Giin impact investing benchmark
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Giin impact investing benchmark ethereum current use cases
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This brief, Using non-financial support to increase financial inclusion, uncovers how investments providing non-financial support can deliver stronger impact results across three financial inclusion indicators.
Findings [SS1] also reveals opportunities to increase the value-add of non-financial support in financial inclusion. Methodology Sample Details on the benchmark's sample size and constitution can be found here. The GIIN will continue to expand the benchmark and welcomes investors to submit data for inclusion.
If you would like to be represented, please submit your impact results for your financial inclusion investments here. The GIIN team followed four steps to conduct standardized, comparable analysis on impact results across investments in financial inclusion, as follows: Define the decision needed: The GIIN seeks to enable investors to incorporate impact into the decision-making process, primarily as it relates to investment selection and management allowing investors to understand areas of underperformance and outperformance across investments within their financial inclusion portfolios.
Collect standardized impact information: The GIIN collected information related to investment context, investee context, and impact results from investors focused on financial inclusion. Additionally, the GIIN relied on third-party data sources, including Findex, the World Bank, and the ILO, and the UN Sustainable Development Goals to contextualize results relative to relevant social performance thresholds, thus assessing impact performance in relation to the global challenges investors seek to address.
The GIIN subsequently normalized impact results by multiplying each impact result by the ratio of investment amount outstanding to enterprise value, to arrive at a comparable scale and understand investments' proportional impact i. Where appropriate, the benchmark presents findings excluding outlier investments to ensure appropriate interpretation of the findings. To identify outliers, the GIIN team removed any data points outside the interquartile range IQR multiplied by for various segments of data presented.
This approach allows for more nuanced interpretations to best reflect the insight and impact results across the diverse sample included in the benchmark. The GIIN generated two analytic figures: Scale and Pace, where Scale refers to the absolute, year-on-year annualized change in impact result and Pace refers to the annual percent change in impact. Each analytic figure offers important nuance in understanding investment-level impact performance. At this time, data do not allow for analysis of impact Efficiency, or the amount of impact generated per dollar invested.
Apply insights: The GIIN built the impact performance benchmark as a series of dashboards to provide insight into aggregate performance and deep dives across KPIs, offering investors the opportunity to compare their own impact investment performance to peer groups using dynamic filters and to the pace of change required to achieve relevant SDGs.
Analytic figures presented in the benchmark Each KPI presented in the benchmark offers four impact performance figures to reflect nuanced angles of impact performance. Figures are calculated as follows: Investment-weighted figure: This reflects the normalized i. Investment-weighted results are calculated by multiplying a point-in-time impact result by the normalization ratio i.
For example, if an investee has 10, active clients using responsible financial services in and the normalization ratio is 0. Scale of change volume : This reflects the year-on-year volume of change in an impact result, based on unweighted impact results.
The GIIN team followed four steps to conduct standardized, comparable analysis on impact results across investments in financial inclusion, as follows: Define the decision needed: The GIIN seeks to enable investors to incorporate impact into the decision-making process, primarily as it relates to investment selection and management allowing investors to understand areas of underperformance and outperformance across investments within their financial inclusion portfolios.
Collect standardized impact information: The GIIN collected information related to investment context, investee context, and impact results from investors focused on financial inclusion. Additionally, the GIIN relied on third-party data sources, including Findex, the World Bank, and the ILO, and the UN Sustainable Development Goals to contextualize results relative to relevant social performance thresholds, thus assessing impact performance in relation to the global challenges investors seek to address.
The GIIN subsequently normalized impact results by multiplying each impact result by the ratio of investment amount outstanding to enterprise value, to arrive at a comparable scale and understand investments' proportional impact i. Where appropriate, the benchmark presents findings excluding outlier investments to ensure appropriate interpretation of the findings.
To identify outliers, the GIIN team removed any data points outside the interquartile range IQR multiplied by for various segments of data presented. This approach allows for more nuanced interpretations to best reflect the insight and impact results across the diverse sample included in the benchmark. The GIIN generated two analytic figures: Scale and Pace, where Scale refers to the absolute, year-on-year annualized change in impact result and Pace refers to the annual percent change in impact.
Each analytic figure offers important nuance in understanding investment-level impact performance. At this time, data do not allow for analysis of impact Efficiency, or the amount of impact generated per dollar invested. Apply insights: The GIIN built the impact performance benchmark as a series of dashboards to provide insight into aggregate performance and deep dives across KPIs, offering investors the opportunity to compare their own impact investment performance to peer groups using dynamic filters and to the pace of change required to achieve relevant SDGs.
Analytic figures presented in the benchmark Each KPI presented in the benchmark offers four impact performance figures to reflect nuanced angles of impact performance. Figures are calculated as follows: Investment-weighted figure: This reflects the normalized i. Investment-weighted results are calculated by multiplying a point-in-time impact result by the normalization ratio i.
For example, if an investee has 10, active clients using responsible financial services in and the normalization ratio is 0. Scale of change volume : This reflects the year-on-year volume of change in an impact result, based on unweighted impact results.
For example, if an investee has 10, active clients in and 8, active clients in , then the scale of change in volume would be 2, additional active clients each year. Pace of change percent : This reflects the year-on-year percent change in an impact result. Scale of change as a percent is calculated using unweighted impact results, given the inherent nature of percentages. For example, if an investee has 10, active clients in and 8, active clients in , then the scale of change as a percent would be 0.
Data availability and additional metrics As the benchmark grows, the GIIN commits to ongoing product refinements to ensure that analytics remain relevant, rigorous, credible, and useful.
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