ESTIMATION OF VALUE AT RISK IN ISLAMIC STOCKS USING MONTE CARLO SIMULATION IN JAKARTA ISLAMIC INDEX (JII) PERIOD 2017-2020
Keywords:
ADRO, ANTM, PTBA, investsAbstract
The purpose of this study is to determine the Value at Risk (VaR) in the Islamic stock’s portfolio with the Monte Carlo simulation in the Jakarta Islamic Index during 2017 – 2020. The data analysis technique employed in this study was descriptive statistical analysis, in which the analysis carried out to describe or provide information and overview of the object to be studied using a population and sample without making general conclusions. In this study, the data used in the mining sector were ADRO, ANTM, INCO and PTBA. From the results of the study, it is revelaed that the calculation of the average VaR value obtained are Rp. 1,182,813 at 95% confidence level in a period of one day. It can be interpreted that if an investor invests initial funds in a portfolio consisting of ADRO, ANTM, INCO and PTBA stocks with a fund of Rp. 10,000,000, the maximum loss that will be experienced by the investor in the next period (1 day after the period) with a confidence level of 95 % will not exceed Rp.1.182.813 or it can be said that there is a 5% possibility that investment losses in the portfolio consisting of ADRO, ANTM, INCO and PTBA stocks will exceed Rp.1.182.813.
References
Abu Bakr, Nashirah and Sofian Rosbi. (2019) Monte Carlo Simulation for Data Volatility Analysis of Stock Prices in Islamic Finance for Malaysia Composite Index. International Journal of Advanced Engineering Research and Science (IJAERS): Malaysia. (Vol-6 Issue-3).
Ariani, Liya et al. (2017) Market Effect of EPS, CR, DER, and PBV on Stock Prices with Dividend Policy as an Intervening Variable. Semarang: Pandanaran University Semarang.
Choirunnisak. (2019) “Sharia Stocks: Theory and Implementation”, Journal of Economics. Vol 4. No 2.
Parameter Value Estimation, http://.usd.ac.id page 33. Accessed on August 19, 2021
Fitaloka, Elga et al. (2012) Measurement of Value at Risk in Portfolio with Monte Carlo Simulation. Math Scientific Bulletin. Stats and Applications: 2012. Vol. 7 No. 2.
Gunthorpe and Haim Levy. Portfolio Composition and The Investment Horizon. Financial Analyst Journal 50(1): 51.
Handayani, Ratna et al. (2018) "The Effect of Earning Per Share (EPS), Debt to Equity Ratio (DER), and Return on Assets (ROA) on Stock Returns in Manufacturing Companies Listed on the IDX". Lamongan Islamic University: Journal of Management Science Research. Vol 3 No. 1.
Hidayati, Lina Nur. (2006) Measuring Banking Risk with Value at Risk (VaR). Journal of Management Science: Yogyakarta.
Husnan, Suad. (2005) Fundamentals of Portfolio Theory and Securities Analysis. Yogyakarta: UPP STIM YKPN.
Juniar, Astrid et al. (2020) Value at Risk in the Formation of Optimal Portfolio on Sharia-Based Stocks. International Journal of Recent Technology and Engineering (IJRTE). (Volume 8, Issue 5) January 5, 2020.
Kenton, Will. (2019) What is Value at Risk (VaR), Investopedia. URL: www.investopedia.com , accessed on January 12, 2021.
Maralis, Reni et al. (2019) Risk Management. Yogyakarta: Depublish.
Marsis, Adi Setiawan. (2013) The Biggest Secret of Investment. Second Hope. Mold 1.
Rahardjo, Sapto. (2006) Tips for Building Wealth Assets. Jakarta: PT Elex Media Komputindo.
Raychaudhuri, Samik. (2008) Introduction to Monte Carlo Simulation. (University of Wisconsin: USA)
Rizky, Aulia. (2016) Monte Carlo Simulation for Calculation of Value at Risk in the Generalized Autoregressive Conditional Heteroscesdastic In Mean Model. Maulana Malik Ibrahim State Islamic University. Poor.
Sartono, RA, Andika SA (2006) Optimal Portfolio VaR: Comparison between Markowitz Method and Mean Absolute Deviation. Journal of Business Strategy.
Sofia, Nita. (2017) Measurement of Value at Risk in Portfolio with Monte Carlo Simulation, Yogyakarta State University.
Law on Capital Market, Law no. 8 of 1995, State Gazette no. 64 of 1995, Supplement to the State Gazette no. 3608
Zulfikar. (2016) Introduction to the Capital Market with a Statistical Approach. Yogyakarta: Deepublish Publisher, Cet. number 1.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.