This article aims to systematically review the literature on cognitive heuristic-driven bias and its impact on investment management, identifying gaps and providing future directions for investors, researchers, and academics. The study critically reviewed 71 relevant articles in the Scopus database published between 1980 and 2023. It synthesised the literature on behavioural finance, particularly focusing on cognitive heuristic-driven biases and their influence on investment decision-making and performance. Investors in the financial market are influenced by cognitive biases such as overconfidence, representativeness, anchoring, availability, and adjustment heuristics. These biases impact investment decision-making and performance, potentially leading to suboptimal decisions and undermining market efficiency. Further research on other cognitive factors like the gambler’s fallacy and framing is needed and also explores the recognition of heuristic-driven bias. Investors, both individual and institutional, must be more aware of these biases. This study highlights that the global investor community is unknowingly affected by these biases. Understanding these biases is increasingly crucial due to the expanding investment market and the rise of individual investors in financial markets. This study is also significant for researchers, academics and professionals in the domain of behavioural finance, providing crucial insights into the influence of cognitive heuristic-driven biases in management activities.

Systematic literature review, behavioural finance, behavioural biases, cognitive heuristic-driven biases, investment decisions, investment performance

Abdin, S. Z. ul, Farooq, O., Sultana, N., & Farooq, M. (2017). The impact of heuristics on investment decision and performance: Exploring multiple mediation mechanisms. Research in International Business and Finance, 42, 674–688. https://doi.org/10.1016/ j.ribaf.2017.07.010

Abraham, G., Hall, J. H., & Cloete, C. E. (2014). Anchoring and adjustment and herding behaviour as heuristic-driven bias in property investment decision-making in South Africa (No. eres2014_217). European Real Estate Society (ERES). Retrieved July 28, 2025, from https://eres.architexturez.net/doc/oai-eres-id-eres2014-217

Abreu, M., & Mendes, V. (2012). Information, overconfidence and trading: Do the sources of information matter? Journal of Economic Psychology, 33(4), 868–881. https://doi.org/10.1016/J.JOEP.2012.04.003

Ahmad, M., & Shah, S. Z. A. (2020). Overconfidence heuristic-driven bias in investment decision-making and performance: Mediating effects of risk perception and moderating effects of financial literacy. Journal of Economic and Administrative Sciences, 38(1), 60–90. https://doi.org/10.1108/JEAS-07-2020-0116

Ahmad, M., Shah, S. Z. A., & Abbass, Y. (2020). The role of heuristic-driven biases in entrepreneurial strategic decision-making: Evidence from an emerging economy. Management Decision, 59(3), 669–691. https://doi.org/10.1108/MD-09-2019-1231

Ahmad, M., & Wu, Q. (2023). Heuristic-driven biases as mental shortcuts in investment management activities: A qualitative study. Qualitative Research in Financial Markets. https://doi.org/10.1108/QRFM-10-2022-0167/FULL/HTML

Ahmad, M., Wu, Q., & Abbass, Y. (2023). Probing the impact of recognition-based heuristic biases on investment decision-making and performance. Kybernetes, 52(10), 4229–4256. https://doi.org/10.1108/K-01-2022-0112

Ahmed, A. S., & Safdar, I. (2017). Evidence on the presence of representativeness bias in investor interpretation of consistency in sales growth. Management Science, 63(1), 97–113. https://doi.org/10.1287/mnsc.2015.2326

Asad, H., Khan, A., & Faiz, R. (2018). Behavioral biases across the stock market investors. Pakistan Economic and Social Review, 56(1), 185–209. https://www.jstor.org/stable/26616737

Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386. https://doi.org/10.1162/QSS_A_00019

Barber, B. M., & Odean, T. (1999). The courage of misguided convictions. Financial Analysts Journal, 55(6), 41–55. https://www.jstor.org/stable/4480208

Bernoulli, D. (1738). Specimen theoriae novae de mensura sortis. Commentarii Academiae Scientiarum Imperialis Petropolitanae, 5, 175–192. https://archive.org/details/ SpecimenTheoriaeNovaeDeMensuraSortis/page/n15/mode/2up

Busenitz, L. W., & Barney, J. B. (2017). Biases and heuristics in strategic decision making: Differences between entrepreneurs and managers in large organizations. Academy of Management, 1994(1), 85–89. https://doi.org/10.5465/AMBPP.1994.10341736

