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BEHAVIORAL FINANCE IN EMERGING MARKETS: TRENDS, GAPS, AND COLLABORATIONS THROUGH

Year 2025, Volume: 5 Issue: 1, 15 - 32, 30.06.2025

Abstract

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.

References

  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Demirgüç Kunt, A., & Levine, R. (2008). Finance, financial sector policies, and long-term growth. World Bank Policy Research Working Paper Series, 4469.
  • 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
  • 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
  • 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
  • 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
  • Hirshleifer, D. (2015). Behavioral finance. Annual Review of Financial Economics, 7, 133–159. https://doi.org/10.1146/annurev-financial-092214-043752
  • Hofstede, G. (1980). Culture’s consequences: International differences in work-related values. CA: Sage.
  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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
  • Lo, A.W. (2005). Reconciling efficient markets with behavioral finance: The adaptive markets hypothesis. Journal of Investment Consulting, 7, 21-44.
  • Montier, J. (2002). Darwin's mind: The evolutionary foundations of heuristics and biases. Working Paper. http://dx.doi.org/10.2139/ssrn.373321
  • Shiller, R. J. (2003). From efficient markets theory to behavioral finance. Journal of Economic Perspectives, 17, 83-104. https://doi.org/10.1257/089533003321164967
  • Statman, M. (2005). Normal investors, then and now. Financial Analysts Journal, 61(2), 31–37. https://doi.org/10.2469/faj.v61.n2.2713
  • Statman, M. (2008). Countries and culture in behavioral finance. CFA Institute Conference Proceedings Quarterly, 38-44.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Ritter, J.R. (2003). Behavioral finance. Pacific-Basin Finance Journal, 11, 429-437. https://doi.org/10.1016/S0927-538X(03)00048-9
  • 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
  • Shefrin, H. (2002). Beyond greed and fear: Understanding behavioral finance and the psychology of investing. Oxford Univ. Press.
  • Shleifer, A. (2000). Inefficient markets: An introduction to behavioral finance. Oxford University Press. https://doi.org/10.1093/0198292279.001.0001
  • 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
  • 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
  • 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
  • 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
  • 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
  • Thaler, R. H. (2005). Advances in behavioral finance, Volume II. Princeton University Press. https://doi.org/10.1515/9781400829125
  • Thaler, R. H. (2015). Misbehaving: The making of behavioral economics. W. W. Norton & Company.
  • Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124-1131. https://doi.org/10.1126/science.185.4157.1124
  • 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
  • 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.
  • 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
  • Von Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behavior. Princeton University Press.
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629

GELIŞMEKTE OLAN PiYASALARDA DAVRANIŞSAL FINANS: TRENDLER, BOŞLUKLAR VE İŞBİRLİKLERİ

Year 2025, Volume: 5 Issue: 1, 15 - 32, 30.06.2025

Abstract

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.

References

  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Demirgüç Kunt, A., & Levine, R. (2008). Finance, financial sector policies, and long-term growth. World Bank Policy Research Working Paper Series, 4469.
  • 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
  • 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
  • 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
  • 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
  • Hirshleifer, D. (2015). Behavioral finance. Annual Review of Financial Economics, 7, 133–159. https://doi.org/10.1146/annurev-financial-092214-043752
  • Hofstede, G. (1980). Culture’s consequences: International differences in work-related values. CA: Sage.
  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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
  • Lo, A.W. (2005). Reconciling efficient markets with behavioral finance: The adaptive markets hypothesis. Journal of Investment Consulting, 7, 21-44.
  • Montier, J. (2002). Darwin's mind: The evolutionary foundations of heuristics and biases. Working Paper. http://dx.doi.org/10.2139/ssrn.373321
  • Shiller, R. J. (2003). From efficient markets theory to behavioral finance. Journal of Economic Perspectives, 17, 83-104. https://doi.org/10.1257/089533003321164967
  • Statman, M. (2005). Normal investors, then and now. Financial Analysts Journal, 61(2), 31–37. https://doi.org/10.2469/faj.v61.n2.2713
  • Statman, M. (2008). Countries and culture in behavioral finance. CFA Institute Conference Proceedings Quarterly, 38-44.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Ritter, J.R. (2003). Behavioral finance. Pacific-Basin Finance Journal, 11, 429-437. https://doi.org/10.1016/S0927-538X(03)00048-9
  • 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
  • Shefrin, H. (2002). Beyond greed and fear: Understanding behavioral finance and the psychology of investing. Oxford Univ. Press.
  • Shleifer, A. (2000). Inefficient markets: An introduction to behavioral finance. Oxford University Press. https://doi.org/10.1093/0198292279.001.0001
  • 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
  • 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
  • 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
  • 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
  • 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
  • Thaler, R. H. (2005). Advances in behavioral finance, Volume II. Princeton University Press. https://doi.org/10.1515/9781400829125
  • Thaler, R. H. (2015). Misbehaving: The making of behavioral economics. W. W. Norton & Company.
  • Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124-1131. https://doi.org/10.1126/science.185.4157.1124
  • 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
  • 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.
  • 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
  • Von Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behavior. Princeton University Press.
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629
There are 54 citations in total.

Details

Primary Language English
Subjects Behavioural Finance
Journal Section Makaleler
Authors

Tuğçe Metin 0000-0002-6304-0320

Publication Date June 30, 2025
Submission Date May 22, 2025
Acceptance Date June 21, 2025
Published in Issue Year 2025 Volume: 5 Issue: 1

Cite

APA Metin, T. (2025). BEHAVIORAL FINANCE IN EMERGING MARKETS: TRENDS, GAPS, AND COLLABORATIONS THROUGH. Scientific Journal of Innovation and Social Sciences Research, 5(1), 15-32.