This case study explores how Global Partnerships adopts outcomes-focused impact measurement and management (IMM) practices. It highlights the importance of tracking both development and intermediate outcomes in financial inclusion to ensure investments genuinely benefit underserved populations and achieve measurable social impact while mitigating potential risks.

The report outlines four essential factors for improving impact measurement and management (IMM) in financial inclusion. These enablers—shared IMM understanding, addressing operational barriers, integrating outcomes into decision-making, and enhancing transparency—aim to align stakeholders across the investment chain to prioritise developmental and intermediate outcomes for inclusive, sustainable finance.

This brief presents a framework for integrated profit and loss (IP&L) reporting that includes financial, natural, human, and social capital. It aims to quantify corporate impacts beyond financial capital, providing a comprehensive view of business performance. The IP&L approach helps businesses align sustainability with corporate accountability, benefiting stakeholders.

This handbook provides a comprehensive overview of artificial intelligence (AI) and big data applications in investments. It covers topics such as machine learning, natural language processing, trading algorithms, and AI-driven customer service. Aimed at finance professionals, it offers insights into practical use cases, challenges, and evolving trends in AI adoption, making it a valuable resource for those navigating the integration of these technologies in investment strategies.

This report examines the relationship between sustainable agricultural practices and non-financial support in impact investments, highlighting how such support can enhance performance. Findings reveal that non-financial support improves outcomes for smallholder farmers, especially women, by increasing service provision and adoption of sustainable farming, contributing to resilience and profitability.

This guide offers a practical framework for assessing the robustness of investment models used in finance. This report covers methodologies such as backtesting, cross-validation, and scenario analysis to mitigate model risk, providing investment professionals with tools to enhance decision-making processes and model reliability. The guide stresses the importance of aligning model outcomes with economic theory and offers insights into performance benchmarking.

This report explores the challenges and importance of impact measurement and management (IMM) in directing capital to climate-friendly projects, particularly in emerging markets. Through investor interviews and case studies, it highlights the need for standardised IMM to enhance transparency, avoid 'impact-washing', and ensure equitable access to capital for underrepresented markets like Zambia.

This report investigates whether high-interest payday loans are predatory by exploring borrower behaviour and the impact of regulatory measures. Using an experiment with payday loan borrowers, the study finds that while inexperienced borrowers are often overoptimistic about repayment, more experienced ones anticipate future borrowing accurately.

The FINRA Fund Analyzer helps finance professionals assess fees, expenses, and potential savings for mutual funds, ETFs, and exchange-traded products. It provides detailed cost comparisons and projections to support informed investment decisions. Suitable for evaluating long-term fund performance and cost efficiency in the UK and Australian markets.

This guide provides businesses with a framework to quantify air pollutant emissions along their value chains. It offers methodologies for assessing emissions from key sources such as electricity, fuel combustion, and transportation, helping businesses reduce pollutants and support better health outcomes and environmental sustainability.

The report presents a method called "storylines" for assessing future physical climate-related financial risks. It emphasises plausibility over probability, allowing for a more comprehensive understanding of uncertainties and risks in financial disclosures, particularly in the context of extreme climate events. This approach enhances risk assessment by integrating climate science with traditional financial analysis frameworks.

This tool helps businesses to evaluate their efforts in addressing modern slavery. It provides a comprehensive framework to assess risk, policies, and practices, facilitating improvement in combating modern slavery within supply chains and operations. This tool promotes transparency and accountability in corporate practices.

Climate TRACE is a comprehensive tool for tracking global greenhouse gas emissions. Utilising satellite data and AI, it provides real-time insights, helping finance professionals assess environmental impacts and make informed decisions. This tool supports ESG integration and sustainability in financial practices.

This report examines the current state of refugee-related investment, a subset of impact investing focused on companies benefiting forcibly displaced people. It discusses the need for sustainable solutions for refugees' economic inclusion, the challenges faced by this nascent field, and recommendations for governments, development partners, and private sector actors to accelerate refugees' social and economic inclusion while benefiting host countries.

This report is an implementation guide for impact investing practitioners. It includes chapters on defining impact investing, identifying players involved, setting impact goals, selecting impact investment tools and structures, measuring and managing impact, and implementing best practices. The guide is informative, objective, and designed to inform the impact investment strategy.

The authors of this report explore the challenges of integrating climate-related risks into regulatory stress tests. They demonstrate that supervisory risk assessment frameworks struggle to capture long-term systemic risks, and offer recommendations for developing a 'long-term risk;' supervision 'infrastructure.'