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Firm fundamentals and sectoral heterogeneity in Sharia-compliant stock return volatility: Evidence from Indonesia‎
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June 7, 2025
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August 6, 2025
Published
August 19, 2025
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Abstract

Introduction
The volatility of stock returns in Islamic equity markets is a critical concern for both investors and policymakers. Islamic screening principles restrict excessive leverage and speculative activities, potentially shaping volatility in distinct ways compared to conventional markets. Understanding how firm fundamentals affect volatility within the Indonesia Sharia Stock Index is essential for evaluating the stability and competitiveness of Islamic capital markets.
Objectives
This study aims to examine whether firm fundamentals, i.e. profitability, liquidity, leverage, size, growth, and asset turnover, systematically influence stock return volatility in Sharia‐compliant firms. It also seeks to identify cross‐sector heterogeneity in these relationships, highlighting whether specific industries are more sensitive to fundamental determinants of volatility.
Method
The research employs a quantitative design using a panel of 200 nonfinancial firms listed in the Indonesia Sharia Stock Index over the 2019–2023 period. Approximately 4,000 firm–quarter observations were analyzed. Volatility was modeled through panel generalized autoregressive conditional heteroskedasticity estimation, while Chow, Wald, and likelihood ratio tests were applied to assess sectoral heterogeneity. The study incorporated firm fundamentals as independent variables with sector‐specific models to capture industry differences.
Results
The findings reveal that profitability and liquidity significantly reduce stock return volatility, while leverage consistently increases it. Firm size emerges as the most powerful stabilizer, growth contributes to higher volatility, and asset turnover lowers volatility. The magnitude of these effects varies across industries: Energy and Basic Materials show the strongest sensitivity to fundamental shocks, while Utilities and Healthcare display weaker responses. Statistical tests confirm substantial cross‐sector heterogeneity in the relationship between fundamentals and volatility.
Implications
The results demonstrate that Islamic screening principles, particularly restrictions on leverage, effectively mitigate excessive risk in Sharia markets. The study reinforces the relevance of Modern Portfolio Theory and Arbitrage Pricing Theory in Islamic settings while emphasizing the need for sector‐sensitive investment strategies. Portfolio managers and regulators may use these insights to refine risk management practices and enhance the resilience of Islamic equity markets.
Originality/Novelty
This study offers a novel application of panel GARCH modeling to explore cross‐sectoral heterogeneity in an Islamic equity universe. It contributes empirical evidence that firm fundamentals significantly and differentially shape volatility across industries, thereby advancing both Islamic finance scholarship and practical portfolio construction in Sharia‐compliant markets.

Keywords

cross-sectoral heterogeneity Islamic fundamental determinants ISSI Panel GARCH stock volatility

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Copyright (c) 2025 Rinda Fithriyana, Andi Irfan, Wahyu Febri Ramadhan Sudirman

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How to Cite
Fithriyana, R., Irfan, A. ., & Sudirman, W. F. R. . (2025). Firm fundamentals and sectoral heterogeneity in Sharia-compliant stock return volatility: Evidence from Indonesia‎. Journal of Islamic Economics Lariba, 11(2), 969–994. https://doi.org/10.20885/jielariba.vol11.iss2.art12
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References

  1. Abbas, D. S., Dillah, U., & Sutardji, S. (2021). Faktor—Faktor yang mempengaruhi nilai perusahaan [Factors that affect firm value]. Jurnal Akuntansi Dan Manajemen, 17(1), 42–49. https://doi.org/10.36406/jam.v17i01.274

    DOI: https://doi.org/10.36406/jam.v17i01.274

  2. Agusta, I. M. A. I., Barakbah, A., & Fariza, A. (2022). Technical analysis based automatic trading prediction system for stock exchange using support vector machine. EMITTER International Journal of Engineering Technology, 10(2), 279–293. https://doi.org/10.24003/emitter.v10i2.740

    DOI: https://doi.org/10.24003/emitter.v10i2.740

  3. Agustyawati, D., & Rais R, M. (2023). The effect financial performance on stock price (Case study of food company listed on Indonesia Stock Exchange BEI). International Journal of Management Progress, 5(1), 37–52. https://doi.org/10.35326/ijmp.v5i1.4121

    DOI: https://doi.org/10.35326/ijmp.v5i1.4121

  4. Ahmad, F. (2024). The relationship between intellectual capital, financial stability, firm performance, market value, and bankruptcy risk: Empirical evidence from Pakistan. Journal of the Knowledge Economy, 16(1), 1347–1395. https://doi.org/10.1007/s13132-024-02055-z