Cascão, A., Quelhas, A. P., & Cunha, A. M. (2023). Heuristics and cognitive biases in the housing investment market. International Journal of Housing Markets and Analysis, 16(5), 991–1006. https://doi.org/10.1108/IJHMA-05-2022-0073

Cassotti, M., Habib, M., Poirel, N., Aïte, A., Houdé, O., & Moutier, S. (2012). Positive emotional context eliminates the framing effect in decision-making. Emotion, 12(5), 926–931. https://doi.org/10.1037/a0026788

Chan, S. W. K., & Chong, M. W. C. (2017). Sentiment analysis in financial texts. Decision Support Systems, 94, 53–64. https://doi.org/10.1016/j.dss.2016.10.006

Chen, Y., & Sun, Y. (2003). Age differences in financial decision-making: Using simple heuristics. Educational Gerontology, 29(7), 627–635. https://doi.org/10.1080/713844418

Chiodo, A. J., Guidolin, M., Owyang, M. T., & Shimoji, M. (2003). Subjective probabilities: Psychological evidence and economic applications. http://research.stlouisfed.org/wp/2003/2003-009.pdf

Christofi, M., Leonidou, E., & Vrontis, D. (2017). Marketing research on mergers and acquisitions: A systematic review and future directions. International Marketing Review, 34(5), 629–651. https://doi.org/10.1108/IMR-03-2015-0100/FULL/XML

Dias, N., Avila, M., Campani, C. H., & Maranho, F. (2019). The heuristic of representativeness and overconfidence bias in entrepreneurs. Latin American Business Review, 20(4), 317–340. https://doi.org/10.1080/10978526.2019.1656536

Fama, E. F. (1965). The behavior of stock-market prices. The Journal of Business, 38(1), 35–105. https://www.jstor.org/stable/2350752

Ganzach, Y. (2000). Judging risk and return of financial assets. Organizational Behavior and Human Decision Processes, 83(2), 353–370. https://doi.org/10.1006/OBHD. 2000.2914

Harrison, R. T., Mason, C., & Smith, D. (2015). Heuristics, learning and the business angel investment decision-making process. Entrepreneurship and Regional Development, 27(9–10), 527–554. https://doi.org/10.1080/08985626.2015.1066875

Ikram, Z. (2016). An empirical investigation on behavioral determinants on impact on investment decision making, moderating role of locus of control. Journal of Poverty, Investment and Development, 26. https://iiste.org/Journals/index.php/JPID/article/view/31771

Irshad, S., Badshah, W., & Hakam, U. (2016). Effect of representativeness bias on investment decision making. Management and Administrative Science Review, 5(1), 26–30.

Kafayat, A. (2014). Interrelationship of biases: Effect investment decisions ultimately. Theoretical and Applied Economics, XXI(6), 85–110.

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). https://doi.org/10.5296/ajfa.v6i1.4893

Khan, A., & Bashir, T. (2020). Scale development and exploration in representativeness bias intervening investment and financial decisions. Pakistan Social Sciences Review, 4(1), 403–417.

Khan, H. H., Naz, I., Qureshi, F., & Ghafoor, A. (2017). Heuristics and stock buying decision: Evidence from Malaysian and Pakistani stock markets. Borsa Istanbul Review, 17(2), 97–110. https://doi.org/10.1016/j.bir.2016.12.002

Khan, I., Afeef, M., Jan, S., & Ihsan, A. (2020). The impact of heuristic biases on investors’ investment decision in Pakistan stock market: Moderating role of long-term orientation. Qualitative Research in Financial Markets, 13(2), 252–274. https://doi.org/10.1108/QRFM-03-2020-0028

Kumar, S., & Goyal, N. (2015). Behavioural biases in investment decision making: A systematic literature review. Qualitative Research in Financial Markets, 7(1), 88–108. https://doi.org/10.1108/QRFM-07-2014-0022

Kumari, R., Parashar, P., & Sangma, A. (2024). A bibliometric overview of fund managers’ bias: Research contributions and influence. Journal of Operations and Strategic Planning. https://doi.org/10.1177/2516600X241245776

Kumari, R., Parashar, P., Sangma, A., & Das, J. (2025). Research patterns and intellectual structure of heuristic bias: A bibliometric overview using SPAR-4-SLR approach. In Global Knowledge, Memory and Communication. Emerald Publishing. https://doi.org/10.1108/GKMC-06-2024-0392

