Comparison of Market Efficiency and Microeconomic Volatility Transmission between Islamic and Conventional Stock Markets: Empirical Evidence from the JII and the IHSG
DOI:
https://doi.org/10.61730/00r5eq44Keywords:
Conventional Stocks, Market Efficiency, Sharia Stocks, Volatility TransmissionAbstract
Purpose: This study aims to analyze market efficiency and the transmission of micro-volatility between the Jakarta Composite Index (IHSG) and the Jakarta Islamic Index (JII) using high-frequency data from September 22 to October 20, 2025. The primary objective is to evaluate the volatility of returns, co-movement, microstructure volatility clustering, and the buffering effect of Sharia-compliant indices. Methods: The study uses logarithmic continuous returns to assess return volatility and co-movement. Descriptive statistics are employed to examine market fluctuations, while the volatility clustering effect and rapid shock transmission between the two indices are analyzed. Pre-test and post-test evaluations, along with observational analysis, are used to examine the relationship and behavior of these indices during the study period. Results: The findings reveal that both IHSG and JII exhibit significant short-term fluctuations, indicative of typical micro-volatility in emerging markets. However, JII shows relatively lower volatility and fewer extreme negative returns, suggesting that Sharia screening provides a stabilizing effect on the market. The study also identifies a strong co-movement between the two indices, highlighting high short-term integration despite brief divergences due to differences in index structure and liquidity profiles. Additionally, the analysis confirms volatility clustering, with calm periods followed by sharp movements, and rapid shock transmission between the indices.
References
Aït-Sahalia, Y., & Mancini, L. (2008). Out of sample forecasts of quadratic variation. Journal of Econometrics, 147(1), 17–33. https://doi.org/10.1016/j.jeconom.2008.09.015 Princeton Collaborate+2IDEAS/RePEc+2
Al-Khazali, O., Lean, H. H., & Samet, A. (2014). Do Islamic stock indexes outperform conventional stock indexes? A stochastic dominance approach. Pacific-Basin Finance Journal, 28, 29–46. https://doi.org/10.1016/j.pacfin.2013.09.003
Andersen, T. G., & Bollerslev, T. (1998). Deutsche mark–dollar volatility: Intraday activity patterns, macroeconomic announcements, and longer run dependencies. Journal of Finance, 53(1), 219–265.
Andersen, T. G., Bollerslev, T., Diebold, F. X., & Labys, P. (2001). The distribution of realized exchange rate volatility. Journal of the American Statistical Association, 96(453), 42–55.
Barndorff-Nielsen, O. E., Hansen, P. R., Lunde, A., & Shephard, N. (2008). Designing realized kernels to measure the ex post variation of equity prices in the presence of noise. Econometrica, 76(6), 1481–1536. https://doi.org/10.3982/ECTA6495
Barndorff-Nielsen, O. E., & Shephard, N. (2004). Econometric analysis of realized volatility and its use in estimating stochastic volatility models. Journal of the Royal Statistical Society: Series B, 64(2), 253–280.
Brownlees, C. T., & Gallo, G. M. (2006). Financial econometric analysis at ultra-high frequency: Data handling concerns. Computational Statistics & Data Analysis, 51(4), 2232–2245.
Dacorogna, M. M., Gençay, R., Müller, U. A., Olsen, R. B., & Pictet, O. V. (2001). An introduction to high-frequency finance. Academic Press.
Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57–66.
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2), 383–417.
Girard, E., & Hassan, M. K. (2008). Is there a cost to faith-based investing? Evidence from FTSE Islamic indices. Journal of Investing, 17(4), 112–121.
Hasbrouck, J. (1991). Measuring the information content of stock trades. Journal of Finance, 46(1), 179–207.
Hasbrouck, J. (2007). Empirical market microstructure: The institutions, economics, and econometrics of securities trading. Oxford University Press.
Hassan, M. K., & Aliyu, S. (2018). A contemporary survey of Islamic finance literature. Journal of Financial Stability, 34, 12–43.
Hurst, H. E. (1951). Long-term storage capacity of reservoirs. Transactions of the American Society of Civil Engineers, 116, 770–799.
Kantelhardt, J. W., et al. (2002). Multifractal detrended fluctuation analysis of nonstationary time series. Physica A, 316(1–4), 87–114.
Kayed, R. N., & Hassan, M. K. (2011). The global financial crisis and Islamic finance. Thunderbird International Business Review, 53(5), 551–564.
Lim, K.-P., & Brooks, R. (2011). The evolution of stock market efficiency over time: A survey of the empirical literature. Journal of Economic Surveys, 25(1), 69–108.
Lo, A. W., & MacKinlay, A. C. (1988). Stock market prices do not follow random walks: Evidence from a simple specification test. Review of Financial Studies, 1(1), 41–66.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Oktavera Rizki

This work is licensed under a Creative Commons Attribution 4.0 International License.





















