Link to Web App 👉: HERE
SGX OLS Analysis is an interactive R Shiny application that analyzes the financial performance drivers of Singapore Exchange (SGX)-listed companies using comprehensive Ordinary Least Squares (OLS) multiple regression analysis. Built with solid econometric practices including heteroskedasticity-robust standard errors and lagged variables to reduce simultaneity bias, this web app provides deep insights into what drives profitability among SGX firms.
- Understand which financial factors significantly impact company performance through rigorous statistical analysis
- Explore relationships between lagged financial performance indicators (Debt Ratio, Debt-to-Equity Ratio, Current Ratio, Interest Coverage Ratio, Gross Margin, Net Profit Margin, Asset Turnover, Log Assets) and current profitability measures (ROA, ROE, Operating Margin, Cash Flow Margin)
- Filter analysis by financial year-end and industry sector for targeted insights
- Access comprehensive regression diagnostics including residual plots, Q-Q plots, and heteroskedasticity tests
- Download complete dataset with 1,372 firm-year observations from 473 SGX companies (FY2022-2024)