    DOI: https://doi.org/10.1007/s13132-024-02055-z

  5. Ahmed, W. M. A. (2018). How do Islamic versus conventional equity markets react to political risk? Dynamic panel evidence. International Economics, 156, 284–304. https://doi.org/10.1016/j.inteco.2018.05.001

    DOI: https://doi.org/10.1016/j.inteco.2018.05.001

  6. Ahmed, Z., & Hla, D. T. (2019). Stock return volatility and capital structure measures of nonfinancial firms in a dynamic panel model: Evidence from Pakistan. International Journal of Finance & Economics, 24(1), 604–628. https://doi.org/10.1002/ijfe.1682

    DOI: https://doi.org/10.1002/ijfe.1682

  7. Ahsan, M. K. (2016). Measuring financial performance based on CAMEL: A study on selected Islamic banks in Bangladesh. Asian Business Review, 6(13), 47–56. https://doi.org/10.18034/abr.v6i1.803

    DOI: https://doi.org/10.18034/abr.v6i1.26

  8. Akib, M., Nurdin, E., Purnaman, S. M. N., & Anwar, F. (2023). Does capital structure, profitability, and dividend policy improve stock prices? International Journal of Professional Business Review, 8(6), e02395. https://doi.org/10.26668/businessreview/2023.v8i6.2395

    DOI: https://doi.org/10.26668/businessreview/2023.v8i6.2395

  9. Al Amosh, H. (2025). Exchange rate volatility and ESG performance: An international empirical analysis. Journal of Corporate Accounting & Finance, 36(3), 14–28. https://doi.org/10.1002/jcaf.22774

    DOI: https://doi.org/10.1002/jcaf.22774

  10. Alghifary, M. S., Ekawaty, M., & Sumantri, V. D. S. (2023). The volatility of stock market in indonesia during COVID-19 crisis: Evidence from consumer goods industry. Journal of International Conference Proceedings, 6(1), 313–323. https://doi.org/10.32535/jicp.v6i1.2306

    DOI: https://doi.org/10.32535/jicp.v6i1.2306

  11. Ambarsari, R., Hartono, & Verlandes, Y. (2023). The influence of profitability and dividend policy on financial performance on share price (Study on Himbara banks listed on the Indonesia Stock Exchange) period 2018-2021. International Journal of Management and Business Economics, 1(3), 172–180. https://doi.org/10.58540/ijmebe.v1i3.396

    DOI: https://doi.org/10.58540/ijmebe.v1i3.396

  12. Anastasia, R. (2023). The impact of profitability, liquidity, and dividend policy on stock prices of mining companies listed on the Indonesia Stock Exchange in the period of 2017 to 2021. Journal of E-Business and Management Science, 1(2), 73–82. https://doi.org/10.61098/jems.v1i2.70

    DOI: https://doi.org/10.61098/jems.v1i2.70

  13. Arsyana, A. C. W., & Hwihanus, H. (2023). The influence of variables that can affect firm value in the banking industry on the Indonesia Stock Exchange. Jurnal Keuangan Dan Perbankan, 27(2), 272–287. https://doi.org/10.26905/jkdp.v27i2.11010

    DOI: https://doi.org/10.26905/jkdp.v27i2.11010

  14. Bashir Butt, M. S., & Mohd. Taib, H. (2021). Macroeconomic sensitivity and firm level volatility: The case of New York Stock Exchange. Business, Management and Economics Engineering, 19(02), 198–211. https://doi.org/10.3846/bmee.2021.14310

    DOI: https://doi.org/10.3846/bmee.2021.14310

  15. Bhowmik, R., & Wang, S. (2020). Stock market volatility and return analysis: A systematic literature review. Entropy, 22(5), 522. https://doi.org/10.3390/e22050522

    DOI: https://doi.org/10.3390/e22050522

  16. Bhunia, A., & Ganguly, S. (2020). An assessment of volatility and leverage effect before and during the period of Covid-19: A study of selected international stock markets. International Journal of Financial Services Management, 10(2), 113. https://doi.org/10.1504/IJFSM.2020.110224

    DOI: https://doi.org/10.1504/IJFSM.2020.110224

  17. Bhunia, A., & Yaman, D. (2019). Opportunity or crisis? Volatility and leverage effect in the world’s largest economies. International Journal of Accounting and Financial Reporting, 9(4), 1–18. https://doi.org/10.5296/ijafr.v9i4.15609

    DOI: https://doi.org/10.5296/ijafr.v9i4.15609

  18. Black, F. (1976). Studies of stock price volatility changes. Proceedings of the 1976 Meeting of the American Statistical Association, Business and Economic Statistics Section, 177–181.

