The report outlines the challenges of ESG fund classification and proposes a structured framework based on three observable features: ESG information use for risk-adjusted returns, policies controlling ESG exposure, and explicit impact objectives. It critiques existing regulatory approaches and suggests improvements for investor clarity, regulatory effectiveness, and research utility.

The CDSB Framework application guidance for biodiversity-related disclosures (the Biodiversity Application Guidance) has been produced by CDSB to assist companies in the disclosure of the material information about the risks and opportunities that biodiversity presents to an organisation’s strategy, financial performance and condition within the mainstream report (biodiversity-related financial disclosure). It is designed to supplement the CDSB Framework for reporting environmental and climate change information to investors (CDSB Framework).

This document provides corporates and financial institutions with guidance on identifying and assessing nature-related issues using the TNFD proposed LEAP approach.

This investor guide presents three steps that financial institutions can follow to use existing tools and datasets to screen investments for exposure to nature-related risks, taking into consideration the climate-nature nexus. The guide was written by financial institutions for financial institutions.

The Corporate Sustainability Reporting Directive (CSRD) introduces phased sustainability reporting for entities from 2025, using European Sustainability Reporting Standards (ESRS). Key requirements include double materiality assessments, mandatory disclosure in management reports, assurance processes, and compliance roadmaps. Businesses must integrate financial and sustainability reporting to align with evolving EU regulations.

This report provides investors with insights into leading practices for integrating biodiversity into investment strategies. It highlights best practices, case studies, and practical recommendations for enhancing the sustainability and resilience of investment portfolios.

The framework seeks to create a shared understanding and common language for investors on target setting, while steering private financial flows in alignment with the mission of the Global Biodiversity Framework to halt and reverse biodiversity loss by 2030. It focuses on listed equity and corporate bonds.

This supplement provides financial institutions with a framework for integrating natural capital considerations into their decision-making processes. It offers practical guidance on assessing and valuing natural capital dependencies and impacts, helping institutions manage risks and identify opportunities related to natural capital. It includes methodologies for incorporating natural capital into investment analysis, lending, and insurance underwriting, ultimately promoting sustainable finance practices.

This guide outlines a variety of tools and methodologies designed to help companies integrate natural capital considerations into their business decision-making processes. It provides detailed descriptions of different tools, case studies, and practical examples, enabling businesses to assess their environmental impacts, dependencies, and opportunities. The guide aims to promote sustainable business practices by highlighting the importance of valuing natural capital.

This guide supports investors in integrating nature and climate considerations into investment strategies. It offers insights and frameworks for addressing the interconnected challenges of climate change and biodiversity loss, promoting holistic and sustainable investment approaches.

This publication provides investors with insights from pilot projects supporting the TNFD framework. It highlights best practices and lessons learned for integrating nature-related financial disclosures into investment strategies, enhancing transparency and sustainability. It outlines the valuable insights gained and significant findings obtained from a global pilot project initiated by UNEP FI in conjunction with 20 financial institutions.

This handbook offers operational advice and project preparation guidelines, including hands-on formats that project proponents can use continuously and iteratively to develop the entire business case of NbS, enabling them to go from the idea stage towards an investment proposal or investment project stage that can be effectively assessed by potential investors. To illustrate the use of these guidelines the handbook presents the results of their application to three cases in Europe within the NAIAD project and to one case in Asia that was part of the Water as Leverage for Resilient Cities Asia programme.

The report explores how artificial intelligence (AI) and machine learning (ML) can address challenges in global pension systems. It highlights AI's potential to enhance governance, personalisation, fraud prevention, and investment strategies while emphasising ethical implementation and data privacy considerations to optimise retirement outcomes and ensure system sustainability.

The report examines the greenhouse gas (GHG) emissions associated with cryptocurrencies, proposing a hybrid allocation method to attribute these emissions to stakeholders based on cryptocurrency holdings and transactions. It highlights the environmental impact of Proof-of-Work protocols, the efficiency of Proof-of-Stake, and offers guidance aligned with GHG Protocol standards.

The report highlights the environmental impact of digital assets, focusing on energy-intensive proof-of-work (PoW) consensus mechanisms in cryptocurrencies like Bitcoin. It underscores significant carbon emissions and advocates transitioning to less energy-demanding models, renewable energy use, and cross-border cooperation. Policy recommendations include targeted regulation, enhanced data transparency, and leveraging distributed ledger technologies for sustainable finance.

The report explores reframing child labour due diligence in supply chains, emphasising systemic solutions, collaboration, and addressing root causes. It critiques current top-down models, highlighting their inefficiencies and unintended consequences.