Stock Prices’ Response Towards Macroeconomic Shocks in Listed Malaysian Property and Construction Companies

Abdullah, Nik Nairan

doi:10.55862/asbjv3i1a005

Cited by 1 publication

(2 citation statements)

References 16 publications

(18 reference statements)

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“…The methodological fit for this study is grounded in its comprehensive approach. By incorporating a broad array of macroeconomic indicators, the study provides a holistic perspective on the performance of the supply construction sector (Farhah Natasha Binti Hashim, 2017;Kan, 2017;Abdullah, 2022;Correia and Ribeiro, 2022; Mohd Damit, M.R. Puci, Demi and Kadiu, 2023).…”

Section: Methodsmentioning

confidence: 99%

“…A Review of Supply Chain Management Issues in Malaysian Industrialised Building System (IBS) Construction Industry and Construction and Economic Development in Malaysia offer novel insights into the broader impact of monetary and macroeconomic factors in the context of RQ2 (Kan, 2017;Abdullah, 2022). Nevertheless, these studies do not explicitly address the extent to which BLR compares to other indicators in influencing supply construction GDP.…”

Section: Literature Reviewmentioning

confidence: 99%

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Analysing the Dynamics of Supply Construction Gross Domestic Products in Malaysia

Mohd Damit

2024

DBS Appl Res Theor.

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This research study serves two purposes. First, it seeks to examine the dynamics of Malaysia's supply construction sector and its Gross Domestic Product (GDP) from 2015 to 2023. Second, it aims to identify the key macroeconomic forces regulating this sector and their influence throughout the provided timeframe. In order to achieve these goals, the study applies a variety of research approaches, including correlation and regression analysis. The primary macroeconomic indicators examined are exchange rates, base lending rates, and inflation. The study's findings show that the Base Lending Rate (BLR) has a considerable effect on Malaysia's supply construction GDP. In contrast, exchange rates and inflation rates have modest or statistically negligible impacts. The study's regression model emphasizes the significant influence of BLR and demonstrates that it is the most powerful predictor among the investigated macroeconomic factors. The importance of this research rests in its capacity to clarify the complex link between macroeconomic data and Malaysia's supply construction sector. It emphasizes BLR's crucial role in influencing the performance of this sector and, as a result, its impact on the whole economy. Furthermore, the study provides useful insights for policymakers, industry stakeholders, and future research endeavours, enabling informed economic decision-making and strategic planning in the construction sector.

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