Corporate_Financing_ESG

• Scope: 100 companies across various industries and countries
• Periods Covered: Pre-pandemic, pandemic, and post-pandemic phases
• Target Variable: Indicates whether a company significantly altered its financing strategy due to the pandemic

Key Variables

Corporate Information

• Company_ID: Unique identifier for each company
• Sector: Industry classification (e.g., Tech, Finance, Healthcare)
• Country: Country of operation

Financial Indicators

• Stock_Price_Pre: Stock price before the pandemic
• Stock_Price_Pandemic: Stock price during the pandemic
• Stock_Price_Post: Stock price after the pandemic
• Debt_to_Equity_Pre: Debt-to-equity ratio before the pandemic
• Debt_to_Equity_Pandemic: Debt-to-equity ratio during the pandemic
• Debt_to_Equity_Post: Debt-to-equity ratio after the pandemic
• Dividends_Pre: Dividend payouts before the pandemic
• Dividends_Pandemic: Dividend payouts during the pandemic
• Dividends_Post: Dividend payouts after the pandemic

ESG Metrics

• ESG_Score_Pre: ESG score before the pandemic
• ESG_Score_Pandemic: ESG score during the pandemic
• ESG_Score_Post: ESG score after the pandemic

Additional Features

• Funding_Sources: Primary funding sources during the pandemic (e.g., Debt, Equity, Government Support)
• Pandemic_Severity: Impact of the pandemic on the company (Low, Moderate, High)
• Target Variable:
  • Target (Binary):
    • 1 = Significant changes in financing strategy (e.g., raising capital, reducing dividends)
    • 0 = No significant changes

Applications of the Dataset

1. Pandemic Impact Analysis: Study the financial resilience of companies across sectors during the COVID-19 pandemic.
2. ESG Research: Explore how ESG factors influenced corporate strategies and investor confidence.
3. Decision-Making Insights: Analyze patterns in financing decisions to guide future epidemic risk management.
4. Sectoral Comparisons: Compare the financial and ESG performance of companies in various industries.
5. Academic Research: Provide a valuable dataset for studies in finance, sustainability, and corporate governance.

Key Features

• Comprehensive coverage of pre, during, and post-pandemic periods.
• Includes diverse financial and ESG metrics to support detailed analysis.
• Binary target variable for machine learning and predictive modeling.
• Multi-sector, multi-country dataset for global applicability.