  19. Blay, K. A. (2024). From portfolio selection to portfolio choice: Remembering Harry Markowitz. The Journal of Portfolio Management, 50(8), 45–58. https://doi.org/10.3905/jpm.2024.50.8.045

    DOI: https://doi.org/10.3905/jpm.2024.50.8.045

  20. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.org/10.1016/0304-4076(86)90063-1

    DOI: https://doi.org/10.1016/0304-4076(86)90063-1

  21. Bravo-Biosca, A., Criscuolo, C., & Menon, C. (2016). What drives the dynamics of business growth? Economic Policy, 31(88), 703–742. https://doi.org/10.1093/epolic/eiw013

    DOI: https://doi.org/10.1093/epolic/eiw013

  22. Bursa Efek Indonesia. (2025, January 24). Indeks saham syariah. Bursa Efek Indonesia. https://www.idx.co.id/

  23. Calvino, F., Criscuolo, C., Menon, C., & Secchi, A. (2018). Growth volatility and size: A firm-level study. Journal of Economic Dynamics and Control, 90, 390–407. https://doi.org/10.1016/j.jedc.2018.04.001

    DOI: https://doi.org/10.1016/j.jedc.2018.04.001

  24. Chaudhary, R., Bakhshi, P., & Gupta, H. (2020). Volatility in international stock markets: An empirical study during COVID-19. Journal of Risk and Financial Management, 13(9), 208. https://doi.org/10.3390/jrfm13090208

    DOI: https://doi.org/10.3390/jrfm13090208

  25. Chazi, A., Samet, A., & Azad, A. S. M. S. (2023). Volatility and correlation of Islamic and conventional indices during crises. Global Finance Journal, 55, 100800. https://doi.org/10.1016/j.gfj.2022.100800

    DOI: https://doi.org/10.1016/j.gfj.2022.100800

  26. Chen, B., Huang, J., Tang, L., Wu, J., & Xia, X. (2025). Heterogeneous effects of common volatility in energy commodity markets on the structure of inter-sectoral connectedness within the Chinese stock market. International Review of Financial Analysis, 102, 104128. https://doi.org/10.1016/j.irfa.2025.104128

    DOI: https://doi.org/10.1016/j.irfa.2025.104128

  27. Cho, C., Yang, J., & Jang, B. (2024). Heterogeneous macroeconomic factors’ effects on stocks across sizes, styles, and sectors in the South Korean market. PLOS ONE, 19(4), e0300393. https://doi.org/10.1371/journal.pone.0300393

    DOI: https://doi.org/10.1371/journal.pone.0300393

  28. Choi, J., & Richardson, M. (2016). The volatility of a firm’s assets and the leverage effect. Journal of Financial Economics, 121(2), 254–277. https://doi.org/10.1016/j.jfineco.2016.05.009

    DOI: https://doi.org/10.1016/j.jfineco.2016.05.009

  29. Connolly, R., & Stivers, C. (2006). Information content and other characteristics of the daily cross-sectional dispersion in stock returns. Journal of Empirical Finance, 13(1), 79–112. https://doi.org/10.1016/j.jempfin.2005.02.001

    DOI: https://doi.org/10.1016/j.jempfin.2005.02.001

  30. Delen, D., Kuzey, C., & Uyar, A. (2013). Measuring firm performance using financial ratios: A decision tree approach. Expert Systems with Applications, 40(10), 3970–3983.

    DOI: https://doi.org/10.1016/j.eswa.2013.01.012

  31. Demir, C. (2019). Macroeconomic determinants of stock market fluctuations: The case of BIST-100. Economies, 7(1), 8. https://doi.org/10.3390/economies7010008

    DOI: https://doi.org/10.3390/economies7010008

  32. Dewandaru, G., Rizvi, S. A. R., Masih, R., Masih, M., & Alhabshi, S. O. (2014). Stock market co-movements: Islamic versus conventional equity indices with multi-timescales analysis. Economic Systems, 38(4), 553–571. https://doi.org/10.1016/j.ecosys.2014.05.003

    DOI: https://doi.org/10.1016/j.ecosys.2014.05.003

  33. Dominika, I. & Yanti. (2019). Pengaruh kebijakan dividen, leverage, firm size, earning volatility, dan growth terhadap volatilitas harga saham [The effect of dividend policy, leverage, firm size, earning volatility, and growth on stock price volatility]. Jurnal Paradigma Akuntansi, 1(3), 589. https://doi.org/10.24912/jpa.v1i3.5607

    DOI: https://doi.org/10.24912/jpa.v1i3.5607

  34. Dong, M. C., Chen, C. W. S., & Asai, M. (2023). Bayesian non‐linear quantile effects on modelling realized kernels. International Journal of Finance & Economics, 28(1), 981–995. https://doi.org/10.1002/ijfe.2459

