Jurnal Sistem Informasi Universitas Dinamika
Vol 5, No 9 (2016)

Analysis of the property company's stock price forecasting with ARIMA Methods (case study in Ciputra Property CTRP.JK)

Fildananto, Asdi Atmin (Unknown)
Sulistiowati, Sulistiowati (Unknown)
Susilo, Tegar Heru (Unknown)



Article Info

Publish Date
09 Mar 2017

Abstract

Investments in shares offering high profits, but also risky. Ciputra Property Company is one of The property company that has been listed in the Stock Exchange (Indonesia Stock Exchange) with code CTRP.JK. Value stock price is always changing according to the world economic conditions. To complement with the rapid changes in order to avoid losses, this research propose a method capable to forecast stock price shares in the future. One of the forecasting method appropriate for forecasting is ARIMA. ARIMA has several models and the best model is the model which produces the smallest error rate. this research shows that ARIMA (0,1,1) is the best forecasting model with the smallest error rate of 2.64% to forecast Ciputra Property's stock price.

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Journal Info

Abbrev

jsika

Publisher

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering

Description

Jurnal JSIKA adalah jurnal yang menampung publikasi tentang sistem perangkat lunak dan perangkat keras yang mendukung aplikasi khususnya sistem informasi. Jurnal JSIKA menerbitkan artikel mengenai desain dan implementasi, data model, process model, algoritma, perangkat lunak dan perangkat keras ...