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VEMT
VANGUARD USD EM MKTS GOVT BOND UCITS ETF
VEMT
Euronext Milan
VEMT
Euronext Milan
VEMT
Euronext Milan
VEMT
Euronext Milan
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
VEMT
chart
Price
NAV
More
Full chart
1 day
−0.23%
5 days
−0.11%
1 month
−0.63%
6 months
3.16%
Year to date
6.20%
1 year
5.95%
5 years
−14.42%
All time
−6.67%
Key stats
Assets under management (AUM)
502.43 M
EUR
Fund flows (1Y)
53.08 M
EUR
Dividend yield (indicated)
5.86%
Discount/Premium to NAV
0.1%
About VANGUARD USD EM MKTS GOVT BOND UCITS ETF
Issuer
The Vanguard Group, Inc.
Brand
Vanguard
Expense ratio
0.25%
Home page
vanguard.co.uk
Inception date
Dec 6, 2016
Index tracked
Bloomberg EM USD Sovereign + Quasi-Sov
Management style
Passive
ISIN
IE00BZ163L38
The Fund seeks to track the performance of the Bloomberg Barclays EM USD Sovereign + Quasi-Sov Index (the Index).
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Classification
Asset Class
Fixed income
Category
Government, non-native currency
Focus
Broad credit
Niche
Broad maturities
Strategy
Vanilla
Weighting scheme
Market value
Selection criteria
U.S. dollar - denominated
VEMT
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Government
Corporate
Stocks
0.14%
Finance
0.14%
Bonds, Cash & Other
99.86%
Government
63.59%
Corporate
36.27%
Technicals
Summarizing what the indicators are
suggesting.
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Seasonals
Displays a symbol's price movements over previous years to identify recurring trends.