India Stock Market Dataset (1980–2024)
Description
SENSEX Index (Annual Closing Value) – Benchmark index of the Bombay Stock Exchange (BSE) GDP Growth (%) – Annual real GDP growth rates (constant prices) Inflation Rate (%) – Annual consumer price index (CPI)-based inflation Exchange Rate (INR/USD) – End-of-year nominal exchange rate Market Capitalization (INR billion) – Total BSE market value Trading Volume (Million Shares) – Aggregate trading activity per year All data have been sourced from official publications including the Reserve Bank of India (RBI), BSE archives, International Monetary Fund (IMF), and World Bank. The dataset is structured in wide format, with each row representing a calendar year from 1980 to 2024 and each column representing one variable.
Files
Steps to reproduce
Download the Dataset Download the Excel file India_Stock_Market_Data.xlsx, which includes annual data from 1980 to 2024 on: SENSEX index values GDP growth (%) Inflation rate (%) Exchange rate (INR/USD) Market capitalization Trading volumes Software Requirements Use any of the following tools to replicate the analysis: R (suggested packages: vars, urca, tseries) Python (libraries: pandas, statsmodels, matplotlib) Stata or EViews Excel (for basic correlation and trend analysis) Data Preparation Convert variables to time-series format (yearly). Check for missing values and address them appropriately. Apply transformations (e.g., log or differencing) where necessary for stationarity. Replication Tasks Generate descriptive statistics (mean, std. dev., min, max). Conduct correlation analysis between SENSEX and macro variables. Run Granger causality tests to assess directional relationships. Estimate a Vector Error Correction Model (VECM) to examine long-run dynamics. Recreate key figures showing: SENSEX vs GDP Growth SENSEX vs Inflation SENSEX vs Exchange Rate Qualitative Context (Optional) Align observed trends with historical policy changes, regulatory reforms (e.g., SEBI), and global economic events.