    DOI: https://doi.org/10.1002/ijfe.2459

  35. Ekanayake, W. Y. M. M. N., & Indrani, M. W. (2023). Financial performance and stock price: Evidence from listed manufacturing companies in Sri Lanka. International Journal of Accounting and Business Finance, 9(2), 99–122. https://doi.org/10.4038/ijabf.v9i2.144

    DOI: https://doi.org/10.4038/ijabf.v9i2.144

  36. Emenike, K. O., & Enock, O. N. (2020). How does news affect stock return volatility in a frontier market? Management and Labour Studies, 45(4), 433–443. https://doi.org/10.1177/0258042X20939019

    DOI: https://doi.org/10.1177/0258042X20939019

  37. Engle, R. (2001). GARCH 101: The use of ARCH/GARCH models in applied econometrics. Journal of Economic Perspectives, 15(4), 157–168. https://doi.org/10.1257/jep.15.4.157

    DOI: https://doi.org/10.1257/jep.15.4.157

  38. Fauziah, F., Munawwaroh, T., & Rislawati, N. (2023). The effect of capital structure and profitability on the value of pharmaceutical companies listed on the Indonesia Stock Exchange. MEC-J (Management and Economics Journal), 7(1), 91–100. https://doi.org/10.18860/mec-j.v7i1.17809

    DOI: https://doi.org/10.18860/mec-j.v7i1.17809

  39. Fei, T., Liu, X., & Wen, C. (2019). Cross-sectional return dispersion and volatility prediction. Pacific-Basin Finance Journal, 58, 101218. https://doi.org/10.1016/j.pacfin.2019.101218

    DOI: https://doi.org/10.1016/j.pacfin.2019.101218

  40. Fernando, J. (2025, July 2). Current ratio explained with formula and examples. Investopedia. https://www.investopedia.com/terms/c/currentratio.asp

  41. Furhmann, R. (2024, December 5). Return on Equity (ROE) vs. Return on Assets (ROA): What’s the difference? Investopedia. https://www.investopedia.com/ask/answers/070914/what-are-main-differences-between-return-equity-roe-and-return-assets-roa.asp

  42. Goenawan, Y. A. & Subandriyo. (2022). Effect of profitability and solvency on stock prices with dividend policy as an intervening variable. APTISI Transactions on Management (ATM), 7(2), 143–151. https://doi.org/10.33050/atm.v7i2.1894

    DOI: https://doi.org/10.33050/atm.v7i2.1894

  43. Guo, W.-C., Wang, F. Y., & Wu, H.-M. (2011). Financial leverage and market volatility with diverse beliefs. Economic Theory, 47(2–3), 337–364. https://doi.org/10.1007/s00199-010-0548-8

    DOI: https://doi.org/10.1007/s00199-010-0548-8

  44. Handayani, H., Muharam, H., Mawardi, W., & Robiyanto, R. (2018). Determinants of the stock price volatility in the Indonesian manufacturing sector. International Research Journal of Business Studies, 11(3), 179–193. https://doi.org/10.21632/irjbs.11.3.179-193

    DOI: https://doi.org/10.21632/irjbs.11.3.179-193

  45. Hargrave, M. (2025, May 19). Return on Assets (ROA) ratio and profitability. Investopedia. https://www.investopedia.com/terms/r/returnonassets.asp

  46. Harjadi, D., Komarudin*, M. N., Fitriani, L. K., & Indriarto, E. D. (2023). Analysis of fundamental factors affecting stock prices. JURISMA : Jurnal Riset Bisnis & Manajemen, 13(1), 13–24. https://doi.org/10.34010/jurisma.v13i1.9440

    DOI: https://doi.org/10.34010/jurisma.v13i1.9440

  47. Hasan, Md. B., Hassan, M. K., Rashid, Md. M., & Alhenawi, Y. (2021). Are safe haven assets really safe during the 2008 global financial crisis and COVID-19 pandemic? Global Finance Journal, 50, 100668. https://doi.org/10.1016/j.gfj.2021.100668

    DOI: https://doi.org/10.1016/j.gfj.2021.100668

  48. Hossain, M. S., & Abedin, Md. T. (2017). Socio-economy and stock market volatility. Journal of Economic & Financial Studies, 5(4), 1–11. https://doi.org/10.18533/jefs.v5i04.292

    DOI: https://doi.org/10.18533/jefs.v5i04.292

  49. Ibrahim, M. H. (2015). Issues in Islamic banking and finance: Islamic banks, Shari’ah-compliant investment and sukuk. Pacific-Basin Finance Journal, 34, 185–191. https://doi.org/10.1016/j.pacfin.2015.06.002

