Climate Risk Stress Testing in California: A Geospatial Framework for Banking and Climate-Exposed Sectors
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866908975671279616 |
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| author | Panda, Satya Narayana Saha, Aishworzo |
| author_facet | Panda, Satya Narayana Saha, Aishworzo |
| contents | This paper develops a geospatial framework for climate risk stress testing in California with applications to banking and climate-exposed sectors such as agriculture, real estate, and tourism. The study integrates physical hazard mapping, sector-specific exposure analysis, and scenario-based financial risk assessment to evaluate how wildfires, drought, flooding, extreme heat, and transition risks may affect regional economic activity and financial stability. The framework is intended to support portfolio monitoring, climate scenario analysis, and institutional readiness under emerging disclosure and risk-management standards. In addition, the paper provides a survey-based implementation guide for benchmarking current climate-risk practices and data needs across industry and academic stakeholders. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_16716 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Climate Risk Stress Testing in California: A Geospatial Framework for Banking and Climate-Exposed Sectors Panda, Satya Narayana Saha, Aishworzo Computational Engineering, Finance, and Science Risk Management This paper develops a geospatial framework for climate risk stress testing in California with applications to banking and climate-exposed sectors such as agriculture, real estate, and tourism. The study integrates physical hazard mapping, sector-specific exposure analysis, and scenario-based financial risk assessment to evaluate how wildfires, drought, flooding, extreme heat, and transition risks may affect regional economic activity and financial stability. The framework is intended to support portfolio monitoring, climate scenario analysis, and institutional readiness under emerging disclosure and risk-management standards. In addition, the paper provides a survey-based implementation guide for benchmarking current climate-risk practices and data needs across industry and academic stakeholders. |
| title | Climate Risk Stress Testing in California: A Geospatial Framework for Banking and Climate-Exposed Sectors |
| topic | Computational Engineering, Finance, and Science Risk Management |
| url | https://arxiv.org/abs/2604.16716 |