A PEMODELAN VOLATILITAS INDEKS HARGA SAHAM DENGAN METODE GARCH DAN E- GARCH : STUDI KASUS PADA JAKARTA STOCK EXCHANGE COMPOSITE INDEX ( JCI ) DAN STRAIT TIMES INDEX (STI )
Keywords:
Volatilitas, Garch, E Garch, SahamAbstract
Trading shares of a country has the same or different characteristics as other countries. The characteristics of the market are a reflection of the character of investors who play a role in trading on the stock exchange. Although there are differences or similarities in character on a country's stock exchange, there is something experienced by all stock exchanges in various countries, namely the movement of stock price values and volumes in stock trading dynamically known as volatility. Volatility as a risk that an investor must face in investing requires the ability to predict volatility so that the risk of loss borne by investors can be reduced. The volatility forecasting model with the Garch and E Garch methods is expected to be one of the investors' considerations in making rational investment decisions.
References
Arjoon, V., Bhatnagar, C. S., & Ramlakhan, P. (2019). Herding in the Singapore stock Exchange. Journal Of Economics And Business.
Bollerslev, T. (1986). GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY. Journal of Econometrics, 307-327.
Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrika, 987-1007.
Engle, R. F., & Patton, A. J. (2007). Forecasting Volatility in the Financial Markets. In R. F. Engle, & A. J. Patton, Quantitative Financial (pp. 47-63). Uk: tandf.co.
Junaid, M. T., Juliana, A., & Shabrina, H. (2020). STUDI PERBANDINGAN MODEL ARIMA DAN GARCH UNTUK MEMPREDIKSI HARGA SAHAM PADA PERUSAHAAN TAMBANG DI INDONESIA. Jurnal Ilmu Keuangan dan Perbankan (JIKA) Volume 10, 85-99.
Liu, L., & Pan, Z. (2019). Forecasting stock market volatility: The role of technical variables. Economic Modelling, 1-46.
Marchese, M., Kyriakou, I., Tamvakis, M., & Di Iorio, F. (2020). Forecasting crude oil and refined products volatilities and Correlations, New evidence from fractionally integrated multivariate GARCH Model. Energy Economics, 1-45.
Maulana, Y. (2019). ANALISIS VOLATILITAS DAN FORECAST SAHAM. Indonesian Journal Of Strategic Management Printed Vol.2, 1-10.
Ningsih, S. R., Sumarjaya, I. W., & Sari, K. (2019). PERAMALAN VOLATILITAS SAHAM MENGGUNAKAN MODEL EXPONENTIAL GARCH DAN THRESHOLD GARCH. E-Jurnal Matematika Vol .8(4), 309-315.
Panda, A. K., Panda, P., Nanda, S., & Parad, A. (2021). Information bias and its spillover effect on return volatility: A study on stock markets in the Asia-Pacific region. Pacific-Basin Finance Journal, 1-21.
Raneo, A. P., & Mutia, F. (2018). Penerapan Model GARCH Dalam Peramalan Volatilitas di Bursa Efek Indonesia. Jurnal Manajemen dan Bisnis Sriwijaya, 194-202.
Reschenhofer, E., Mangat, M. K., & Stark, T. (2020). Volatility forecasts, proxies and loss functions. Journal of Empirical Finance, 133-153.
Sari, L. K., Achsani, N. A., & Sartono, B. (2017). Pemodelan Volatilitas Return Saham: Studi Kasus Pasar Saham Asia ,Modelling Volatility of Return Stock Index: Evidence from Asian Countries. Jurnal Ekonomi dan Pembangunan Indonesia, 35-52.
Sudarto, Wati, H. H., & Kurniasih, R. (2021). MEMODEL VOLATILITAS RETURN SAHAM DENGAN MODEL E-GARCH DAN T-GARCH. Jurnal Ekonomi, Bisnis dan Akuntansi (JEBA) Volume 23 No 2, 77-92.
Takahashi, M., Watanabe, T., & Omori, Y. (2021). Forecasting Daily Volatility of Stock Price Index Using Daily Returns and Realized Volatility. Econometrics and Statistics, 14-26.
Thampanya, N., Junjie, W., Nasir, M. A., & Liu, J. (2020). Fundamental and behavioural determinants of stock return volatility in ASEAN-5 countries. Journal of International Financial Markets, Institutions & Money, 1-54.
Wulansari, W., & Yonnedi, E. (2017). VOLATILITAS HARGA SAHAM PASAR MODAL INDONESIA:STUDI PADA INDEKS LQ45 PERIODE 30 DESEMBER 2011-30 JUNI 2014. universitas andalas, 1-18.
Yao, X., Izzeldin, M., & Li, Z. (2019). A novel cluster HAR-type model for forecasting realized. International Journal of Forecasting, 1318-1331.
Yao, Y., & Liu, X. (2020). Forecasting short-run exchange rate volatility with monetary fundamentals: A GARCH-MIDAS approach. Journal of Banking and Finance, 1-15.
Zhao, R. (2019). Quantifying the correlation and prediction of daily happiness sentiment and stock return: The Case of Singapore. Physica A, 1-22.
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