    DOI: https://doi.org/10.1016/j.pacfin.2015.06.002

  50. Istiak, K. (2022). Broker-dealer leverage volatility and the US stock prices. Studies in Economics and Finance, 39(1), 1–19. https://doi.org/10.1108/SEF-10-2020-0440

    DOI: https://doi.org/10.1108/SEF-10-2020-0440

  51. Jiang, X. (2023). The impact of international oil price fluctuations on Chinas stock performance of clean energy industry: Under the Russia-Ukraine conflict. Advances in Economics, Management and Political Sciences, 19(1), 218–227. https://doi.org/10.54254/2754-1169/19/20230140

    DOI: https://doi.org/10.54254/2754-1169/19/20230140

  52. Jihadi, M., Vilantika, E., Widagdo, B., Sholichah, F., & Bachtiar, Y. (2021). Islamic social reporting on value of the firm: Evidence from Indonesia Sharia Stock Index. Cogent Business & Management, 8(1), 1920116. https://doi.org/10.1080/23311975.2021.1920116

    DOI: https://doi.org/10.1080/23311975.2021.1920116

  53. Kazak, H., Saiti, B., Kılıç, C., Akcan, A. T., & Karataş, A. R. (2025). Impact of global risk factors on the Islamic stock market: New evidence from wavelet analysis. Computational Economics, 65(6), 3573–3604. https://doi.org/10.1007/s10614-024-10665-7

    DOI: https://doi.org/10.1007/s10614-024-10665-7

  54. Kearney, C., & Daly, K. (1998). The causes of stock market volatility in Australia. Applied Financial Economics, 8(6), 597–605. https://doi.org/10.1080/096031098332637

    DOI: https://doi.org/10.1080/096031098332637

  55. Khan, F., Rehman, S.-U., Khan, H., & Xu, T. (2016). Pricing of risk and volatility dynamics on an emerging stock market: Evidence from both aggregate and disaggregate data. Economic Research-Ekonomska Istraživanja, 29(1), 799–815. https://doi.org/10.1080/1331677X.2016.1197554

    DOI: https://doi.org/10.1080/1331677X.2016.1197554

  56. Koutoulas, G., & Kryzanowski, L. (1996). Macrofactor conditional volatilities, time‐varying risk premia and stock return behavior. Financial Review, 31(1), 169–195. https://doi.org/10.1111/j.1540-6288.1996.tb00869.x

    DOI: https://doi.org/10.1111/j.1540-6288.1996.tb00869.x

  57. Kurniati, S. (2019). Stock returns and financial performance as mediation variables in the influence of good corporate governance on corporate value. Corporate Governance: The International Journal of Business in Society, 19(6), 1289–1309. https://doi.org/10.1108/CG-10-2018-0308

    DOI: https://doi.org/10.1108/CG-10-2018-0308

  58. Liao, C., & Ma, T. (2024). From fundamental signals to stock volatility: A machine learning approach. Pacific-Basin Finance Journal, 84, 102283. https://doi.org/10.1016/j.pacfin.2024.102283

    DOI: https://doi.org/10.1016/j.pacfin.2024.102283

  59. Ligocká, M., & Stavárek, D. (2019). The relationship between financial ratios and the stock prices of selected European food companies listed on stock exchanges. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 67(1), 299–307. https://doi.org/10.11118/actaun201967010299

    DOI: https://doi.org/10.11118/actaun201967010299

  60. Lim, D. T., Goh, K. W., & Lee, L. H. (2023). A new class of Shariah-compliant portfolio optimization model: Diversification analysis. AIMS Mathematics, 8(9), 20933–20965. https://doi.org/10.3934/math.20231066

    DOI: https://doi.org/10.3934/math.20231066

  61. Lin, J. (2017). Stock exchanges comparison between Mainland China and H.K. based on the SVL model. Open Journal of Statistics, 7(3), 383–393. https://doi.org/10.4236/ojs.2017.73027

    DOI: https://doi.org/10.4236/ojs.2017.73027

  62. Litimi, H. (2017). Herd behavior in the French stock market. Review of Accounting and Finance, 16(4), 497–515. https://doi.org/10.1108/RAF-11-2016-0188

    DOI: https://doi.org/10.1108/RAF-11-2016-0188

  63. Liu, B., Xiao, W., & Zhu, X. (2023). How does inter-industry spillover improve the performance of volatility forecasting? The North American Journal of Economics and Finance, 65, 101878. https://doi.org/10.1016/j.najef.2023.101878

