Investment in Malaysia: forecasting stock market using time series analysis / Nuzlinda Abdul Rahman ... [et al.]

Abdul Rahman, Nuzlinda and Chen, Yi Kit and Pang, Kevin and Shaik Abdullah, Fauhatuz Zahroh and Izani, Nur Sofiah (2021) Investment in Malaysia: forecasting stock market using time series analysis / Nuzlinda Abdul Rahman ... [et al.]. In: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021), 4-5 August 2021. (Submitted)

Abstract

Investment is the asset committed to generate additional income. Investing is often described as the process of laying out money for now in the expectation of gaining more money in the future. Every investment comes with a different magnitude of risk. This study aims to investigate the performance of the Kuala Lumpur Composite Index (KLCI) from 1997 to 2018, to forecast the value of KLCI stock market for the coming three years and to investigate whether investment in stock market is the best in terms of profit for the coming three years. The ARIMA model approach was applied to study the KLCI time series. Model building and diagnostic checking techniques were conducted to determine a statistically adequate model. Result indicate that the stock market is highly volatile. For an investor which is willing to take high risk, investment on KLCI stock market will be the suitable choice.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Abdul Rahman, Nuzlinda
UNSPECIFIED
Chen, Yi Kit
UNSPECIFIED
Pang, Kevin
UNSPECIFIED
Shaik Abdullah, Fauhatuz Zahroh
fauhatuz@usm.my
Izani, Nur Sofiah
UNSPECIFIED
Subjects: H Social Sciences > HG Finance > Investment, capital formation, speculation
H Social Sciences > HG Finance > Investment, capital formation, speculation > Stock exchanges. Insider trading in securities
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Event Title: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021)
Event Dates: 4-5 August 2021
Page Range: pp. 278-290
Keywords: Investment, stock market, ARIMA
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/56223
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