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Invesco USD IG Corporate Bond ESG UCITS ETF USDInvesco USD IG Corporate Bond ESG UCITS ETF USDInvesco USD IG Corporate Bond ESG UCITS ETF USD

Invesco USD IG Corporate Bond ESG UCITS ETF USD

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Overview
Analysis Discussions Technicals Seasonals

PUIG chart


Full chart

Key stats


Assets under management (AUM)
‪25.89 M‬ EUR
Fund flows (1Y)
‪10.41 M‬ EUR
Dividend yield (indicated)
4.82%
Discount/Premium to NAV
1.3%
Shares outstanding
‪1.45 M‬
Expense ratio
0.10%

About Invesco USD IG Corporate Bond ESG UCITS ETF USD


Issuer
Invesco Ltd.
Brand
Invesco
Home page
etf.invesco.com
Inception date
Nov 15, 2017
Structure
Irish VCIC
Index tracked
Bloomberg Barclays USD IG Corporate Liquidity Screened Bond Index
Replication method
Physical
Management style
Passive
ISIN
IE00BF51K025
The investment objective of the Fund is to achieve the total return performance of the Bloomberg MSCI USD Liquid Corporate ESG Weighted Bond Index (the Reference Index) less fees, expenses and transaction costs.

Classification


Asset Class
Fixed income
Category
Corporate, broad-based
Focus
Investment grade
Niche
Broad maturities
Strategy
Vanilla
Geography
Global
Weighting scheme
Market value
Selection criteria
Market value

PUIG analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Corporate
Bonds, Cash & Other100.00%
Corporate100.54%
Cash−0.54%

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.