Emerging Markets Fixed Income Indexes
FTSE Russell offers a range of fixed income indexes designed to measure the performance of bonds issued
across emerging markets globally. The indexes include local currency and US dollar-denominated bonds, as well
as inflation-linked, investment-grade and high yield bonds.
FTSE Emerging Markets Government
Bond Index (EMGBI)
- The index comprises local currency government bonds from 14 countries.
Its rules and methodologies are consistent with those of the FTSE World
Government Bond Index (WGBI) to enable performance comparisons across
sovereign debt markets.
FTSE Emerging Markets Inflation-
Linked Securities Index (EMILSI)
- The index measures the returns of inflation-linked bonds with fixed-rate
coupon payments that are linked to an inflation index. It tracks debt from
seven emerging market countries: Brazil, Chile, Colombia, Mexico, Poland,
South Africa and Turkey, denominated in their respective currencies.
FTSE Emerging Markets US Dollar
Government Bond Index (EMUSDGBI)
- The index includes US dollar-denominated emerging market sovereign debt
issued in the global, Yankee and Eurodollar markets. It comprises debt of
more than 50 countries from Latin America, Eastern Europe, Middle East,
Africa and Asia and offers geographical diversification without exposure to
local currency fluctuations.
FTSE Emerging Markets Broad Bond
- The index measures the performance of investment-grade and high yield
US dollar-denominated debt issued by governments, regional governments,
government-sponsored entities and corporations domiciled in over 60
FTSE Frontier Emerging Markets Government Bond Index Series (FRNTEMGBI)
- The index series measures the performance of fixed-rate, local currency government bond markets
that are classified as Frontier EM according to FTSE Russell. It is designed to provide transparency
to a universe of emerging local currency government bond markets that may not yet be considered
mainstream emerging markets, but are sufficiently investable for global portfolio managers
based on an objective set of technical criteria.