    DOI: https://doi.org/10.1016/j.najef.2023.101878

  64. Lockwood, E. (2015). Predicting the unpredictable: Value-at-risk, performativity, and the politics of financial uncertainty. Review of International Political Economy, 22(4), 719–756. https://doi.org/10.1080/09692290.2014.957233

    DOI: https://doi.org/10.1080/09692290.2014.957233

  65. Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91. https://doi.org/10.1111/j.1540-6261.1952.tb01525.x

    DOI: https://doi.org/10.1111/j.1540-6261.1952.tb01525.x

  66. Medhioub, I., & Chaffai, M. (2019). Islamic finance and herding behavior theory: A sectoral analysis for Gulf Islamic Stock Market. International Journal of Financial Studies, 7(4), 65. https://doi.org/10.3390/ijfs7040065

    DOI: https://doi.org/10.3390/ijfs7040065

  67. Muguto, H. T., Muguto, L., Bhayat, A., Ncalane, H., Jack, K. J., Abdullah, S., Nkosi, T. S., & Muzindutsi, P.-F. (2022). The impact of investor sentiment on sectoral returns and volatility: Evidence from the Johannesburg Stock Exchange. Cogent Economics & Finance, 10(1), 2158007. https://doi.org/10.1080/23322039.2022.2158007

    DOI: https://doi.org/10.1080/23322039.2022.2158007

  68. Musa, T. B. (2020). Company fundamentals and stock price movements: The role of crude oil prices – Evidence from Nigerian Stock Exchange (NSE). Journal of Research in Emerging Markets, 3(1), 1–13. https://doi.org/10.30585/jrems.v3i1.532

    DOI: https://doi.org/10.30585/jrems.v3i1.532

  69. Nguyen, T. H., Nguyen, H. A., Tran, Q. C., & Le, Q. L. (2020). Dividend policy and share price volatility: Empirical evidence from Vietnam. Accounting, 6, 67–78. https://doi.org/10.5267/j.ac.2019.12.006

    DOI: https://doi.org/10.5267/j.ac.2019.12.006

  70. Nienhaus, V. (2011). Islamic finance ethics and Shari’ah law in the aftermath of the crisis. Ethical Perspectives, 18(4), 591–623. https://doi.org/10.2143/EP.18.4.2141849

  71. Novanto, J., & Davianti, A. (2022). Factors affecting stock returns in detected and non-detected earnings manipulation cases. Jurnal Akuntansi, 12(1), 37–50. https://doi.org/10.33369/j.akuntansi.12.1.37-50

    DOI: https://doi.org/10.33369/j.akuntansi.12.1.37-50

  72. Novia, N., Adrianto, F., & Geraldina, I. (2024). The influence of environmental, social, and governance performance disclosure on stock performance. Journal of World Science, 3(1), 69–78. https://doi.org/10.58344/jws.v3i1.529

    DOI: https://doi.org/10.58344/jws.v3i1.529

  73. Novianti, W. (2021). The effects of inflation, profitability, and sales growth on stock prices in retail trade sub-sector companies (2014-2019 period). Proceeding of International Conference on Business, Economics, Social Sciences, and Humanities, 2, 302–306. https://doi.org/10.34010/icobest.v2i.287

    DOI: https://doi.org/10.34010/icobest.v2i.287

  74. Nukala, V. B., & Prasada Rao, S. S. (2021). Role of debt-to-equity ratio in project investment valuation, assessing risk and return in capital markets. Future Business Journal, 7(1), Article Number 13. https://doi.org/10.1186/s43093-021-00058-9

    DOI: https://doi.org/10.1186/s43093-021-00058-9

  75. Odendo, M. A., Akims, M. A., Nyachae, S. M., & Mbugua, L. (2023). Quick ratio and financial performance of agricultural firms listed at the Nairobi Securities Exchange, Kenya. Journal of Economics, 7(1), 64–76. https://doi.org/10.53819/81018102t4242

  76. Puteri, A. I., & Wahyuni, E. (2023). The impact of capital structure and profitability on stock prices in the property sector companies and real estate listed on the Indonesia Stock Exchange. ISLAMICONOMIC: Jurnal Ekonomi Islam, 14(1), 97–122. https://doi.org/10.32678/ijei.v14i1.411

    DOI: https://doi.org/10.32678/ijei.v14i1.411

  77. Putri, A. L., & Paramita, R. A. S. (2024). The influence of microeconomic factors and macroeconomic factors on stock price volatility in KOMPAS 100 Index companies listed on the Indonesia Stock Exchange for the period 2019-2022. Journal of Business and Management Review, 5(6), 478–497. https://doi.org/10.47153/jbmr.v5i6.984

