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JPPS
JPM USD Ultra-Short Income UCITS ETF USD
JPPS
Deutsche Borse Xetra
JPPS
Deutsche Borse Xetra
JPPS
Deutsche Borse Xetra
JPPS
Deutsche Borse Xetra
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
JPPS
chart
Price
NAV
More
Full chart
1 day
−0.48%
5 days
0.86%
1 month
1.73%
6 months
0.55%
Year to date
2.71%
1 year
−0.54%
5 years
2.79%
All time
15.25%
Key stats
Assets under management (AUM)
96.92 M
EUR
Fund flows (1Y)
−21.93 M
EUR
Dividend yield (indicated)
5.28%
Discount/Premium to NAV
1.4%
About JPM USD Ultra-Short Income UCITS ETF USD
Issuer
JPMorgan Chase & Co.
Brand
JPMorgan
Expense ratio
0.18%
Home page
am.jpmorgan.com
Inception date
Feb 15, 2018
Index tracked
No Underlying Index
Management style
Active
ISIN
IE00BDFC6Q91
The Sub-Fund aims to provide current income while seeking to maintain a low volatility of principal.
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Classification
Asset Class
Fixed income
Category
Broad market, broad-based
Focus
Investment grade
Niche
Ultra-short term
Strategy
Active
Weighting scheme
Proprietary
Selection criteria
Proprietary
JPPS
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Corporate
Cash
Stocks
0.21%
Finance
0.21%
Bonds, Cash & Other
99.67%
Corporate
85.91%
Cash
10.01%
Securitized
2.20%
Government
1.56%
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.