UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc

ISIN IE00B5B3W843

 | 

WKN A1C79W

TER
0.19% p.a.
Distribution policy
Accumulating
Replication
Swap-based
Fund size
55 m
 

Overview

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Description

The UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc seeks to track the Bloomberg Commodity index. The Bloomberg Commodity index tracks the price of futures contracts on commodities, representing the following commodity sectors: energy, precious metals, industrial metals, livestock and agriculture.
 
The ETF's TER (total expense ratio) amounts to 0.19% p.a.. The ETF replicates the performance of the underlying index synthetically with a swap.
 
The UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc is a small ETF with 55m Euro assets under management. The ETF was launched on 1 February 2011 and is domiciled in Ireland.
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Chart

Basics

Data

Fund size
EUR 55 m
Total expense ratio
0.19% p.a.
Replication Synthetic (Swap-based)
Legal structure ETF
Strategy risk Long-only
Fund currency USD
Currency risk Currency unhedged
Volatility 1 year (in EUR)
12.37%
Inception/ Listing Date 1 February 2011
Distribution policy Accumulating
Distribution frequency -
Fund domicile Ireland
Fund Provider UBS ETF
Tax data Bundesanzeiger
Germany No tax rebate
Switzerland ESTV Reporting
Austria Tax Reporting Fund
UK UK Reporting
Indextype Total return index
Swap counterparty UBS AG
Collateral manager
Securities lending No
Securities lending counterparty

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This section provides you with information on other ETFs with a similar investment focus to the UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc.
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How do you like our new ETF profile? Here you'll find our Questionnaire.

Performance

Returns overview

YTD +9.36%
1 month +6.02%
3 months +9.59%
6 months -0.51%
1 year +2.93%
3 years +44.68%
5 years +46.14%
Since inception (MAX) -9.29%
2023 -11.24%
2022 +23.10%
2021 +37.32%
2020 -11.60%

Monthly returns in a heat map

Risk

Risk metrics in this section:
 
  • Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
  • Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
  • Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.
ETF returns include dividend payments (if applicable).
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Risk overview

Volatility 1 year 12.37%
Volatility 3 years 17.65%
Volatility 5 years 16.67%
Return per risk 1 year 0.24
Return per risk 3 years 0.74
Return per risk 5 years 0.47
Maximum drawdown 1 year -10.74%
Maximum drawdown 3 years -25.90%
Maximum drawdown 5 years -25.90%
Maximum drawdown since inception -56.04%

Rolling 1 year volatility

Stock exchange

Listings

Listing Trade Currency Ticker Bloomberg /
iNAV Bloomberg Code
Reuters RIC /
iNAV Reuters
Market Maker
SIX Swiss Exchange USD DCUSAS DCUSAS SW
IDCUSASS
DCUSAS.S
DCUSASUSDINAV=SOLA
UBS AG

Further information

Further ETFs on the Bloomberg Commodity index

Fund name Fund Size in m € (AuM) TER p.a. Distribution Replication
iShares Diversified Commodity Swap UCITS ETF 1,358 0.19% p.a. Accumulating Swap-based
iShares Diversified Commodity Swap UCITS ETF (DE) 272 0.46% p.a. Accumulating Swap-based
WisdomTree Broad Commodities UCITS ETF 248 0.19% p.a. Accumulating Swap-based
WisdomTree Broad Commodities 81 0.49% p.a. Accumulating Swap-based
L&G All Commodities UCITS ETF 62 0.15% p.a. Accumulating Swap-based

Frequently asked questions

What is the name of DCUSAS?

The name of DCUSAS is UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc.

What is the ticker of UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc?

The primary ticker of UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc is DCUSAS.

What is the ISIN of UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc?

The ISIN of UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc is IE00B5B3W843.

What are the costs of UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc?

The total expense ratio (TER) of UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc amounts to 0.19% p.a.. These costs are withdrawn continuously from the fund assets and already included in the performance of the ETF. You don't have to pay them separately. Please have a look at our article for more information about the cost of ETFs.

What's the fund size of UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc?

The fund size of UBS ETF (IE) Bloomberg Commodity Index SF UCITS ETF (USD) A-acc is 55m Euro. See the following article for more information about the size of ETFs.

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— Data provided by Trackinsight, etfinfo, Xignite Inc., gettex, FactSet and justETF GmbH.

Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.