    DOI: https://doi.org/10.47153/jbmr.v5i6.984

  78. Rangga, A., & Ekadjaja, A. (2023). How asset growth, earnings volatility, firm size, and leverage affect stock price volatility. International Journal of Application on Economics and Business, 1(4), 1889–1900. https://doi.org/10.24912/ijaeb.v1i4.1889-1900

    DOI: https://doi.org/10.24912/ijaeb.v1i4.1889-1900

  79. Ross, S. A. (1976). The arbitrage theory of capital asset pricing. Journal of Economic Theory, 13(3), 341–360. https://doi.org/10.1016/0022-0531(76)90046-6

    DOI: https://doi.org/10.1016/0022-0531(76)90046-6

  80. Rubinstein, M. (2002). Markowitz’s “portfolio selection”: A fifty‐year retrospective. The Journal of Finance, 57(3), 1041–1045. https://doi.org/10.1111/1540-6261.00453

    DOI: https://doi.org/10.1111/1540-6261.00453

  81. Rutkowska-Ziarko, A. (2023). Downside risk and profitability ratios: The case of the New York Stock Exchange. The North American Journal of Economics and Finance, 68, 101993. https://doi.org/10.1016/j.najef.2023.101993

    DOI: https://doi.org/10.1016/j.najef.2023.101993

  82. Sabila, I., Rahmawati, Dwi Amperawati, E., & Corina Joseph. (2023). Reducing return volatility: The role of earnings quality and corporate reputation. Riset Akuntansi Dan Keuangan Indonesia, 9(1), 76–86. https://doi.org/10.23917/reaksi.v9i1.4653

    DOI: https://doi.org/10.23917/reaksi.v9i1.4653

  83. Sadorsky, P. (2003). The macroeconomic determinants of technology stock price volatility. Review of Financial Economics, 12(2), 191–205. https://doi.org/10.1016/S1058-3300(02)00071-X

    DOI: https://doi.org/10.1016/S1058-3300(02)00071-X

  84. Samarawickrama, I. D. W., & Pallegedara, A. (2023). Sri Lankan stock market volatility analysis: An ARMA- GARCH approach. Sri Lankan Journal of Business Economics, 12(1), 60–78. https://doi.org/10.31357/sljbe.v12.6442

    DOI: https://doi.org/10.31357/sljbe.v12.6442

  85. Sandwick, J. A., & Collazzo, P. (2021). Modern portfolio theory with Sharia: A comparative analysis. Journal of Asset Management, 22(1), 30–42. https://doi.org/10.1057/s41260-020-00187-w

    DOI: https://doi.org/10.1057/s41260-020-00187-w

  86. Shahzad, S. J. H., Aloui, C., & Jammazi, R. (2020). On the interplay between US sectoral CDS, stock and VIX indices: Fresh insights from wavelet approaches. Finance Research Letters, 33, 101208. https://doi.org/10.1016/j.frl.2019.06.006

    DOI: https://doi.org/10.1016/j.frl.2019.06.006

  87. Sianturi, R. S. (2023). The effect of profitability on stock prices with capital structure as a moderating variable in manufacturing sub-sector companies for the period 2019-2022. INFA International Journal of The Newest Finance and Accounting, 1(2), 64–73. https://doi.org/10.59693/infa.v1i2.20

    DOI: https://doi.org/10.59693/infa.v1i2.20

  88. Siddique, M., Ali, K., & Anwar, S. (2020). Effect of dividend policy decision on share price volatility of modaraba companies listed in Pakistan Stock Exchange. JISR Management and Social Sciences & Economics, 18(2), 167–179. https://doi.org/10.31384/jisrmsse/2021.18.2.11

    DOI: https://doi.org/10.31384/jisrmsse/2021.18.2.11

  89. Spiropoulos, H., & Zhao, R. (2023). Stock liquidity, cash flow sensitivity and the value of cash. International Review of Economics & Finance, 88, 1565–1581. https://doi.org/10.1016/j.iref.2023.07.035

    DOI: https://doi.org/10.1016/j.iref.2023.07.035

  90. Suleman, M. T., McIver, R., & Kang, S. H. (2021). Asymmetric volatility connectedness between Islamic stock and commodity markets. Global Finance Journal, 49, 100653. https://doi.org/10.1016/j.gfj.2021.100653

    DOI: https://doi.org/10.1016/j.gfj.2021.100653

  91. Suleman, M. T. S., Kapar, B., & Rana, F. (2024). Infectious disease and asymmetric industrial volatility. Applied Finance Letters, 13, 77–97. https://doi.org/10.24135/afl.v13i.694

