A QUANTITATIVE LITERATURE REVIEW ON THE IMPACT OF FINANCIAL RATIOS ON STOCK RETURN VOLATILITY IN GLOBAL CAPITAL MARKETS
DOI:
https://doi.org/10.61677/count.v3i2.571Keywords:
Financial ratios, stock return volatility, quantitative literature review, global capital markets, risk assessmentAbstract
This study conducts a quantitative literature review to investigate the impact of financial ratios on stock return volatility across global capital markets. While previous research often focuses on the relationship between financial ratios and average returns, this review shifts attention to volatility—an essential but less explored dimension of financial risk. Using a systematic search strategy, 53 peer-reviewed empirical studies published between 2015 and 2024 were selected from major databases such as Scopus, Web of Science, and ScienceDirect. The analysis identifies Return on Equity (ROE) and Debt-to-Equity Ratio (DER) as the most consistently significant predictors of return volatility, with ROE generally linked to lower volatility and DER to higher volatility. Additionally, Earnings per Share (EPS) and liquidity ratios demonstrate mixed and context-specific results. The review also evaluates methodological differences, showing that advanced models like GARCH and panel regressions yield more reliable volatility estimates than traditional OLS methods. A notable novelty of this research lies in its comparative and semi-quantitative approach, which synthesizes findings by region, ratio type, and method. Moreover, the inclusion of post-pandemic literature allows the study to reflect recent shifts in financial market behavior and risk interpretation. The results offer valuable insights for global investors, financial analysts, and policymakers aiming to understand how firm-level financial indicators influence market risk. In conclusion, this review not only maps empirical patterns but also highlights the importance of methodological precision and cross-market perspective in financial volatility research.
References
Ali, S., Akbar, M., & Ormrod, P. (2022). Financial performance and stock volatility: Evidence from a global perspective. Emerging Markets Review, 52, 100870. https://doi.org/10.1016/j.ememar.2022.100870
Boell, S. K., & Cecez-Kecmanovic, D. (2015). On being ‘systematic’ in literature reviews. Information & Management, 52(2), 161–173. https://doi.org/10.1016/j.im.2014.08.008
Bodie, Z., Kane, A., & Marcus, A. J. (2021). Investments (12th ed.). McGraw-Hill Education.
Boonlert, K., & Chutivongse, N. (2023). Panel regression analysis of financial determinants of volatility in ASEAN stock markets. Journal of Economic Studies, 50(2), 344–361. https://doi.org/10.1108/JES-04-2022-0190
Brigham, E. F., & Houston, J. F. (2022). Fundamentals of Financial Management (16th ed.). Cengage Learning.
Chen, L., & Zhao, X. (2020). Financial fundamentals and stock return volatility: A sectoral analysis. Journal of Risk and Financial Management, 13(4), 78. https://doi.org/10.3390/jrfm13040078
Chen, Y., Lin, H., & Su, Y. (2021). Investor sentiment, financial ratios, and stock volatility. Finance Research Letters, 39, 101620. https://doi.org/10.1016/j.frl.2020.101620
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383–417. https://doi.org/10.2307/2325486
Gusenbauer, M., & Haddaway, N. R. (2021). Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Research Synthesis Methods, 12(2), 181–217. https://doi.org/10.1002/jrsm.1467
Haddaway, N. R., Collins, A. M., Coughlin, D., & Kirk, S. (2020). A practical guide to conducting systematic reviews in the social sciences. Nature Human Behaviour, 4(4), 350–361. https://doi.org/10.1038/s41562-020-0831-6
Iqbal, A., Ahmad, R., & Raza, A. (2020). Do financial ratios influence stock volatility? Panel evidence from South Asia. Asian Journal of Accounting Research, 5(2), 209–225. https://doi.org/10.1108/AJAR-05-2020-0047
Lee, C., & Yoon, S. (2022). Revisiting the link between firm fundamentals and volatility using meta-analysis. International Review of Economics & Finance, 80, 145–160. https://doi.org/10.1016/j.iref.2022.01.014
Mitra, A., & Ghosh, S. (2021). Financial leverage and stock market volatility: Evidence from emerging markets. Journal of Financial Economic Policy, 13(3), 296–314. https://doi.org/10.1108/JFEP-06-2020-0136
Nguyen, P. T., Dang, T. Q., & Tran, D. H. (2022). Financial ratios, macroeconomic factors, and stock return volatility in Vietnam. Finance Research Letters, 48, 102930. https://doi.org/10.1016/j.frl.2022.102930
Park, J., & Koo, B. (2020). The economic structure and financial ratio effects on stock volatility: Evidence from OECD markets. Journal of International Financial Markets, Institutions and Money, 65, 101188. https://doi.org/10.1016/j.intfin.2020.101188
Ross, S. A., Westerfield, R. W., & Jordan, B. D. (2022). Corporate Finance (13th ed.). McGraw-Hill Education.
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Tran, H. T., & Ngo, M. H. (2021). Comparative analysis of volatility modeling techniques in frontier markets. Economics Bulletin, 41(4), 2813–2823. https://econpapers.repec.org/RePEc:ebl:ecbull:eb-21-00943
Wang, Y., & Wang, J. (2023). Financial indicators and global stock risk prediction using machine learning and macro-financial data. Journal of International Financial Markets, Institutions and Money, 86, 101574. https://doi.org/10.1016/j.intfin.2023.101574
Watanabe, O., Mori, T., & Kim, S. (2021). Capital structure, profitability ratios, and volatility in East Asian markets. Journal of Asian Economics, 73, 101298. https://doi.org/10.1016/j.asieco.2021.101298
Yusuf, M., Rahman, M. M., & Khan, T. (2023). Post-pandemic financial stability and volatility spillovers. The Quarterly Review of Economics and Finance. https://doi.org/10.1016/j.qref.2023.03.008
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