PENNY STOCK RETURNS IN THE MALAYSIAN STOCK MARKET: COGNITIVE HEURISTIC PERSPECTIVES

Autores/as

DOI:

https://doi.org/10.18623/rvd.v23.4301

Palabras clave:

Penny Stock Returns, Cognitive Heuristics, Malaysian Stock Market

Resumen

In recent years, the prevalence of penny stock fever has risen in the Malaysian stock market, sparking interest among individual investors due to the potential for higher returns. Commonly, individual investors overlook fundamental and technical analysis when investing in penny stocks because of the nature of these stocks. Thus, this study is crucial for examining penny stock returns in the Malaysian stock market from a cognitive heuristic perspective. Specifically, this study employs monthly panel data of 26 penny property firms from 1st January 2019 to 31st May 2025. The dependent variable is penny stock returns in the Malaysian stock market, and the main independent variables are overconfidence, anchoring, and herding. Furthermore, this study employs three static panel data methods, namely Pooled Ordinary Least Squares (Pooled OLS), Fixed Effects Model (FEM), and Random Effects Model (REM). It examined the specific effects of Pooled OLS, REM, and FEM using the Poolability test, the Breusch-Pagan (Lagrange Multiplier) Test, and the Hausman Test. Subsequently, three diagnostic tests are conducted: descriptive analysis, the serial correlation test, and the heteroskedasticity test. Based on these analyses, Malaysian investors exhibit irrationality in their investment decision-making, driven by overconfidence, anchoring, and herding.

Citas

Ahmad, M. (2024). The role of cognitive heuristic-driven biases in investment management activities and market efficiency: A research synthesis. International Journal of Emerging Markets, 19(2), 273–321.

Ahmad, M., & Wu, Q. (2024). Heuristic-driven biases as mental shortcuts in investment management activities: A qualitative study. Qualitative Research in Financial Markets, 16(2), 291–309.

Ahmad, M., Wu, Q., Abbass, Y., & Ahmed, S. (2025). The role of financial knowledge in managing antecedents and repercussions of fundamental and technical anomalies: Evidence from an emerging Asian economy. Journal of Advances in Management Research, 22(2), 263–300.

Bhootra, A. (2018). Another look at anchoring and stock return predictability. Finance Research Letters, 25, 259–265.

Buditomo, B., Candra, S., & Soetanto, T. V. (2024). Fama and French five-factor study of stock market in Indonesia. International Journal of Organizational Behavior and Policy (IJOBP), 3(1), 39–52.

Busenitz, L. W., & Barney, J. B. (1997). Differences between entrepreneurs and managers in large organizations: Biases and heuristics in strategic decision-making. Journal of Business Venturing, 12(1), 9–30.

Campbell, J. Y., Ramadorai, T., & Ranish, B. (2019). Do the rich get richer in the stock market? Evidence from India. American Economic Review: Insights, 1(2), 225–240.

Chang, C. H., Huang, H. H., Chang, Y. C., & Lin, T. Y. (2015). Stock characteristics, trading behavior, and psychological pitfalls. Managerial Finance, 41(12), 1298–1317.

Chang, E. C., Luo, Y., & Ren, J. (2012). Investor overconfidence and idiosyncratic volatility of stock returns. [Working paper], 1–14.

Chen, R., Lee, S., Yu, S., & Hsieh, C. (2009). The nature of news, insider ownership, stock price and stock returns. In 2009 First International Conference on Information Science and Engineering (pp. 5235–5238).

Chhapra, I. U., Kashif, M., Rehan, R., & Bai, A. (2018). An empirical investigation of investor’s behavioral biases on financial decision making. Asian Journal of Empirical Research, 8(3), 99–109.

Chiang, T. C., & Zheng, D. (2010). An empirical analysis of herd behavior in global stock markets. Journal of Banking and Finance, 34(8), 1911–1921.

Dai, Z., & Zhu, H. (2020). Stock return predictability from a mixed model perspective. Pacific-Basin Finance Journal, 60, Article 101267.

Dittrich, D. A., Güth, W., & Maciejovsky, B. (2005). Overconfidence in investment decisions: An experimental approach. The European Journal of Finance, 11(6), 471–491.

Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383–417.

