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Social Impact Investing

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SOCIAL IMPACT INVESTMENT: BUILDING THE EVIDENCE BASE<br />

Box 6.3. Benchmarking SII: EngagedX<br />

EngagedX collects SII transaction data with the objective of aggregating it into time-series market data that can<br />

be used to benchmark the performance of individual investments, funds or capital managers. Anonymised transaction<br />

data is being shared by leading SII intermediaries and fund managers in the UK, with plans to scale globally.<br />

EngagedX has been commissioned by the <strong>Social</strong> Investment Research Council (comprising Big Lottery Fund, Big<br />

Society Capital, the Cabinet Office, Citi and The City of London Corporation) to assemble a dataset of historic<br />

performance of the UK market. This dataset will bring together comparative data about outturn risk and returns of<br />

investments in relation to capital pricing.<br />

Data is collected and normalised according to a reporting framework developed collaboratively by EngagedX and<br />

industry practitioners. This helps categorise and compare transactions according to a number of characteristics,<br />

including product type, risk banding, sectors, investor and investee characteristics as well as the nature of social<br />

outcomes. The figure below depicts the high level architecture of the EngagedX data model.<br />

Source: EngagedX Investment STandards (EXIST), Version 2.2.2 (5 June 2014)<br />

The resulting information will help showcase the risk-return profiles of SII in relation to mainstream capital<br />

markets. It will also identify the different drivers of social and financial performance in SII as well as how risk-return<br />

benchmarks vary across different social areas, geography or other relevant market segmentation.<br />

Source : http://www.engagedinvestment.com, accessed on July 18, 2014<br />

6.35 Surveys have also been used to gather information on intermediaries. An example can be found<br />

in the <strong>Impact</strong> <strong>Investing</strong> 2.0 initiative (see Box 6.5), in which 30 out of 350 funds analysed met the criteria<br />

to be considered social impact investment, and 12 were selected for in-depth analysis. The samples are<br />

small and not necessarily representative of the market, but these efforts are useful in helping to build the<br />

evidence base.<br />

6.36 As noted earlier, associations and sector networks can play an important role as data providers.<br />

Establishing the parallel to the venture capital market discussed earlier in this paper, most of the current<br />

transaction data sources are venture capital associations (e.g. EVCA in Europe or NVCA in the US). These<br />

© OECD 2015 91

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