Stock Return’s Prediction Using Financial Ratios for Malaysian Construction Firms

This study conceptualized the influence of financial ratios on the prediction of stock returns among construction firms listed on Bursa Malaysia. Specifically, it tries to examine the extent to which selected financial indicators affect stock return performance within the Malaysian construction sector. The analysis is based on accounting data that will be collected from Eikon LSEG, comprising 108 construction firms over a 14-year period from 2010 to 2024. The data should be employing a range of statistical and econometric techniques including descriptive statistics, normality tests, stationarity tests, pooled least squares regression, autocorrelation tests, as well as fixed and random effects models.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.906000359
Primary Topic
Financial Reporting and Valuation Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Stock Return’s Prediction Using Financial Ratios for Malaysian Construction Firms

Nur Izzah Mohamad Hashim, Putra Faizurrahman Zahid
International Journal of Research and Innovation in Social Science
Financial Reporting and Valuation Research
article

Stock Return’s Prediction Using Financial Ratios for Malaysian Construction Firms

Nur Izzah Mohamad Hashim, Putra Faizurrahman Zahid
article en

Abstract

This study conceptualized the influence of financial ratios on the prediction of stock returns among construction firms listed on Bursa Malaysia. Specifically, it tries to examine the extent to which selected financial indicators affect stock return performance within the Malaysian construction sector. The analysis is based on accounting data that will be collected from Eikon LSEG, comprising 108 construction firms over a 14-year period from 2010 to 2024. The data should be employing a range of statistical and econometric techniques including descriptive statistics, normality tests, stationarity tests, pooled least squares regression, autocorrelation tests, as well as fixed and random effects models.

International Journal of Research and Innovation in Social ScienceVol. IX(VI)
Openalex Percentile: Top 70%
Financial Reporting and Valuation Research
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