Investing in Mutual Funds Before and During the Covid-19 Pandemic: An Analysis using Markov Chain
DOI:
https://doi.org/10.30656/intech.v8i2.4907Keywords:
Covid-19, Markov Chain, Mutual FundAbstract
Indonesian people's interest in stocks and mutual funds is still low compared to other investment instruments. This study aims to evaluate the performance of mutual funds in Indonesia before and during the COVID-19 pandemic. Markov chain is used to assess the performance of each type of mutual fund because of its accuracy and suitability for data showing volatility. The results showed that all types of mutual funds experienced an increase with a probability of more than 50% in the long term. Money market mutual funds, both Islamic and conventional, have the highest probability of increasing by more than 90%. The first passage time can indicate how much price volatility is, wherein in this study, stock mutual funds and sharia stock mutual funds have high volatility. Before conducting further technical analysis, the Markov chain can be used to choose the type of mutual fund that is anticipated to increase.
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Aprilianti, I., Nidar, S. R., & Saefullah, K. (2022). Kinerja Reksa Dana Saham di Indonesia pada Masa Pandemi Covid-19. Matriks: Jurnal Sosial Dan Sains, 3(2), 100–110. https://matriks.greenvest.co.id/index.php/jmt/article/view/93
Filip, D., & Rogala, T. (2021). Analysis of Polish mutual funds performance: a Markovian approach. Statistics in Transition New Series, 22(1), 115–130. https://doi.org/10.21307/stattrans-2021-006
Fitriyanto, A., & Lestari, T. E. (2018). Application of Markov Chain to stock trend: A study of PT HM Sampoerna, tbk. IOP Conference Series: Materials Science and Engineering, 434(1), 12007. https://doi.org/10.1088/1757-899X/434/1/012007
Handayani, T. U., Santosa, P. W., & Setianingrum, A. (2019). Perbandingan Kinerja Reksadana Konvensional dengan Syariah. JEBA (Journal of Economics and Business Aseanomics), 4(2), 77–92. https://www.academicjournal.yarsi.ac.id/index.php/jeba/article/view/1242
Hillier, F. S., & Lieberman, G. J. (2001). Introduction to Operation Research (7th ed). McGraw-Hill. https://books.google.co.id/books?id=SrfgAAAAMAAJ
Mangram, M. E. (2013). A simplified perspective of the Markowitz portfolio theory. Global Journal of Business Research, 7(1), 59–70. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2147880
Oseghale, A. E., & Michael, O. D. (2020). Forecasting stock price behaviour of selected manufacturing companies in Nigeria: A Markov chain approach. Nigeria Journal of Business Administration, 18(1), 1–19. https://www.researchgate.net/publication/342379150
Philavong, M., & Phomvongsa, S. (2021). Cryptocurrency Business Covers the Psychological Impact of the Business Market on the Youth Segment. Journal of Asian Multicultural Research for Economy and Management Study, 2(2), 35–39. https://doi.org/10.47616/jamrems.v2i2.113
Purbowisanti, R. (2020). Penerapan Arch/Garch untuk Meramalkan Volatilitas Reksa Dana Campuran Syariah dan Reksa Dana Campuran Konvensional. At-Tijaroh: Jurnal Ilmu Manajemen Dan Bisnis Islam, 6(2), 132–146. https://doi.org/10.24952/tijaroh.v6i2.2344
Putri, A. G., & Wijaya, E. (2022). Analisis Kinerja Reksadana Pasar Uang Selama Pandemi Covid 19. Multi Data Palembang Student Converence, 1(8), 628–637. https://jurnal.mdp.ac.id/index.php/msc/article/view/1721
Sarıyer, G., Acar, E., & Durak, M. G. (2018). Using Markov Chains in Prediction of Stock Price Movements: A Study on Automotive Industry. International Journal of Contemporary Economics and Administrative Sciences, 8(2), 178–199. http://www.ijceas.com/index.php/ijceas/article/view/255
Sulistiowati, D., Syahrul, M. S., & Rianjaya, I. D. (2021). Risk Analysis of Gold Sale Price and Investment of Antam Shares Using Expected Shortfall in Pandemic Covid-19. Jurnal Matematika, Statistika Dan Komputasi, 17(3), 428–437. https://doi.org/10.20956/j.v17i3.12779
Uzun, B., & Kıral, E. (2017). Application of markov chains-fuzzy states to gold price. Procedia Computer Science, 120, 365–371. https://doi.org/10.1016/j.procs.2017.11.251
Wu, K. (2021). Prediction of Stock Prices Based on Markov Chain BT. Proceedings of the 4th International Conference on Economic Management and Green Development (C. Yuan, X. Li, & J. Kent (eds.); pp. 44–50). Springer Singapore. https://www.springerprofessional.de/en/prediction-of-stock-prices-based-on-markov-chain/19570248
Yousaf, I., Bouri, E., Ali, S., & Azoury, N. (2021). Gold against Asian Stock Markets during the COVID-19 Outbreak. Journal of Risk and Financial Management, 14(4), 186. https://doi.org/10.3390/jrfm14040186
Yuliana, A. F., & Robiyanto, R. (2021). Peran Emas Sebagai Safe Haven Bagi Saham Pertambangan Di Indonesia Pada Periode Pandemi Covid-19. Jurnal Ilmiah Bisnis Dan Ekonomi Asia, 15(1), 1–11. https://doi.org/10.32815/jibeka.v15i1.217