TY  - JOUR
T1  - BEHAVIORAL FINANCE IN EMERGING MARKETS: TRENDS, GAPS, AND COLLABORATIONS THROUGH
TT  - GELIŞMEKTE OLAN PiYASALARDA DAVRANIŞSAL FINANS: TRENDLER, BOŞLUKLAR VE İŞBİRLİKLERİ
AU  - Metin, Tuğçe
PY  - 2025
DA  - June
Y2  - 2025
JF  - Scientific Journal of Innovation and Social Sciences Research
JO  - SJISSR
PB  - Akademik Çalışmalar Derneği
WT  - DergiPark
SN  - 2822-3314
SP  - 15
EP  - 32
VL  - 5
IS  - 1
LA  - en
AB  - This study presents a bibliometric analysis of the behavioral finance literature in seven emerging economies Turkey, India, Brazil, Indonesia, Mexico, South Africa, and Poland based on publications indexed in the Web of Science database from 1999 to 2025. Using VOSviewer software, co-authorship networks, keyword co-occurrence maps, and citation-based indicators were analyzed to identify prolific authors, leading institutions, and major thematic trends. The findings indicate that Brazil plays a dominant role in the scholarly network, followed by India and South Africa, with increasing international collaborations. Thematic clusters centered around financial literacy, behavioral biases, and investor sentiment were identified, alongside emerging topics such as mental health, machine learning, and uncertainty. While the field demonstrates growing interdisciplinarity, critical gaps remain in areas such as neurofinance, cultural determinants, and digital financial behavior in emerging markets. The study emphasizes the importance of analyzing behavioral finance beyond the context of developed economies and offers insights for researchers, educators, and policymakers. Future research is encouraged to adopt comparative and interdisciplinary approaches to capture the complex dynamics of financial behavior in diverse socioeconomic settings.
KW  - Behavioral Finance
KW  - Emerging Economies
KW  - Bibliometric Analysis
KW  - Financial Decision Making
N2  - Bu çalışma, 1999-2025 yılları arasında Web of Science veri tabanında dizinlenen yayınlara dayanarak, Türkiye, Hindistan, Brezilya, Endonezya, Meksika, Güney Afrika ve Polonya olmak üzere yedi gelişen ekonomideki davranışsal finans literatürünün bibliyometrik bir analizini sunmaktadır. VOSviewer yazılımı kullanılarak, ortak yazarlık ağları, anahtar kelime birlikteliği haritaları ve atıf temelli göstergeler analiz edilmiş; üretken yazarlar, önde gelen kurumlar ve başlıca tematik eğilimler belirlenmiştir. Bulgular, Brezilya’nın akademik ağda baskın bir rol oynadığını, ardından Hindistan ve Güney Afrika’nın geldiğini ve uluslararası iş birliklerinin arttığını göstermektedir. Finansal okuryazarlık, davranışsal önyargılar ve yatırımcı duyarlılığı etrafında kümelenmiş tematik yapılar tanımlanırken; ruh sağlığı, makine öğrenimi ve belirsizlik gibi yükselen konular da dikkat çekmektedir. Alan, artan bir disiplinlerarasılık göstermekteyse de, nörofinans, kültürel belirleyiciler ve dijital finansal davranış gibi konularda önemli boşluklar bulunmaktadır. Bu çalışma, davranışsal finansın yalnızca gelişmiş ekonomiler bağlamında değil, gelişen pazarlar çerçevesinde de analiz edilmesinin önemine vurgu yapmakta ve araştırmacılar, eğitimciler ile politika yapıcılar için çeşitli içgörüler sunmaktadır. Gelecek araştırmaların, finansal davranışın karmaşık dinamiklerini farklı sosyoekonomik bağlamlarda yakalayabilmek adına karşılaştırmalı ve disiplinlerarası yaklaşımlar benimsemesi teşvik edilmektedir.
CR  - Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
CR  - Barber, B. M., Huang, X., Odean, T., & Schwarz, C. (2022). Attention-induced trading and returns: Evidence from Robinhood users. The Journal of Finance, 77, 3141-3190.
https://doi.org/10.1111/jofi.13183
CR  - Barber, B.M., & Odean, T. (2001) Boys will be boys: Gender, overconfidence, and common stock investment. Quarterly Journal of Economics, 116, 261-292.
https://doi.org/10.1162/003355301556400
CR  - Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. In G. M. Constantinides, M. Harris, & R. M. Stulz (Eds.), Handbook of the Economics of Finance (Vol. 1, pp. 1053–1128). Elsevier.
