for Stock Selection in the Indian Stock Market. Journal of Public Affairs, 22(4), e2710.
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ANALYZING THE BEHAVIORAL BIASES OF BANK CUSTOMERS WITH THE FUZZY AHP METHOD
Year 2023,
, 759 - 773, 09.10.2023
Yusuf Güneysu
,
Salih Aydın
Abstract
The aim of the study was to weigh the behavioral biases of commercial bank and participation bank customers in Turkey in order of significance and to reveal whether there is a difference in behavioral biases of individuals. The questionnaire form prepared in this context was delivered to the individuals and the data obtained were evaluated using the fuzzy Analytical Hierarchy Process (AHP) method. As a result of the study, it was found that the three most effective main criteria for commercial bank customers are overconfidence, representation, and herding biases. The most important biases for the participation bank customers were determined as conservatism, overconfidence, and representation biases. Overconfidence, conservatism, and representation biases were determined as important for customers who prefer both commercial and participation banks in banking transactions. The results show that there are differences between the biases exhibited by individuals who transacted in different types of banking.
References
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- AHMAD, M., & WU, Q. (2022). Does Herding Behavior Matter in Investment Management and Perceived Market Efficiency? Evidence from an Emerging Market. Management Decision, 60(8), 2148-2173.
- AHSAN, S. M., & MALIK, H. (2016). Moderating Role of Conservatism Bias in Personality Traits and Investment Management. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2812604.
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- BATMUNKH, M. U., CHOIJIL, E., VIEITO, J. P., ESPINOSA-MÉNDEZ, C., & WONG, W. K. (2020). Does Herding Behavior Exist in the Mongolian Stock Market?. Pacific-Basin Finance Journal, 62, 101352.
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- CHEN, T. (2013). Do Investors Herd in Global Stock Markets?. Journal of Behavioral Finance, 14(3), 230-239.
- CHERONO, I., OLWENY, T., & NASIEKU, T. (2019). Investor Behavior Biases and Stock Market Reaction in Kenya. Journal of Applied Finance and Banking, 9(1), 147-180.
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- GERVAIS, S., & ODEAN, T. (2001). Learning to Be Overconfident. Review of Financial Studies, 14(1), 1-27.
- GOODFELLOW, C., BOHL, M.T., & GEBKA, B. (2009). Together We Invest? Individual and Institutional Investors’ Trading Behaviour in Poland. International Review of Financial Analysis, 18(4), 212-221.
- GRETHER, D.M. (1992). Testing Bayes Rule and the Representativeness Heuristic: Some Experimental Evidence. Journal of Economic Behavior and Organization, 17(1), 31-57.
- GRINBLATT, M., & KELOHARJU, M. (2000). The Investment Behaviour and Performance of Various Investor Types: A Study of Finland’s Unique Data Set. Journal of Financial Economics, 55, 43-67.
- GÜNDOĞDU, E. (2022). View of the Banking Sector from A Behavioral Finance Perspective (Unpublished Master’s Thesis). Ankara Hacı Bayram Veli University, Turkey.
- GÜNEYSU, Y., ER, B., & AR, İ. (2015). Analysing Performance of Commercial Banks in Turkey with AHP and GRA Method. Karadeniz Technical University Institute of Social Sciences Journal of Social Sciences, 5(9), 71-93.
- HIRSH, J. B., DEYOUNG, C. G., XU, X., & PETERSON, J. B. (2010). Compassionate Liberals and Polite Conservatives: Associations of Agreeableness with Political Ideology and Moral Values. Personality and Social Psychology Bulletin, 36(5), 655-664.
- HOMBURG, C., & J. NASEV. (2008). How Timely Are Earnings When Costs Are Sticky? Implication for Link Between Conditional Conservatism and Cost Stickiness. Management Accounting Section (MAS) Meeting Paper, Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1187082.
