Evaluating the Effectiveness of Accounting Beta in Explaining Stock Returns: An Extended CAPM Approach

Authors

  • Hoora Nikfalah * Department of Financial Management, Faculty of Management, Economics and Accounting, Karaj Branch, Islamic Azad University, Karaj, Iran.

https://doi.org/10.22105/tqfb.v2i2.83

Abstract

The purpose of this study is to evaluate the effectiveness of accounting betas and downside risk–based accounting betas in explaining and pricing stock returns within the extended Capital Asset Pricing Model (CAPM). To this end, the performance of accounting betas based on Return on Assets (ROA), Return on Equity (ROE), and Return on Sales (ROS) is examined, both in their conventional and downside risk forms, alongside the classical market beta and control variables. The study's statistical population comprises large, index-forming firms listed on the Tehran Stock Exchange, and the final sample includes 25 non-financial companies over the period 2015–2024. Quarterly data are employed, and the empirical analysis is conducted using panel-data regression techniques in EViews. The results indicate that the classical CAPM alone lacks sufficient explanatory power to account for cross-sectional differences and average stock returns in the Iranian capital market. However, incorporating the accounting beta based on ROA, particularly in its downside risk form, significantly enhances the explanatory power of the extended CAPM. In contrast, accounting betas based on ROE and ROS, whether in conventional or downside risk forms, do not exhibit statistically significant explanatory power in most model specifications. Moreover, the findings suggest that downside accounting betas do not necessarily provide significant incremental information beyond their conventional counterparts. Overall, the findings indicate that the effectiveness of accounting betas in asset pricing models is selective, and only certain measures (most notably the downside accounting beta based on ROA) can provide a more comprehensive representation of the systematic risk affecting stock returns when used alongside the classical market beta.

Keywords:

Accounting beta, Lower partial moment, Capital asset pricing model

References

  1. [1] Baradaran, M., & Abedinpour, A. (2022). Investigating the role of different levels of corporate governance on moderating the risk-return relationship in companies listed on the Tehran Stock Exchange. Quarterly journal of management and accounting research, 2(4), 243-261. (In Persian). https://civilica.com/doc/1603952/

  2. [2] Enayati-Allahhi, S., Askarzadeh, Gh., Khaje, H., & Abtahi, Y. (2024). Evaluating the effect of macro fundamental variables and political risk on the volatility of returns in the Tehran Stock Exchange. Defense economics and sustainable development quarterly, 9(32), 135-154. (In Persian). https://www.researchgate.net/publication/402310831_arzyaby_athr_mtghyrhay_bnyady_klan_w_rysk_syasy_br_nwsanat_bazdh_bwrs_awraq_bhadar_thran

  3. [3] Geraeeli Nezhad Foomeshi, M., Nabavi Chashmi, S. A., & Alizadeh, R. (2024). Evaluating the impact of systematic risk on the stock returns of companies listed on the iran stock exchange using an optimal model based on rough set, regression and arbitrage pricing theory. Journal of Investment Knowledge, 13(52), 373-394. (In Persian). https://www.jik-ifea.ir/article_23152_76c2f1b4a1f0bfbbff4a4789d9d82630.pdf

  4. [4] Kordestani, G., Eskandari, R., & Asoodeh, M. (2024). The role of fundamental accounting variables in determining systematic risk: Financially distressed and healthy corporates. Financial accounting knowledge, 11(2), 1-28. (In Persian). https://doi.org/10.30479/jfak.2023.18856.3098

  5. [5] Jalali Naeini, A. R., Fattahi, A. A., & Pakdel Benab, S. (2016). Evaluating the capability of uni-factor and multi-factor models for predicting the stocks registered in Tehran Stock Exchange. Planning and budget quarterly, 21(3), 49-66. (In Persian). https://civilica.com/doc/1201842/

  6. [6] Rostamian, F., & Javanbakht, S. (2010). Comparing of the efficiency of capital asset pricing model (CAPM) and consumption-based capital asset pricing model (CCAPM) in Tehran Stock Exchange (TSE). Empirical studies in financial accounting, 8(31), 143-157. (In Persian). https://dor.isc.ac/dor/20.1001.1.28210166.1389.8.31.7.2

  7. [7] Raei, R., Farhadi, R., & Shirvani, A. (2011). The relationship between return and risk over time: Evidence from the Capital Asset Pricing Model over time (ICAPM). Financial management and accounting perspectives journal, 1(2), 125-140. (In Persian). https://elmnet.ir/doc/1380017-92245

  8. [8] Ghafouri, R., & Jafari, S. N. (2023). Pricing of liquidity risks in different trends of market using the optimal illiquidity measure. Journal of securities and exchange, 16(62), 103-138. (In Persian). https://doi.org/10.22034/JSE.2022.11712.1799