CR  - Barberis, N., Huang, M., & Santos, T. (2001). Prospect theory and asset prices. Quarterly Journal of Economics, 116, 1-53. http://dx.doi.org/10.1162/003355301556310
CR  - Bharati, S. (2021). A Bibliometric Analysis of behavioral finance and behavioral accounting. American Business Review, 24(2), 198-230.  https://doi.org/10.37625/abr.24.2.198-230
CR  - Bhatia, A., Chandani, A., Divekar, R., & Neeraja, B. (2023). Behavioral finance: A bibliometric analysis. In: Joshi, A., Mahmud, M., Ragel, R.G. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2022). ICTCS 2022. Lecture Notes in Networks and Systems, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-19-9638-2_69
CR  - Brown, S., & Taylor, K. (2014). Household finances and the 'Big Five' personality traits. Journal of Economic Psychology, 45, 197–212. https://doi.org/10.1016/j.joep.2014.10.006
CR  - Chui, A., Titman, S., & Wei, K. (2010). Individualism and momentum around the world. The Journal of Finance, 65, 361-392. https://doi.org/10.1111/j.1540-6261.2009.01532.x
CR  - Costa, D. F., Carvalho, F. M., & Melo Moreira, B. C. (2019). Behavioral economics and behavioral finance: a bibliometric analysis of the scientific fields, Journal of Economic Surveys, 33(1), 3-24. https://doi.org/10.1111/joes.12262
CR  - Costa, P. T., & McCrae, R. R. (1992). The five-factor model of personality and its relevance to personality disorders. Journal of Personality Disorders, 6(4), 343–359. https://doi.org/10.1521/pedi.1992.6.4.343
CR  - Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998) Investor psychology and security market under- and overreactions. The Journal of Finance, 53, 1839-1885.
https://doi.org/10.1111/0022-1082.00077
CR  - Demirgüç Kunt, A., & Levine, R. (2008). Finance, financial sector policies, and long-term growth. World Bank Policy Research Working Paper Series, 4469.
CR  - Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021), How to conduct a bibliometric analysis: An overview and guidelines, Journal of Business Research, 133, 285-296. https://doi.org/10.1016/J.Jbusres.2021.04.070
CR  - Egghe, L., & Rousseau, R. (2002). Co-citation, Bibliographic coupling and a characterization of lattice citation networks. Scientometrics, 55(3), 349–361. https://doi.org/10.1023/A:1020458612014 
Fama, E. (1970). Efficient capital market: A review of theory and empirical work. Journal of Finance, 25, 382 - 417. https://doi.org/10.2307/2325486
CR  - Gaur, K., & Bhargava, V. (2024). Landscape of behavioral finance: A bibliometric analysis. International Journal of Research and Analytical Reviews, 11(3), 327-348. https://doi.org/10.1729/Journal.41772
CR  - Glänzel, W., & Czerwon, H. J. (1996). A new methodological approach to bibliographic coupling and its application to the national, regional and institutional level, Scientometrics, 2, 195-221. https://doi.org/10.1007/bf02093621
CR  - Hirshleifer, D. (2015). Behavioral finance. Annual Review of Financial Economics, 7, 133–159. https://doi.org/10.1146/annurev-financial-092214-043752
CR  - Hofstede, G. (1980). Culture’s consequences: International differences in work-related values. CA: Sage.
CR  - Kahneman, D., & Tversky, A. (1979) Prospect theory: An analysis of decision under risk. Econometrica: Journal of the Econometric Society, 47, 263–291. https://doi.org/10.2307/1914185
CR  - Klapper, L., Lusardi, A., & van Oudheusden, P. (2015). Financial literacy around the world: Insights from the Standard & Poor’s ratings services global financial literacy survey. Standard & Poor’s, Global Financial Excellence Center (GFLEC), World Bank.
CR  - Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., & Loewenstein, G. (2007). Neural antecedents of the endowment effect. Neuron, 58, 814-822. http://doi.org/10.1016/j.neuron.2008.05.018
CR  - Koç, A., & Karabınar, S. (2021). Bibliometric Analysis of international scientific studies in accounting education and Turkey's position. Journal of Academic Research and Studies, 13(24), 181-195. https://doi.org/10.20990/kilisiibfakademik.715885
CR  - Kumar, S., Rao, S., Goyal, K., & Goyal, N. (2022). Journal of behavioral and experimental finance: A bibliometric overview. Journal of Behavioral and Experimental Finance, 34(C). https://doi.org/10.1016/j.jbef.2022.100652
CR  - La Porta, R., Lopez-de-Silanes, F., Shleifer, A., & Vishny, R. W. (1998). Law and finance. Journal of Political Economy, 106(6), 1113–1155. https://doi.org/10.1086/250042
CR  - Lo, A.W. (2005). Reconciling efficient markets with behavioral finance: The adaptive markets hypothesis. Journal of Investment Consulting, 7, 21-44.