Lowies, G. A., Hall, J. H., & Cloete, C. E. (2016). Heuristic-driven bias in property investment decision-making in South Africa. Journal of Property Investment and Finance, 34(1), 51–67. https://doi.org/10.1108/JPIF-08-2014-0055

Madaan, G., & Singh, S. (2019). An analysis of behavioral biases in investment decision-making. International Journal of Financial Research, 10(4). http://dx.doi.org/10.5430/ijfr.v10n4p55

Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91. https://doi.org/10.2307/2975974

Miller, M. H., & Modigliani, F. (1961). Dividend policy, growth, and the valuation of shares. The Journal of Business, 34(4), 411–433. https://doi.org/10.1086/294442

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Antes, G., Atkins, D., Barbour, V., Barrowman, N., Berlin, J. A., Clark, J., Clarke, M., Cook, D., D’Amico, R., Deeks, J. J., Devereaux, P. J., Dickersin, K., Egger, M., Ernst, E., Gøtzsche, P. C., … Tugwell, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7). https://doi.org/10.1371/ journal.pmed.1000097

Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/S11192-015-1765-5/METRICS

Mushinada, V. N. C., & Veluri, V. S. S. (2019). Elucidating investors’ rationality and behavioural biases in Indian stock market. Review of Behavioral Finance, 11(2), 201–219. http://dx.doi.org/10.1108/RBF-04-2018-0034

Nofsinger, J. R. (2013). The psychology of investing (Vol. 5). Routledge. https://doi.org/10.4324/9781315230856

Obara, C. A. (2015). The effect of heuristic biases on investment returns by unit trusts in Kenya. School of Business University of Nairobi. http://erepository.uonbi.ac.ke/handle/11295/94049

Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., Mcdonald, S., … Mckenzie, J. E. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. In The BMJ (Vol. 372). BMJ Publishing Group. https://doi.org/10.1136/bmj.n160

Pandey, R., & Jessica, V. M. (2018). Measuring behavioural biases affecting real estate investment decisions in India: Using IRT. International Journal of Housing Markets and Analysis, 11(4), 648–668. https://doi.org/10.1108/IJHMA-12-2017-0103

Park, J., Konana, P., Gu, B., Kumar, A., & Raghunathan, R. (2010). Confirmation bias, overconfidence, and investment performance: Evidence from stock message boards. SSRN Electronic Journal. https://doi.org/10.2139/SSRN.1639470

Parveen, S., Satti, Z. W., Subhan, Q. A., & Jamil, S. (2020). Exploring market overreaction, investors’ sentiments and investment decisions in an emerging stock market. Borsa Istanbul Review, 20(3), 224–235. https://doi.org/10.1016/j.bir.2020.02.002

Pompian, M. M. (2011). Behavioral finance and wealth management: How to build optimal portfolios that account for investor biases. Wiley. https://www.wiley.com/en-us/Behavioral+Finance+and+Wealth+Management%3A+How+to+Build+Optimal+ Portfolios+That+Account+for+Investor+Biases-p-9781118046319

Quartz, S. R. (2009). Reason, emotion and decision-making: Risk and reward computation with feeling. Trends in Cognitive Sciences, 13(5), 209–215. https://doi.org/10.1016/j.tics.2009.02.003

Rasheed, M. H., Rafique, A., Zahid, T., & Akhtar, M. W. (2018). Factors influencing investor’s decision making in Pakistan: Moderating the role of locus of control. Review of Behavioral Finance, 10(1), 70–87. https://doi.org/10.1108/RBF-05-2016-0028

Rehan, R., & Umer, I. (2017). Behavioural biases and investor decisions. Market Forces, 12(2). Retrieved July 28, 2025, from https://kiet.edu.pk/marketforces/index.php/marketforces/article/view/341

Rethlefsen, M. L., Kirtley, S., Waffenschmidt, S., Ayala, A. P., Moher, D., Page, M. J., Koffel, J. B., Blunt, H., Brigham, T., Chang, S., Clark, J., Conway, A., Couban, R., de Kock, S., Farrah, K., Fehrmann, P., Foster, M., Fowler, S. A., Glanville, J., … Young, S. (2021). PRISMA-S: An extension to the PRISMA statement for reporting literature searches in systematic reviews. Systematic Reviews, 10(1), 1–19. https://doi.org/10.1186/S13643-020-01542-Z/TABLES/1

