Cyber Monday saleUp to 70% OFF
VANGUARD FUNDS PLC USD EMG MKTS GOV BD UCITS ETF USD ACC(GBVANGUARD FUNDS PLC USD EMG MKTS GOV BD UCITS ETF USD ACC(GBVANGUARD FUNDS PLC USD EMG MKTS GOV BD UCITS ETF USD ACC(GB

VANGUARD FUNDS PLC USD EMG MKTS GOV BD UCITS ETF USD ACC(GB

No trades
See on Supercharts
Overview
Analysis Discussions Technicals Seasonals

VDEA chart


Full chart

Key stats


Assets under management (AUM)
‪543.03 M‬ USD
Fund flows (1Y)
‪237.63 M‬ USD
Dividend yield (indicated)
—
Discount/Premium to NAV
0.4%

About VANGUARD FUNDS PLC USD EMG MKTS GOV BD UCITS ETF USD ACC(GB


Issuer
The Vanguard Group, Inc.
Brand
Vanguard
Expense ratio
0.25%
Home page
vanguard.co.uk
Inception date
Feb 19, 2019
Index tracked
Bloomberg EM USD Sovereign + Quasi-Sov
Management style
Passive
ISIN
IE00BGYWCB81
The Fund seeks to track the performance of the Bloomberg Barclays EM USD Sovereign + Quasi-Sov Index (the Index).

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

VDEA analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Government
Corporate
Stocks0.16%
Finance0.16%
Non-Energy Minerals0.01%
Bonds, Cash & Other99.84%
Government63.53%
Corporate36.31%

Technicals

Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy

Seasonals


Displays a symbol's price movements over previous years to identify recurring trends.