Amundi Pea Dow Jones Industrial Average Distribution -UCITS ETF USD-Amundi Pea Dow Jones Industrial Average Distribution -UCITS ETF USD-Amundi Pea Dow Jones Industrial Average Distribution -UCITS ETF USD-

Amundi Pea Dow Jones Industrial Average Distribution -UCITS ETF USD-

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Key stats


Assets under management (AUM)
‪125.31 M‬USD
Fund flows (1Y)
‪655.77 K‬USD
Dividend yield (indicated)
Discount/Premium to NAV
0.3%
Shares outstanding
‪239.95 K‬
Expense ratio
0.45%

About Amundi Pea Dow Jones Industrial Average Distribution -UCITS ETF USD-


Issuer
SAS Rue la Boétie
Brand
Amundi
Inception date
Mar 3, 2023
Structure
Luxembourg SICAV
Index tracked
Dow Jones Industrial Average Index - USD
Replication method
Synthetic
Management style
Passive
Primary advisor
Amundi Asset Management SAS
ISIN
LU2572256662
This Sub-Fund is passively managed. The objective of this SubFund is to track the performance of Dow Jones Industrial Average Index, and to minimize the tracking err between the net asset value of the SubFund and the performance of the Index.

Classification


Asset Class
Equity
Category
Size and style
Focus
Large cap
Niche
Broad-based
Strategy
Vanilla
Geography
U.S.
Weighting scheme
Market cap
Selection criteria
Market cap
What's in the fund
Exposure type
Stocks
Finance
Consumer Durables
Technology Services
Electronic Technology
Stock breakdown by region
13%86%
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
Displays a symbol's price movements over previous years to identify recurring trends.