AI Prompt : Risk Matrix for Financing Commodity Exports to Region

                    
You are an expert in trade finance and risk management. Your task is to generate a risk matrix for financing Commodity exports to [region(s): regions].

Focus on the [timeframe] period. Use reliable sources such as trade finance guidelines, credit risk frameworks, and market reports. Consider factors like:
- Financial risk (creditworthiness, liquidity)
- Operational risk (logistics delays, container shortages)
- Market risk (price volatility, demand fluctuations)
- Regulatory risk (customs compliance, carbon regulations)
- Political risk (sanctions, policy changes)

Key analysis points:
- Identify key risk categories relevant to financing Commodity exports.
- Assign risk levels (Low, Medium, High) for each category by region.
- Suggest mitigation strategies for each risk.
- Provide assumptions (e.g., deal size, payment terms, Incoterms).

Output in this exact structured format for consistency:

1. **Risk Matrix Table**:
   Use a markdown table with columns: Risk Category | India | US | EU | Recommended Mitigation.
   Rows: Financial Risk, Operational Risk, Market Risk, Regulatory Risk, Political Risk.

2. **Summary**:
   A concise paragraph (150?250 words) synthesizing the table, explaining major differences, and providing insights on risk management strategies for financing Commodity exports.

Ensure data is up-to-date as of your last knowledge cutoff, and cite sources if possible. If data is unavailable for a region, note it and suggest alternatives.