Statistical Analysis of Stock Market Data for Real Estate Companies

Lim, Jackson Jie Sheng (2025) Statistical Analysis of Stock Market Data for Real Estate Companies. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

This study analyses the stock market performance of five prominent Malaysian real estate companies—YNH Property Bhd, Sunsuria Berhad, Sime Darby Property Berhad, IJM Corporation Bhd, and Gamuda Bhd—from 2021 to 2023. The primary purpose is to statistically evaluate stock price behaviours, investigate relationships between stock prices and trading volumes, assess the impact of external economic factors, such as inflation and government policy changes (specifically Budget 2023’s stamp duty exemptions), and forecast future stock price movements. Statistical methodologies, including independent and paired t-tests, one-way ANOVA, chi-square tests of independence, correlation analyses (Pearson and Spearman), and ARIMA forecasting, were applied. Analysis tools such as Jamovi and Jupyter Notebook (with libraries including Pandas, NumPy, and Statsmodels) facilitated data processing, analysis, and visualization. Results indicate significant differences in stock prices among companies, with YNH Property Bhd and Gamuda Bhd consistently exhibiting higher prices and greater volatility. Stock prices across the sector varied significantly with inflation changes between 2021 and 2023, particularly highlighting the sensitivity of companies like Sime Darby Property Berhad and Gamuda Bhd to macroeconomic shifts. Government policy changes notably influenced volatility, particularly reducing fluctuations for IJM Corporation Bhd and Gamuda Bhd. Moreover, trading volume was significantly associated with stock price movements, underscoring the importance of market liquidity as an indicator of investor behaviour. The ARIMA model demonstrated promising forecasting accuracy for short-term stock price predictions, suggesting its utility in financial decision-making. This research provides actionable insights for investors, analysts, and policymakers, enabling improved investment strategies, risk management, and informed policy decisions within Malaysia’s real estate sector. Keywords: Stock Market Analysis, Real Estate Sector, Statistical Analysis, Inflation, ARIMA Forecasting, Trading Volume, Stock Price Volatility, Malaysia