Research Article
IMPLEMENTATION OF SHORT-TERM FORECASTING MODELS IN THE NATURAL GAS INDUSTRY FINANCIAL DATA
@INPROCEEDINGS{10.4108/eai.1-10-2020.2304916, author={Rialdi Azhar and Sari Indah Oktanti Sembiring and Muslimin Muslimin and Fajrin Satria Dwi Kesumah}, title={IMPLEMENTATION OF SHORT-TERM FORECASTING MODELS IN THE NATURAL GAS INDUSTRY FINANCIAL DATA}, proceedings={Proceedings of the First International Conference of Economics, Business \& Entrepreneurship, ICEBE 2020, 1st October 2020, Tangerang, Indonesia}, publisher={EAI}, proceedings_a={ICEBE}, year={2021}, month={4}, keywords={forecasting garch natural gas}, doi={10.4108/eai.1-10-2020.2304916} }- Rialdi Azhar
Sari Indah Oktanti Sembiring
Muslimin Muslimin
Fajrin Satria Dwi Kesumah
Year: 2021
IMPLEMENTATION OF SHORT-TERM FORECASTING MODELS IN THE NATURAL GAS INDUSTRY FINANCIAL DATA
ICEBE
EAI
DOI: 10.4108/eai.1-10-2020.2304916
Abstract
Financial data especially the natural gas industry that will be projected must have high accuracy. Problems: These data are time-series data and contain heteroscedasticity so that they require forecasting models with low error rates. The data used in the study are daily financial data from natural gas from 2014 to 2019. Short-term forecasting model (GARCH) which has the advantage of modeling data with heteroscedasticity. AR1, GARCH 1.1 short-term forecasting model is stated as a model that has the advantage of modeling data with a high degree of accuracy. The forecasting model can be used by various parties in finding the accuracy of information to come so that planning decisions have been prepared and prepared.
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