Richie, M., & Josephson, S. A. (2018). Quantifying heuristic bias: Anchoring, availability, and representativeness. Teaching and Learning in Medicine, 30(1), 67–75. https://doi.org/10.1080/10401334.2017.1332631

Ritter, J. (1988). The buying and selling behavior of individual investors at the turn of the year. The Journal of Finance, 43(3), 701–717. https://doi.org/10.1111/J.1540-6261.1988.TB04601.X

Ritter, J. (2003). Behavioral finance. Pacific Basin Finance Journal, 11(4), 429–437. https://doi.org/10.1016/S0927-538X(03)00048-9

Roberts, C., & Henneberry, J. (2007). Exploring office investment decision-making in different European contexts. Journal of Property Investment and Finance, 25(3), 289–305. https://doi.org/10.1108/14635780710746939

Salman, M., Khan, B., Khan, S. Z., & Khan, R. U. (2021). The impact of heuristic availability bias on investment decision-making: Moderated mediation model. Business Strategy and Development, 4(3), 246–257. https://doi.org/10.1002/bsd2.148

Schotten, M., el Aisati, M., Meester, W. J. N., Steiginga, S., & Ross, C. A. (2019). A brief history of Scopus: The world’s largest abstract and citation database of scientific literature. Research Analytics, 31–58. https://doi.org/10.1201/9781315155890-3

Shah, S. Z. A., Ahmad, M., & Mahmood, F. (2018). Heuristic biases in investment decision-making and perceived market efficiency: A survey at the Pakistan stock exchange. Qualitative Research in Financial Markets, 10(1), 85–110. https://doi.org/10.1108/QRFM-04-2017-0033

Shantha Gowri, B., & Ram, V. S. (2019). Does availability bias have influence on FMCG investors? An empirical study on cognitive dissonance, rational behaviour and mental accounting bias. International Journal of Financial Research, 10(4), 68–83. https://doi.org/10.5430/IJFR.V10N4P68

Sharma, A., & Kumar, A. (2019). A review paper on behavioral finance: Study of emerging trends. Qualitative Research in Financial Markets, 12(2), 137–157. https://doi.org/10.1108/QRFM-06-2017-0050

Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425–442. https://doi.org/10.1111/J.1540-6261. 1964.TB02865.X

Slovic, P., & Lichtenstein, S. (1971). Comparison of Bayesian and regression approaches to the study of information processing in judgment. Organizational Behavior and Human Performance, 6(6), 649–744. https://doi.org/10.1016/0030-5073(71)90033-X

Sumantri, M. B. A., Susanti, N., & Yanida, P. (2024). Effect of representativeness bias, availability bias and anchoring bias on investment decisions. Economics and Business Quarterly Reviews, 7(2).

Teng, J. Y., & Tzeng, G. H. (1996). A multiobjective programming approach for selecting non-independent transportation investment alternatives. Transportation Research Part B: Methodological, 30(4), 291–307. https://doi.org/10.1016/0191-2615(95)00032-1

Tin, O. S., & Wee-Siong Hii, J. (2020). The relationship between heuristics behaviour and investment performance on debt securities in Johor. Journal of Arts & Social Sciences, 3(2), 57–74.

Toma, F.-M. (2015). Behavioral biases of the investment decisions of Romanian investors on the Bucharest stock exchange. Procedia Economics and Finance, 32, 200–207. https://doi.org/10.1016/S2212-5671(15)01383-0

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375

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

Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131.

Van den Steen, E. (2002). Skill or luck? Biases of rational agents. MIT Sloan School of Management. https://dspace.mit.edu/handle/1721.1/1684

Wang, F. A. (2001). Overconfidence, investor sentiment, and evolution. Journal of Financial Intermediation, 10(2), 138–170. https://doi.org/10.1006/JFIN.2001.0311

Waweru, N. M., Munyoki, E., & Uliana, E. (2008). The effects of behavioural factors in investment decision-making: A survey of institutional investors operating at the Nairobi Stock Exchange. International Journal of Business and Emerging Markets, 1(1), 24–41. https://doi.org/10.1504/IJBEM.2008.019243

Yaniv, I. (1997). Weighting and trimming: Heuristics for aggregating judgments under uncertainity. Organizational Behavior and Human Decision Processes, 69(3), 237–249. https://doi.org/10.1006/OBHD.1997.268