This report evaluates the U.S. National Flood Insurance Program's transition to risk-based pricing. It finds that unintended consequences, such as increased ex post disaster spending and household exposure to climate uncertainty, outweigh moral hazard costs. The authors conclude that an optimal premium subsidy of 52% is required.

Climate resilience requires understanding high-impact, low-probability tail risks. Rising temperatures are transforming extreme events into common occurrences. Using examples like the 2025 Los Angeles wildfires, this report advocates for assessing high-end warming scenarios and tipping points to evaluate the robustness of portfolios and assets against cascading physical risks.

A free online screening suite from WWF featuring Water and Biodiversity Risk Filters. It helps financial institutions and companies identify nature-related physical and regulatory risks across portfolios using 80+ global datasets.

The Climate Risk Signals Explorer is an AI-powered analytical tool by Climate Proof that tracks climate risk mentions in corporate earnings calls, helping finance professionals monitor physical and transition risks.

This benchmark series provides a comprehensive assessment of sustainable financial regulations and central banking activities. It tracks progress across global jurisdictions in integrating climate, environmental, and social risks within banking, insurance, and capital markets sectors, supporting the transition towards a net-zero and nature-positive global economy.

IBM Envizi Emissions is a data analytics platform and API that automates GHG Protocol-aligned emissions calculations. It enables organisations to integrate auditable ESG data into reporting workflows and performance management.

This research examines why climate-aligned guarantees often fail to mobilise private capital effectively. It identifies structural misalignments within multilateral development banks and suggests that strategic deployment requires a move towards portfolio-based approaches, local-currency financing, and better risk layering to address specific investment constraints in emerging markets.

This research analyses uncertainty in Network for Greening the Financial System (NGFS) climate scenarios across four vintages and 254 variables. It finds that revisions to initial conditions and model recalibration often exceed scenario and model uncertainty, requiring cautious interpretation in financial risk assessments.

Research demonstrates that Large Language Models exhibit purpose-conditioned bias when informed of downstream tasks. Goal-aware prompting leads to in-sample overfitting and inflated performance before knowledge cutoffs. Results indicate that disclosing objectives compromises neutrality, necessitating the separation of measurement and evaluation in AI-assisted workflows to ensure statistical validity.

An addendum to the Disaster Resilience Scorecard for Cities, this tool helps local governments assess and strengthen extreme heat risk management. It uses 18 indicators to evaluate governance, infrastructure, and financial planning to build long-term urban resilience against rising temperatures.

Global Nature Watch is an AI-powered Earth monitoring platform developed by the World Resources Institute and Google. It provides near-real-time data on land-use changes across various ecosystems to support nature-based risk assessment and environmental reporting.

The Barbara and Morris Pearl 527 Interactive Database tracks political donations from publicly traded US companies to 527 committees. Developed by the Center for Political Accountability, it helps finance professionals assess corporate governance and reputational risks related to political spending.

This benchmark series evaluates corporate political disclosure and accountability practices among major US companies. It provides a structured analysis of transparency, board oversight, and spending policies for the S&P 500 and Russell 1000, enabling stakeholders to assess political risk and governance standards across different industries.

This report evaluates climate change mitigation and adaptation strategies for data centres using the ClimaTech database. It assesses the effectiveness of decarbonisation across three scopes and analyses resilience measures for flood, storm, heat, and wildfire risks, providing quantitative performance metrics for various technological solutions.

This report analyses rising insurance costs in the United States commercial real estate sector. It finds that premiums have surged 154% since 2017, driven by climate risk and reinsurance trends. High-risk markets face significant valuation erosion, with multi-family properties particularly impacted by increased financial burdens and pricing volatility.

This research introduces a multilevel framework integrating flood hazard modelling, social vulnerability assessments, and risk communication. Designed for data-scarce environments, it addresses analytical silos by treating communication as a coequal component. The framework supports equitable decision-making through consequence-oriented risk surfaces and transparent uncertainty representation for municipal planning.