Analyzing Fundamental Anomalies of Stock Market in BRICS Countries

BRICS countries form a unique group of emerging economies characterized by fast growth, considerable demographic potential, which stipulates a rising impact on global economic processes. Researching fundamental anomalies of stock market in these countries requires specialized methodological approaches taking into account specific features of national finance market. In the research CAPM models, 3-factor and 5-factort Fama French models and Karharta model were used These tools help identify anomalies in the institutional environment in BRICS countries, such as paradox of weak institutes but high growth rates of economy or constant asymmetry between formal regulations and their practical use and simultaneously high level of shadow economy, which envisaged analyzing the quality of institutes through indicators of law supremacy, corruption control and efficiency of state governance and investigation of regulatory features of finance markets and their compliance with international standards. For instance, on Russian, Brazilian, Indian and Chinese markets 3-factor and 5-factorn Fama French model and Karharta model allow us to identify several systematic anomalies: effects of size, cost and high volatility, which do not correspond to fundamental indicators. Researching fundamental anomalies in BRICS countries requires complex methodological tools taking into account specific features of these emerging economies. The combination of traditional econometric methods with new approaches and fintech-tools, data science and net analysis can give an opportunity to identify and analyze systemic deviations in share prices from expected ones in accordance with logics of economic and finance processes.

1. Kaneman D., Slovik P., Tverski A. Prinyatie resheniy v neopredelennosti: pravila i predubezhdeniya [Decision-Making in Uncertainty: Rules and Prejudices]. Kharkov, Publishing house of the Institute of Applied Psychology ‘Humanitarian Center’, 2005. (In Russ.).

2. Anjum S. Impact of Market Anomalies on Stock Exchange: a Comparative Study of KSE and PSX. Future Business Journal , 2020, Vol. 6, No. 1, p. 1.

3. Atodaria Z., Shah D., Nandaniya J. An Empirical Investigation of the CAPM and the Fama French Three Factor Model in Indian Stock Market. International Journal of All Research Education and Scientific Methods (IJARESM) , 2021, Vol. 9, No. 5, pp. 1454–1459.

4. Carhart M. M. On Persistence in Mutual Fund Performance. The Journal of Finance , 1997, Vol. 52, No. 1, pp. 57–82.

5. Carvalho G. A. et al. The Pricing of Anomalies Using Factor Models: a Test in Latin American Markets. Revista Contabilidade & Finanças , 2021, Vol. 32, pp. 492–509.

6. Fama E. F. The Behavior of Stock-Market Prices. Journal of Business , 1965, Vol. 38, No. 1, pp. 34–105.

7. Fama E. F., French K. R. A Five-Factor Asset Pricing Model. Journal of Financial Economics , 2015, Vol. 116, No. 1, pp. 1–22.

8. Fama E. F., French K. R. Common Risk Factors in the Returns on Stocks and Bonds. Journal of Financial Economics , 1993, Vol. 33, No. 1, pp. 3–56.

9. Fama E. F., MacBeth J. D. Risk, Return, and Equilibrium: Empirical Tests. Journal of Political Economy , 1973, Vol. 81, No. 3, pp. 607–636.

10. Hu G. X. et al. Fama–French in China: Size and Value Factors in Chinese Stock Returns. International Review of Finance , 2019, Vol. 19, No. 1, pp. 3–44.

11. Jianqiu Wang, Zhuo Wang, Ke Wu. Forecasting Stock Market Returns Based on Anomalies: the example of China. International Journal of Forecasting , 2025, Vol. 41 (1). DOI: 10.1016/j.ijforecast.2024.12.007.

12. Mahlophe M. I., Muzindutsi P. F. Testing for Market Anomalies in Different Sectors of the Johannesburg Stock Exchange. International Journal of Economics and Finance Studies , 2017, Vol. 9, No. 1, pp. 219–234.

13. Manushkin N. Application of Fama French Five Factor Model on the Russian Market. Moscow, National Research University Higher School of Economics, 2024.

14. Patel J. B. The Size Effect Anomaly in the Indian Stock Market. Journal of Applied Business & Economics , 2024, Vol. 26, No. 3, pp. 239–247.

15. Ren K. An Empirical Study of Capital Asset Pricing Model based on Chinese A-share Trading Data. arXiv preprint arXiv:2305.04838 , 2023.

16. Sharpe W. F. Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk. The Journal of Finance, 1964, Vol. 19, No. 3, pp. 425–442.

17. Vermeulen M. Fundamental Factors Influencing Returns of Shares Listed on the Johannesburg Stock Exchange in South Africa. Journal of Economic and Financial Sciences , 2016, Vol. 9, No. 2, pp. 426–435.