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<strong>Impact</strong> Investments:<br />

An emerging asset class<br />

Global Research<br />

29 November 2010<br />

Appendix V: Additional returns data<br />

Figure 27: Sector distribution of notional<br />

MF<br />

11%<br />

EI<br />

12%<br />

SE<br />

5%<br />

FT<br />

1%<br />

AH<br />

28%<br />

CDFI<br />

43%<br />

Source: Calvert Foundation, J.P. Morgan.<br />

CDFI = Community development finance institution;<br />

AH = Affordable housing; MF = Microfinance;<br />

EI = Environmental initiative; SE = <strong>Social</strong> enterprise;<br />

FT = Fair trade<br />

In depth: US-based fixed income reveal a flat (but disperse) range of yields<br />

Characteristics of the data set: Instruments, sectors, geographies<br />

While the GIIN survey represents a broad spectrum of impact investments across<br />

sector and instrument type, we have also been granted access to a set of data on fixed<br />

income investments that spans a longer history. The data set, provided by Calvert<br />

Foundation 115 , covers 1,587 predominantly fixed-rate debt investments going back as<br />

far as 1990 and totaling $1.385bn in notional. There are three instrument types with<br />

enough data to explore, and the distribution of deals and notionals across instrument<br />

type is shown in Table 25. The investments themselves span sectors including<br />

community development finance initiatives (“CDFIs”), affordable housing,<br />

environmental initiatives, fair trade, microfinance, and social enterprise. Figure 27<br />

shows the distribution of sectors across the data set, and Table 26 shows the data in<br />

terms of number of deals as well as notional.<br />

The geographic distribution of this data set is heavily focused on investments in the<br />

US, representing 91% of the deals and 94% of the notional in the database. The<br />

investments in the US tend to target companies in poor communities that either<br />

provide basic services such as housing to low-income families or hire underemployed<br />

people in these communities. Table 27 shows the number of deals and<br />

notional invested in the most commonly referenced countries in the database. After<br />

the US, Nicaragua, Ecuador, Azerbaijan and Bolivia are most frequently represented,<br />

albeit only by 1% of the total notional each. The remaining deals were done in 26<br />

other countries.<br />

Table 25: Instrument distribution<br />

# of<br />

deals<br />

Notional<br />

(USD mm)<br />

Debt — Fixed Rate 1,492 1,228<br />

Debt — Variable Rate 63 86<br />

Debt — LOC 32 55<br />

Total 1,587 1,369<br />

Source: Calvert Foundation, J.P. Morgan.<br />

Table 26: Sector distribution<br />

# of<br />

deals<br />

Notional<br />

(USD mm)<br />

CDFI 870 588<br />

Affordable Housing 225 386<br />

Microfinance 195 146<br />

Environment 165 161<br />

<strong>Social</strong> Enterprise 80 72<br />

Fair Trade 52 15<br />

Total 1,587 1,369<br />

Source: Calvert Foundation, J.P. Morgan.<br />

Table 27: Geographic distribution<br />

# of<br />

deals<br />

Notional<br />

(USD mm)<br />

United States 1,437 1,294<br />

Nicaragua 29 11<br />

Ecuador 27 19<br />

Azerbaijan 20 9<br />

Bolivia 11 10<br />

Other 63 28<br />

Total 1,587 1,369<br />

Source: Calvert Foundation, J.P. Morgan.<br />

Illustrating the yield curves<br />

Based on our characterization above, we can see that this data set is a subset of the<br />

impact investment space focused on US-based fixed income investments. Given this<br />

context, we can now look at the financial information revealed by the data set. The<br />

most interesting characteristics are the interest rates charged across tenors for the<br />

various instruments. Essentially, by plotting the interest rates against tenor for the<br />

data sets by instruments in Figure 28, Figure 29, and Figure 30, we look to see<br />

whether an impact investment yield curve emerges. Interestingly, there is not much<br />

of a yield curve at all, but rather a fairly disperse range of interest rates. This<br />

115 This is a set of transactions that borrowers from the Calvert Foundation have engaged in.<br />

83

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