Comparative Analysis of Efficient Market for Sharia and Conventional Stocks in ASEAN countries
Abstract
This study analyzes and compares the weak forms of Islamic and conventional stock market efficiency in ASEAN countries. The data were taken from BEI Syariah (JKISSI), Jakarta Stock Exchange (JKSE), FTSE Bursa Malaysia EMAS Syariah (FTFBMS), FTSE Malaysia KLCI (KLSE), SET Index (SETI), and FTSE SET Syariah (FTFSTSH) from January 2015 to August 2021. To avoid analytical bias due to the COVID-19 Pandemic, the data is divided into two periods, January 2015 to December 2019 and January 2020 to August 2021. The contribution of this research is to compare the market efficiency of the weak form of Islamic and conventional stocks over two periods with different methods, namely Variance Ratio Test, Run Test, ARIMA Model, and Recurrent Neural Network (RNN). This study shows that Islamic stocks in these countries are more efficient from January 2015 to December 2019. On the other hand, conventional stocks are more efficient from January 2020 to August 2021 (during the COVID-19 Pandemic).
Abstrak
Penelitian ini menganalisa dan membandingkan bentuk lemah dari efisiensi pasar saham syariah dan konvensional di negara-negara ASEAN. Data berasal dari BEI Syariah (JKISSI), Bursa Efek Jakarta (JKSE), FTSE Bursa Malaysia EMAS Syariah (FTFBMS), FTSE Malaysia KLCI (KLSE), SET Index (SETI), dan FTSE SET Syariah (FTFSTSH) dari Januari 2015 hingga Agustus 2021. Untuk menghindari bias analisa akibat pandemi COVID-19, data dibagi menjadi dua periode, Januari 2015 hingga Desember 2019 dan Januari 2020 hingga Agustus 2021. Penelitian ini membandingkan bentuk lemah dari efisiensi pasar saham syariah dan konvensional selama dua periode waktu dengan metode berbeda, yaitu Variance Ratio Test, Run Test, Model ARIMA, dan Recurrent Neural Network (RNN). Studi menunjukkan bahwa Saham Syariah di negara-negara tersebut lebih efisien pada periode Januari 2015 hingga Desember 2019. Di sisi lain, saham konvensional lebih efisien pada periode Januari 2020 hingga Agustus 2021 (selama pandemi COVID-19).
Keywords
References
Ackert, L. F., Church, B. K., & Deaves, R. (2003). Emotion and Financial Markets. Federal Reserve Bank of Atlanta Economic Review, 10.
Agustin, I. N. (2019). Testing Weak Form of Stock Market Efficiency at The Indonesia Sharia Stock Index. Muqtasid: Jurnal Ekonomi Dan Perbankan Syariah, 10(1), 17. https://doi.org/10.18326/muqtasid.v10i1.17-29
Al-Khazali, O., & Mirzaei, A. (2017). Stock market anomalies, market efficiency and the adaptive market hypothesis: Evidence from Islamic stock indices. Journal of International Financial Markets,
Institutions and Money, 51, 190–208. https://doi.org/10.1016/j.intfin.2017.10.001
Anas, E., & Mounira, B. A. (2009). Ethical Investment and the Social Responsibilities of the Islamic Banks. International Business Research, 2(2), p123. https://doi.org/10.5539/ibr.v2n2p123
Andrianto, Y., & Mirza, A. R. (2016). A Testing of Efficient Markets Hypothesis in Indonesia Stock Market. Procedia - Social and Behavioral Sciences, 219, 99–103. https://doi.org/10.1016/j.sbspro.2016.04.048
CAMBA, A. C. Jr., & CAMBA, A. L. (2020). The Existence of Random Walk in the Philippine Stock Market: Evidence from Unit Root and Variance-Ratio Tests. The Journal of Asian Finance, Economics and Business, 7(10), 523–530. https://doi.org/10.13106/JAFEB.2020.VOL7.NO10.523
Dautel, A. J., Härdle, W. K., Lessman, S., & Seow, H. (2020). Forex exchange rate forecasting using deep recurrent neural networks. Digital Finance. https://doi.org/10.1007/s42521-020-00019-x
Dupernex, S. (2007). Why Might Share Prices Follow a Random Walk? Student Economic Review, 21.
Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of
Finance, 25(2), 383. https://doi.org/10.2307/2325486
Greff, K., Srivastava, R. K., Koutn´ık, J., Steunebrink, B. R., & Schmidhuber, J. (2017). LSTM: A Search Space Odyssey. TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS.
