Efficient Market of Indonesia Shariah Index during Covid
Abstract
ABSTRACT. The capital market is a place to gain capital at there. There is efficient market that past stock price reflects the current recent price. Unfortunately, the stock price is so volatile and it is difficult to predict it. The concept of random walk also occurs in stock price or stock index. During the covid, the stock price decrease and it is so interesting to predict the stock whether follow the random walk or not. In order to forecast stock price, the investor should know the price of the stock. They can get benefit from the difference of the stock. The adf and KPSS test show the Jakarta shariah index does not follow random walk, meaning the index can be forecast. The result of the test shows the best model is ARIMA (5,1,2). Arima is a best forecasting method that can predict stock price. The Model has passed Ljung Box, ACF Graphics and also PACF Graphics.
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Abdelzaher, M. A. (2021). Study the Efficiency Hypothesis in the Egyptian Stock Market. International Journal of Economics and Financial Issues, 11(1), 18–25. https://doi.org/10.32479/ijefi.10634
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
Altin, H. (2015). Efficient market hypothesis, Abnormal Return and Election Period. European Scientific Journal, 11(9783319661032), 101–110. https://doi.org/10.1007/978-3-319-66104-9_9
Ashraf, S., & Deo, M. (2015). Non-Linear Dependence of Indian Shariah Market. Journal of Islamic Economics Banking and Finance, 10(2), 88–101. https://doi.org/10.12816/0025171
Bakar, N. A., Rosbi, S., & Uzaki, K. (2018). View of Evaluating Forecasting Method Using Autoregressive Integrated Moving Average (ARIMA) Approach for Shariah Compliant Oil and Gas Sector in Malaysia.pdf. Joural of Mathrmatics and Computing Science, 3(1), 19–33.
Faisal, A., & Yulianto, K. I. (2023). Analisis random walk saham ANTM di bursa efek Indonesia selama covid-19. 29(1), 1–8.
Hafasnudin. (2008). Rancang Bangun Pasar Finansial Syariah. Jurnal Telaah & Riset Akuntansi, 1(2), 156–162.
Handini, S., & Astawinetu, E. D. (2020). Teori Portfolio dan Pasar Modal Indonesia (D. Setiawan (ed.)). Scopindo Media Pustaka.
Hartono, J. (2022). Portfolio dan Analisis Investasi (Kedua). Penerbit ANDI.
Hassani, H., Silva, E. S., Gupta, R., & Segnon, M. K. (2015). Forecasting the price of gold. Applied Economics, 47(39), 4141–4152. https://doi.org/10.1080/00036846.2015.1026580
Hayati, F. N., & Sutijo, B. (2016). Peramalan Harga Saham Jakarta Islamic Index Menggunakan Metode Vector Autoregressive. Joernal Sains Dan Seni ITS, 5(2), 408–413.
Hyndman, R. J., & Khandakar, Y. (2008). Automatic time series forecasting: The forecast package for R. Journal of Statistical Software, 27(3), 1–22. https://doi.org/10.18637/jss.v027.i03
Khan, A., Khan, M. Y., Khan, A. Q., Khan, M. J., & Rahman, Z. U. (2021). Testing the weak form of efficient market hypothesis for socially responsible and Shariah indexes in the USA. Journal of Islamic Accounting and Business Research, 12(5), 625–645. https://doi.org/10.1108/JIABR-02-2020-0055
Malkiel, B. G. (2003). The Efficient Market Hypothesis and Its Critics. Journal of Exonomics Perspectives, 17(1), 59–82.
Neusser, K. (2016). Time series econometrics. In Introductory Econometrics: A Practical Approach. Springer. https://doi.org/10.1017/cbo9780511814839.012
Pandey, V. S., & Bajpai, A. (2019). Predictive efficiency of ARIMA and ANN models: a case analysis of nifty fifty in Indian stock market. International Journal of Applied Engineering Research, 14(2), 232–244.
Purnomo, D. T. (2021). Apakah Saham Farmasi Di Bursa Efek Indonesia Mengikuti Hipotesis Random Walk Saat Pandemi Covid-19? Jurnal Riset Ekonomi Dan Bisnis, 14(1), 18. https://doi.org/10.26623/jreb.v14i1.3170
Rehman, S., Chhapra, I. U., Kashif, M., & Rehan, R. (2018). Are Stock Prices a Random Walk? An Empirical Evidence of Asian Stock Markets. Etikonomi, 17(2), 237–252. https://doi.org/10.15408/etk.v17i2.7102
Rijal, A. (2019). Test of Random Walk Occurrences of Microfinance Sub Index in NEPSE. The Journal of Economic Concerns, 10(1).
Ross, S. J. (2013). Fundamentals of Fundamentals of. In Zitelli and Davis’ Atlas of Pediatric Physical Diagnosis (eight edit, Vol. 5, Issue March). Mc Graw Hill. https://www.crcpress.com/Fundamentals-of-Picoscience/Sattler/p/book/9781466505094#googlePreviewContainer
Timmermann, A., & Granger, C. W. J. (2004). Efficient market hypothesis and forecasting. International Journal of Forecasting, 20(1), 15–27. https://doi.org/10.1016/S0169-2070(03)00012-8
Wahyuningsih, N., Daryono, B. U., & Zatadini, R. A. D. (2017). Pendekatan Model Ekonometrika Untuk Memprediksi Indeks Saham Syariah Indonesia. Universitas Airlangga, 294.
DOI: https://doi.org/10.46899/jeps.v12i1.521
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