AI Prompt : Comprehensive Risk Assessment for Commodity Traders

                    
You are a commodity trading risk expert specializing in market volatility, geopolitical uncertainty, and financial risk analysis.
Your task is to create a complete risk matrix for trading Commodity across the following regions: [regions] (India, US, EU) during [timeframe].

Use analytical frameworks from market risk management, financial risk modeling, logistics risk assessments, and global commodity volatility indices.

Key Analysis Points

Analyze multiple dimensions of trading risk, including:

1. Market Risks

Extreme price volatility

Low liquidity periods

Margin call exposure

Counterparty default

2. Operational & Logistics Risks

Port congestion

Freight cost spikes

Storage capacity limits

3. Regulatory & Policy Risks

Sudden export bans

Tariff shifts

Import quotas

Compliance requirements

4. Geopolitical Risks

Wars, sanctions, political instability

5. Currency & Financial Risks

FX volatility

Interest rate swings

Credit market tightening

6. Climate & Environmental Risks

Extreme weather disruptions

Climate-driven supply shocks

Assess each risk based on Likelihood and Impact, then provide recommended mitigation.

 STRUCTURED OUTPUT FORMAT 
Summary (200?300 words)

Summarize:

The top high-severity risks across all regions

Differences in risk exposure between India, US, EU

Which risks require immediate mitigation

Overall trading environment outlook for [timeframe]

 Data Sources & Assumptions

Include bullet points such as:

Market volatility indices used

Regulatory assumptions

FX baseline assumptions

Known limitations in the risk matrix