Härdle, W. K., & Simar, L. (2014). Applied Multivariate Statistical Analysis (4th ed.). Springer US.
Haykin, S. (2009). Neural networks and learning machines (3rd ed.). Pearson Education, Inc.
Jawadi, F., Jawadi, N., & Idi Cheffou, A. (2019). A statistical analysis of uncertainty for conventional and ethical stock indexes. The Quarterly Review of Economics and Finance, 74, 9–17. https://doi.org/10.1016/j.qref.2018.03.002
Kartika, A. P., Jubaedah, J., & Yetti, F. (2017). ANALISIS EFFICIENT MARKET HYPOTHESIS PADA BURSA EFEK INDONESIA TERHADAP PASAR SAHAM ASEAN. SAR (Soedirman Accounting Review) : Journal of Accounting and Business, 2(2), 128. https://doi.org/10.20884/1.sar.2017.2.2.588
Lo, A. W., & MacKinlay, A. C. (1988). Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specific. The Review of Financial Studies, 1(1), 27.
Mensi, W., Tiwari, A. K., & Yoon, S.-M. (2017). Global financial crisis and weak-form efficiency of Islamic sectoral stock markets: An MF-DFA analysis. Physica A: Statistical Mechanics and Its Applications, 471, 135–146. https://doi.org/10.1016/j.physa.2016.12.034
Narayan, P. K., Liu, R., & Westerlund, J. (2016). A GARCH model for testing market efficiency. Journal of International Financial Markets Institutions and Money. http://dx.doi.org/10.1016/j.intfin.2015.12.008
Nghia, P. T., & Blokhina, T. K. (2020). IMPROVING THE EFFICIENCY OF THE VIETNAM STOCK MARKET. 11(1), 11.
Paltrinieri, A., Josanco, F., Kappen, J., Mitchell, M., & Chawla, K. (2018). Islamic, socially responsible, and conventional market comovements: Evidence from stock indices. Thunderbird International Business Review, 61.
Petnehazi, G. (2019). Recurrent Neural Networks for Time Series Forecasting. ArXiv:1901.00069.
Phanrattinon, N., Lenbury, Y., Misiran, M., & Phewchean, N. (2020). Weak form market efficiency: A case study of Asia-Pacific markets. International Journal of Circuits, Systems and Signal Processing, 14, 807–814. https://doi.org/10.46300/9106.2020.14.104
Rahimah, E., Maipita, I., & Ayu, S. F. (2020). Analysis Weak Form Efficiency in Indonesia Stock Exchange Period 2011-2016. Proceedings of the 1st Unimed International Conference on Economics Education and Social Science. https://doi.org/10.5220/0009500704420446
Saleem, A., & Ashfaque, M. (2020). AN ANALYSIS OF PROFITABILITY DETERMINANTS OF ISLAMIC BANKS: EMPIRICAL STUDY OF MALAYSIA VS PAKISTAN. International Journal of Business Reflections, 1-ISS 2, 24.
Semuel, H., & Basana, S. R. (2017). Analisa Efisiensi Pasar Modal Bentuk Lemah Melalui Evaluasi Pergerakan Harga Saham di Bursa Efek Indonesia. 3(2), 14.
Senthilnathan, S. (2014). The Efficient Market: Rambling Evidences in Asia and Pasific. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2517047
Shaik, M., & Maheswaran, S. (2017). Market Efficiency of ASEAN Stock Markets. Asian Economic and Financial Review, 7(2), 109–122. https://doi.org/10.18488/journal.aefr/2017.7.2/102.2.109.122
Singh, S., & Kumar, L. (2018). Market Efficiency in Malaysia: An Empirical Study of Random Walk Hypothesis of Kuala Lumpur Stock Market (Composite Index) Bursa Malaysia. SSRN Electronic Journal.
Soon, L. P., & Abdul-Rahim, R. (2016). Efficiency of Malaysian stock market: A revisit based on analysts’ recommendations. 2, 14.
W. Allen, W., & Harry V., R. (1956). Statistics: A New Approach. The Free Press.
Yaya, O. S. (2021). Market Efficiency of Asian Stocks: Evidence based on Narayan-Liu-Westerlund GARCH-based Unit root test. 30.
DOI: 10.15408/aiq.v14i1.25025
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