- HUNGURU, P., SIBANDA, V., & TADU, R. (2020). Determinants of Investment Decisions: A Study of Individual Investors on the Zimbabwe Stock Exchange. Applied Economics and Finance, 7(5), 38-53.
- JAIN, N., & KESARI, B. (2019). Effect of Conservatism Bias and Self-Attribution Bias on Financial Risk Tolerance of Investors. Gap Gyan-An International Peer-Reviewed Open Access Journal of Social Sciences, 2(1), 83-87.
- JAIN, J., WALIA, N., & GUPTA, S. (2020). Evaluation of Behavioral Biases Affecting Investment Decision Making of Individual Equity Investors by Fuzzy Analytic Hierarchy Process. Review of Behavioral Finance, 12(3), 297-314.
- JAIN, J., WALIA, N., SINGH, S., & JAIN, E. (2021). Mapping the Field of Behavioural Biases: A Literature Review Using Bibliometric Analysis. Management Review Quarterly, 72, 823–855.
- JAIN, J., WALIA, N., KAUR, M., & SINGH, S. (2022a). Behavioural Biases Affecting Investors’ Decision-Making Process: A Scale Development Approach. Management Research Review, 45(8), 1079-1098.
- JAIN, J., WALIA, N., GUPTA, S., AGGARWAL, K., & SINGH, S. (2022b). A Fuzzy Analytical Hierarchy Process Framework for Stock Selection in the Indian Stock Market. Journal of Public Affairs, 22(4), e2710.
- JAVED, H., BAGH, T., & RAZZAQ, S. (2017). Herding Effects, Overconfidence, Availability Bias and Representativeness as Behavioral Determinants of Perceived Investment Performance: An Empirical Evidence from Pakistan Stock Exchange (PSX). Journal of Global Economics, 6(1), 1-13.
- JOST, J. T., GLASER, J., KRUGLANSKI, A. W., & SULLOWAY, F. J. (2003). Political Conservatism as Motivated Social Cognition. Psychological Bulletin, 129(3), 339-375.
- KAHNEMAN, D., & FREDERICK, S. (2002). Representativeness Revisited: Attribute Substitution in Intuitive Judgment, in Gilovich, T., Griffin, D. and Kahneman, D. (Eds), Heuristics and Biases: The Psychology of Intuitive Judgment, Cambridge University Press, New York, NY, 49-81.
- KAHRAMAN, C., CEBECI, U., & ULUKAN, Z. (2003). Multi‐Criteria Supplier Selection Using Fuzzy AHP. Logistics Information Management, 16(6), 382-394.
- KANSAL, P., & SINGH, S. (2018). Determinants of Overconfidence Bias in Indian Stock Market. Qualitative Research in Financial Markets, 10(4), 381–394.
- KARTINI, K., & NAHDA, K. (2021). Behavioral Biases on Investment Decision: A Case Study in Indonesia. Journal of Asian Finance, Economics and Business, 8(3), 1231–1240.
- KENGATHARAN, L., & KENGATHARAN, N. (2014), The Influence of Behavioral Factors in Making Investment Decisions and Performance: Study on Investors of Colombo Stock Exchange, Sri Lanka. Asian Journal of Finance & Accounting, 6(1), 1-23.
- KIM, W., & WEI, S.J. (2002), Foreign Portfolio Investors Before and During a Crisis. Journal of International Economics, 56(1), 77-96.
- KISHOR, N. (2020). Development and Validation of Behavioral Biases Scale: A SEM Approach. Review of Behavioral Finance, 14(2), 237-259.
- KOO, J. H., & YANG, D. (2018). Managerial Overconfidence, Self-Attribution Bias, and Downwardly Sticky Investment: Evidence from Korea. Emerging Markets Finance and Trade, 54(1), 144-161.
- KUMAR, S., & GOYAL, N. (2015). Behavioural Biases in Investment Decision Making–A Systematic Literature Review. Qualitative Research in Financial Markets, 7(1), 88-108.
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