PENGGUNAAN METODE TRESHOLD GARCH DALAM MEMPREDIKSI HARGA SAHAM PT. GUDANG GARAM, Tbk.

Henry Winata, Yudith Dyah Hapsari

Abstract


The cigarette industry in Indonesia continues to advance and evolve, it is supported by high demand by the public. PT. Gudang Garam, Tbk. is one of the companies that are already publicly traded in IDX (Indonesia Stock Exchange). The cigarette company’s stock price tends to go up and make the tobacco companies have good potential in investing. This study uses time series analysis to forecast the stock price of PT. Gudang Garam, Tbk. Historical data is obtained from the stock price www. ï¬ nanceyahoo.com published by the Jakarta Stock Exchange. The results of this study indicate that the daily stock price data of PT. Gudang Garam, Tbk. during the period of 2010-2015 is the data that is contained heteroscedasticity and asymmetric shocks, so that we need the necessary variation model of ARCH / GARCH, Threshold GARCH (TGARCH) to produce accurate forecasting results. Results forecasting models indicate that the model TGARCH (1.1) is quite accurate in forecasting with a mean absolute percentage error of 4%.

Keywords


Time Series; Forecasting; Heteroskedastis; Asymmetric; TGARCH

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DOI: http://dx.doi.org/10.12928/optimum.v7i1.7893

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Optimum: Jurnal Ekonomi dan Pembangunan
Fakultas Ekonomi dan Bisnis Universitas Ahmad Dahlan
Kampus 1 Jalan Kapas 9 Yogyakarta 55166 INDONESIA
Phone: +62-274-563515
E-mail:optimum@uad.ac.id

p-ISSN:1411-6022 | e-ISSN: 2613-9464


This work is licensed under a Creative Commons Attribution 4.0 International License