    DOI: https://doi.org/10.24135/afl.v13i.694

  92. Suoth, C. M., & Rumengan, F. C. T. (2023). The relationship between oil prices and energy sector stocks in the global recession issue. The Contrarian : Finance, Accounting, and Business Research, 2(2), 36–40. https://doi.org/10.58784/cfabr.25

    DOI: https://doi.org/10.58784/cfabr.25

  93. Szczygielski, J. J. (2012). An ARCH/GARCH arbitrage pricing theory approach to modelling the return generating process of South African stock returns [Hochschulschrift]. University of the Witwatersrand, Johannesburg: WITS Institutional Repository on DSpace (WIReDSpace). https://africanstudieslibrary.org/en/discovery/record/base-ftunivwitwaters-oai-wiredspace-wits-ac-za-10539-13035/

  94. Szczygielski, J. J., & Chipeta, C. (2023). Properties of returns and variance and the implications for time series modelling: Evidence from South Africa. Modern Finance, 1(1), 35–55. https://doi.org/10.61351/mf.v1i1.8

    DOI: https://doi.org/10.61351/mf.v1i1.8

  95. Thampanya, N., Wu, J., Nasir, M. A., & Liu, J. (2020). Fundamental and behavioural determinants of stock return volatility in ASEAN-5 countries. Journal of International Financial Markets, Institutions and Money, 65, 101193. https://doi.org/10.1016/j.intfin.2020.101193

    DOI: https://doi.org/10.1016/j.intfin.2020.101193

  96. Ulfiani, N., Simon, Z. Z., & Nasution, A. H. (2024). What factors affecting Indonesian mining companies’ stock price before and during the COVID-19 pandemic. Jurnal Orientasi Bisnis Dan Entrepreneurship (JOBS), 5(1), 26–40. https://doi.org/10.33476/jobs.v5i1.4172

    DOI: https://doi.org/10.33476/jobs.v5i1.4172

  97. Umar, Z., Yousaf, I., Gubareva, M., & Vo, X. V. (2022). Spillover and risk transmission between the term structure of the US interest rates and Islamic equities. Pacific-Basin Finance Journal, 72, 101712. https://doi.org/10.1016/j.pacfin.2022.101712

    DOI: https://doi.org/10.1016/j.pacfin.2022.101712

  98. Utama, A. N. B., & Suryani, A. I. (2023). Stock price with profitability effect (Case study: Food and beverage sub-sector company on Indonesia Stock Exchange). Journal of Economics, Finance and Management Studies, 6(11), 5352–5356. https://doi.org/10.47191/jefms/v6-i11-10

  99. Welch, I. (2011). Two common problems in capital structure research: The financial‐debt‐to‐asset ratio and issuing activity versus leverage changes. International Review of Finance, 11(1), 1–17. https://doi.org/10.1111/j.1468-2443.2010.01125.x

    DOI: https://doi.org/10.1111/j.1468-2443.2010.01125.x

  100. Yadav, I. S., Pahi, D., & Gangakhedkar, R. (2022). The nexus between firm size, growth and profitability: New panel data evidence from Asia–Pacific markets. European Journal of Management and Business Economics, 31(1), 115–140. https://doi.org/10.1108/EJMBE-03-2021-0077

    DOI: https://doi.org/10.1108/EJMBE-03-2021-0077

  101. Yelamanchili, R. K. (2020). Modeling stock market monthly returns volatility using GARCH models under different distributions. International Journal of Accounting & Finance Review, 5(1), 42–50. https://doi.org/10.46281/ijafr.v5i1.425

    DOI: https://doi.org/10.46281/ijafr.v5i1.425

  102. Zarafat, H., Liebhardt, S., & Eratalay, M. H. (2022). Do ESG ratings reduce the asymmetry behavior in volatility? Journal of Risk and Financial Management, 15(8), 320. https://doi.org/10.3390/jrfm15080320

    DOI: https://doi.org/10.3390/jrfm15080320

  103. Zhang, X. (2023). The impact of executive compensation stickiness on stock price crash risk. Advances in Economics, Management and Political Sciences, 58(1), 72–95. https://doi.org/10.54254/2754-1169/58/20230828

    DOI: https://doi.org/10.54254/2754-1169/58/20230828

  104. Zhofiroh, B. A., & Arifin, Z. (2023). The effect of profitability, liquidity, activity, and market value ratio on stock prices in the manufacturing industry sector listed on the Indonesia Stock Exchange. Journal of Economics, Management and Trade, 29(10), 1–11. https://doi.org/10.9734/jemt/2023/v29i101136

    DOI: https://doi.org/10.9734/jemt/2023/v29i101136
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