Fernández, B., García-Merino, T., Mayoral, R., Santos, V., & Vallelado, E. (2011). Herding, information uncertainty and investors’ cognitive profile. Qualitative Research in Financial Markets, 3(1), 7–33.

Jabeen, S., Rizavi, S. S., & Farhan, M. (2022). Herd behaviour, fundamental, and macroeconomic variables – The driving forces of stock returns: A panel-based pooled mean group approach. Frontiers in Psychology, 13, Article 758364.

Javaira, Z., & Hassan, A. (2015). An examination of herding behavior in Pakistani stock market. International Journal of Emerging Markets, 10(3), 474–490.

Jiang, L., Jin, F., Liu, Y., & Yang, H. (2023). Research on the anchoring bias in stock investment: Evidence from Chinese stock market. Advances in Economics, Management and Political Sciences, 29(1), 120–125.

Kahneman, D., Slovic, P., & Tversky, A. (1982). Judgement under uncertainty: Heuristics and biases. Cambridge University Press.

Kourtidis, D., Sevic, Z., & Chatzoglou, P. (2015). Overconfidence and stock returns: A behavioural perspective. International Journal of Behavioural Accounting and Finance, 5(1), 57–81.

Kumar, S., & Goyal, N. (2016). Evidence on rationality and behavioural biases in investment decision making. Qualitative Research in Financial Markets, 8(4), 270–287.

Law, S. H. (2018). Applied panel data analysis: Short panels. Universiti Putra Malaysia Press.

Liu, Q., Rhee, S. G., & Zhang, L. (2011). On the trading profitability of penny stocks. In Australasian Finance and Banking Conference (pp. 1–32).

Liu, Q., Rhee, S. G., & Zhang, L. (2015). Limits-to-arbitrage in US penny stocks: An overlooked segment of US equity markets. In Asian Finance Association (AsianFA) 2015 Conference Paper (pp. 1–36).

Mand, A. A., & Sifat, I. (2021). Static and regime-dependent herding behavior: An emerging market case study. Journal of Behavioral and Experimental Finance, 29, Article 100466.

Nasihin, A., Ithari, Z., & Roslan, J. (2021). Retail investor behaviour in 2020: Data insights. Institute for Capital Market Research Malaysia. https://cmr.my/retail-investor-behaviour-in-2020-data

Negara, I., & Wibowo, B. (2021). Analysis of momentum strategy for generating abnormal return in the Indonesia Stock Exchange. In Proceedings of the 5th International Conference on Family Business and Entrepreneurship.

Pesaran, M. H. (2015). Time series and panel data econometrics. Oxford University Press.

Piotrowski, M., & Bünnings, C. (2022). How heuristics in judgement influence the securities investment decision process. Journal of Financial Services Marketing, 29(1), 97–105.

Pompian, M. M. (2011). Behavioral finance and wealth management: How to build investment strategies that account for investor biases. John Wiley & Sons.

Securities Commission Malaysia. (2021). Annual report 2021. Securities Commission Malaysia.

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.

Simon, H. A. (1955). A behavioural model of rational choice. Quarterly Journal of Economics, 69(1), 99–118.

Song, I., & Park, Y. K. (2019). Penny stocks: A handy tool for enhancing fund performance? Asian-Pacific Journal of Financial Studies, 48(4), 445–475.

Studenmund, A. (2021). Using econometrics: A practical guide. Pearson.

Tan, Q., Rasheed, M. H., & Rasheed, M. S. (2024). Post-COVID-19 technology adoption and noise trading: Elucidation of investors’ sentiments across cultures. China Accounting and Finance Review, 26(4), 431–458.

Thangavelu, T. A. (2019). Size and value premium, performance and dynamic linkages of penny stocks in Malaysia [Doctoral dissertation, University of Malaya].

Van Campenhout, G., & Verhestraeten, J. F. (2010). Herding behavior among financial analysts: A literature review.

Yi, L. Y. (2020, [date not available]). Penny stocks rush pushes Bursa volume to new record high. The Edge Malaysia. https://www.theedgemarkets.com

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Publicado

2026-05-13

Cómo citar

Sallehuddin, S. N. S., & Abdullah, N. (2026). PENNY STOCK RETURNS IN THE MALAYSIAN STOCK MARKET: COGNITIVE HEURISTIC PERSPECTIVES. Veredas Do Direito, 23(8), e234301. https://doi.org/10.18623/rvd.v23.4301