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• Early climate scenarios lack short-term adversity and sector detail
• Central bankers are adding policy and market shocks with PD and spread impacts
• Banks are building agent-based models and SSP – RCP methods to own assumptions
• Qualitative 10-year narratives guide strategy but need quantitative bridges
• Validation shifts to plausibility, traceability and explainability
• Data consistency and geolocation are prerequisites for credible analysis
• Nature risk demands localized data and supply-chain transmission mapping
• Goal is full integration of climate risk into standard stress testing
• Internal models improve ownership, transparency and decision usefulness
• The focus moves from awareness to action and integration