Prediction of Mining Corporation Stock Index based on Gold Price Index and Exchange Rate of Currency

Prajna Ibnugraha, Moch Rizal

2021

Abstract

The stock prediction is essential part for stock trader. It is able to reduce potential risk of financial loss. The stock prediction model can be built using time series algorithm in machine learning such as Naïve Bayes. This algorithm is utilized by this study for forecasting stock price of mining corporation PT Antam. Two features involved in forecasting are gold price and currency exchange of Indonesian Rupiah (IDR) to US Dollar (USD). The dataset is obtained from Stock Exchange of Indonesia in 2018-2019 period. Splitting of dataset and cross-validation are used to compute the accuracy of the model. The model produces 51%-52% of accuracy. It means that features are not reliable to predict the stock price of mining corporation in Indonesia.

Paper Citation

in Harvard Style

Ibnugraha P. and Rizal M. (2021). Prediction of Mining Corporation Stock Index based on Gold Price Index and Exchange Rate of Currency. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 1276-1280. DOI: 10.5220/0010963700003260

in Bibtex Style

@conference{icast-es21,
author={Prajna Ibnugraha and Moch Rizal},
title={Prediction of Mining Corporation Stock Index based on Gold Price Index and Exchange Rate of Currency},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={1276-1280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010963700003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Prediction of Mining Corporation Stock Index based on Gold Price Index and Exchange Rate of Currency
SN - 978-989-758-615-6
AU - Ibnugraha P.
AU - Rizal M.
PY - 2021
SP - 1276
EP - 1280
DO - 10.5220/0010963700003260