  9. [9] Abbasi, E., & Kaviani, M. (2019). Experimental test and evaluate the possibility of using traditional CAPM model and MCAPM in the Tehran Stock Exchange. Accounting and auditing studies, 8(29), 17-36. (In Persian). https://www.iaaaas.com/article_98727_en.html?lang=fa

  10. [10] Estrada, J. (2002). Systematic risk in emerging markets: The D-CAPM. Emerging markets review, 3(4), 365–379. https://doi.org/10.1016/S1566-0141(02)00042-0

  11. [11] Mehrali, Z., Talebnia, G., & Ahmadzade, H. (2023). The evalution of DCAPM, ACAPM model standard capital cost. Journal of investment knowledge, 12(48), 671-696. (In Persian). https://www.jik-ifea.ir/article_21915.html?lang=en

  12. [12] Nekrasov, A., & Shroff, P. K. (2009). Fundamentals-based risk measurement in valuation. The accounting review, 84(6), 1983–2011. https://doi.org/10.2308/accr.2009.84.6.1983

  13. [13] Hill, N. C., & Stone, B. K. (1980). Accounting betas, systematic operating risk, and financial leverage: A risk-composition approach to the determinants of systematic risk. Journal of financial and quantitative analysis, 15(3), 595–637. https://doi.org/10.2307/2330401

  14. [14] Rutkowska-Ziarko, A., & Pyke, C. (2017). The development of downside accounting beta as a measure of risk. Economics and business review, 3(4), 55–65. https://doi.org/10.18559/ebr.2017.4.4

  15. [15] Haddadzadeh, R., & Abbasian, E. (2024). Using capital loss beta in managers’ decision-making to form an optimal portfolio in the Tehran Stock Exchange. Judgment and decision making in accounting, 3(11), 1-24. (In Persian). https://doi.org/10.30495/JDAA.1403.1183595

  16. [16] Geraeeli Nezhad Foomeshi, M., Nabavi Chashmi, S. A., & Alizadeh, R. (2024). Evaluating the impact of systematic risk on the stock returns of companies listed on the iran stock exchange using an optimal model based on rough set, regression and arbitrage pricing theory. Journal of investment knowledge, 13(52), 373-394. (In Persian). https://www.jik-ifea.ir/article_23152_76c2f1b4a1f0bfbbff4a4789d9d82630.pdf

  17. [17] Dehghan Khavari, S., & Mirjalili, S. H. (2019). The interaction of systematic risk with stock returns in the Tehran Stock Exchange. Financial economics journal, 13(49), 257-282. (In Persian). https://civilica.com/doc/1569729/

  18. [18] Irawan, A., Amalia, H. S., Hayati, N., Rusqiati, D., & Firdausi, I. (2025). The influence of asset growth and asset size on systematic risk (Beta) of banking stocks on the Indonesia Stock Exchange. International journal of research in social science and humanities (IJRSS), 6(1), 130–136. https://doi.org/10.47505/IJRSS.2025.1.9

  19. [19] El Mosallamy, D. A., & Yasser, H. (2024). Does downside beta matter in asset pricing? Evidence from the Egyptian Stock Exchange. MSA-management sciences journal, 3(1), 191–212. https://doi.org/10.21608/msamsj.2023.257614.1048

  20. [20] Usman, M. (2023). Bank contribution to financial sector systemic risk and expected returns: Evidence from large US banks. Borsa istanbul review, 23(1), 203–216. https://doi.org/10.1016/j.bir.2022.10.002

  21. [21] Feng, Y., Wang, G. J., Zhu, Y., & Xie, C. (2023). Systemic risk spillovers and the determinants in the stock markets of the Belt and Road countries. Emerging markets review, 55, 101020. https://doi.org/10.1016/j.ememar.2023.101020

  22. [22] Zhang, X., Wei, C., Lee, C. C., & Tian, Y. (2023). Systemic risk of Chinese financial institutions and asset price bubbles. The north american journal of economics and finance, 64(1), 101880. https://doi.org/10.1016/j.najef.2023.101880

  23. [23] Price, K., Price, B., & Nantell, T. J. (1982). Variance and lower partial moment measures of systematic risk: some analytical and empirical results. The journal of finance, 37(3), 843–855. https://doi.org/10.1111/j.1540-6261.1982.tb02227.x

  24. [24] Galagedera, D. U. A., & Brooks, R. D. (2007). Is co-skewness a better measure of risk in the downside than downside beta?: Evidence in emerging market data. Journal of multinational financial management, 17(3), 214–230. https://doi.org/10.1016/j.mulfin.2006.10.001

Published

2025-06-05

How to Cite

Nikfalah, H. (2025). Evaluating the Effectiveness of Accounting Beta in Explaining Stock Returns: An Extended CAPM Approach. Transactions on Quantitative Finance and Beyond, 2(2), 109-119. https://doi.org/10.22105/tqfb.v2i2.83

Similar Articles

31-40 of 49

You may also start an advanced similarity search for this article.