CR  - Montier, J. (2002). Darwin's mind: The evolutionary foundations of heuristics and biases. Working Paper. http://dx.doi.org/10.2139/ssrn.373321
CR  - Shiller, R. J. (2003). From efficient markets theory to behavioral finance. Journal of Economic Perspectives, 17, 83-104. https://doi.org/10.1257/089533003321164967
CR  - Statman, M. (2005). Normal investors, then and now. Financial Analysts Journal, 61(2), 31–37. https://doi.org/10.2469/faj.v61.n2.2713
CR  - Statman, M. (2008). Countries and culture in behavioral finance. CFA Institute Conference Proceedings Quarterly, 38-44.
CR  - Statman, M. (2019). Behavioral finance, the second generation. World Scientific Book Chapters, in: Behavioral Finance the Coming of Age, 3-21. https://doi.org/10.1142/9789813279469_0001
CR  - Stolper, O.A., & Walter, A. (2017). Financial literacy, financial advice, and financial behavior. J Bus Econ, 87, 581–643. https://doi.org/10.1007/s11573-017-0853-9
CR  - Pagano, M. S., Sedunov, J., & Velthuis, R. (2021). How did retail investors respond to the COVID-19 pandemic? The effect of Robinhood brokerage customers on market quality. Finance Research Letters, November 2020, 101946. https://doi.org/10.1016/j.frl.2021.101946
CR  - Paule-Vianez, J., Gómez-Martínez, R., & Prado-Román, C. (2020). A bibliometric analysis of behavioural finance with mapping analysis tools. European Research on Management and Business Economics, 26(2), 71–77. https://doi.org/10.1016/j.iedeen.2020.01.001
CR  - Pompian, M. M. (2012). Behavioral finance and investor types: Managing behavior to make better investment decisions. John Wiley & Sons. https://doi.org/10.1002/9781119202417
CR  - Prelec, D., & Loewenstein, G. (1998). The red and the black: Mental accounting of savings and debt. Marketing Science, 17(1), 4–28. https://doi.org/10.1287/mksc.17.1.4
CR  - Raghubir, P., & Srivastava, J. (2008). Monopoly money: The effect of payment coupling and form on spending behavior. Journal of Experimental Psychology: Applied, 14(3), 213–225. https://doi.org/10.1037/1076-898X.14.3.213
CR  - Ritter, J.R. (2003). Behavioral finance. Pacific-Basin Finance Journal, 11, 429-437. https://doi.org/10.1016/S0927-538X(03)00048-9
CR  - Shefrin, H., & Statman, M. (1985). The disposition to sell winners too early and ride losers too long: Theory and evidence. The Journal of Finance, 40, 777-790.
https://doi.org/10.1111/j.1540-6261.1985.tb05002.x
CR  - Shefrin, H. (2002). Beyond greed and fear: Understanding behavioral finance and the psychology of investing. Oxford Univ. Press.
CR  - Shleifer, A. (2000). Inefficient markets: An introduction to behavioral finance. Oxford University Press. https://doi.org/10.1093/0198292279.001.0001
CR  - Tague-Sutcliffe, J. (1992). An introduction to informetric. Information Processing & Management 28(1), 1–3. http://dx.doi.org/10.1016/0306-4573(92)90087-G
CR  - Tekin, B. (2018a). Behavioral finance as the human dimension of finance in the context of cognitive bias and heuristics: A literature review and compilation study. International Journal of Human Studies, 1(2), 131–156. https://doi.org/10.35235/uicd.462794
CR  - Tekin, B. (2018b). The impact of overconfidence on corporate financial decisions in the context of behavioral corporate finance. ELK's International Journal of Finance, 9(4), 59–90. https://doi.org/10.32951/mufider.421268
CR  - Thaler, R.H. (1980). Toward a positive theory of consumer choice. Journal of Economic Behavior and Organization, 1, 39-60. https://doi.org/10.1016/0167-2681(80)90051-7
CR  - Thaler, R. H. (1999). Mental accounting matters. Journal of Behavioral Decision Making, 12(3), 183–206. https://doi.org/10.1002/(SICI)1099-0771(199909)12:3 <183::AID-BDM318>3.0.CO;2-F
CR  - Thaler, R. H. (2005). Advances in behavioral finance, Volume II. Princeton University Press. https://doi.org/10.1515/9781400829125
CR  - Thaler, R. H. (2015). Misbehaving: The making of behavioral economics. W. W. Norton & Company.
CR  - Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124-1131. https://doi.org/10.1126/science.185.4157.1124
CR  - Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207–232. https://doi.org/10.1016/0010-0285(73)90033-9
CR  - World Bank. (2023). Global economic prospects: Slow growth, rising risks. Retrieved June 10, 2025, from https://openknowledge.worldbank.org/server/api/core/bitstreams/2baabfb0-d076-444b-9564-7935afab5ada/content.
CR  - Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84, 523-538. https://doi.org/10.1007/s11192-009-0146-3
CR  - Von Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behavior. Princeton University Press.
CR  - Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629
UR  - https://dergipark.org.tr/en/pub/sjissr/issue//1704225
L1  - https://dergipark.org.tr/en/download/article-file/4892421
ER  -