TY  - CONF
TI  - Forecasting Petroleum Fuel Price in Malaysia by ARIMA Model
Y1  - 2021///
N1  - cited By 0; Conference of 6th International Conference on Fundamental and Applied Sciences, ICFAS 2020 ; Conference Date: 13 July 2021 Through 15 July 2021; Conference Code:270909
AV  - none
SN  - 22138684
SP  - 671
PB  - Springer Science and Business Media B.V.
A1  - Sokkalingam, R.
A1  - Sarpong-Streetor, R.M.N.Y.
A1  - Othman, M.
A1  - Daud, H.
A1  - Owusu, D.A.
EP  - 678
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123299699&doi=10.1007%2f978-981-16-4513-6_58&partnerID=40&md5=782611ff807ff11c56d7506ef34e0f7f
ID  - scholars15537
N2  - Over the years the retail price of petroleum fuel in Malaysia, Ron95, Ron97 and Diesel have been controlled by the governments using the Automatic Price Mechanism (APM) which made the price of fuel in Malaysia relatively stable up until 2004. Beyond the year 2004, the price of petroleum fuel has been volatile even with the APM still being implemented. Even after changing the Policy to Managed float system in 2016 fuel prices have still not been stable. Reasons that have been attributed to the volatilities are the international crude oil price and foreign exchange volatilities and reduction of subsidies to improve government fiscal space. Predicting fuel Prices has become difficult. In this paper we apply the Time Series method Autoregressive Integrated Moving Average (ARIMA) to model and forecast fuel price. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ER  -