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TER
0.19% p.a.
Distribution policy
Accumulating
Replication
Synthetic
Fund size
GBP 370 m
Inception Date
22 May 2017
Overview
Description
The Invesco Bloomberg Commodity ex-Agriculture UCITS ETF Acc seeks to track the Bloomberg Commodity ex-Agriculture and Livestock index. The Bloomberg Commodity ex-Agriculture and Livestock tracks the price of futures contracts on a commodity basket without agriculture and livestock.
Documents
Chart
Basics
Data
| Index | Bloomberg Commodity ex-Agriculture and Livestock |
| Investment focus | Commodities, Broad market |
| Fund size | GBP 370 m |
| Total expense ratio | 0.19% p.a. |
| Replication | Synthetic (Unfunded swap) |
| Legal structure | ETF |
| Strategy risk | Long-only |
| Sustainability | No |
| Fund currency | USD |
| Currency risk | Currency unhedged |
| Volatility 1 year (in GBP) | 22.95% |
| Inception/ Listing Date | 22 May 2017 |
| Distribution policy | Accumulating |
| Distribution frequency | - |
| Fund domicile | Ireland |
| Fund Provider | Invesco |
| Fund Structure | Open-ended Investment Company (OEIC) |
| UCITS compliance | Yes |
| Administrator | Northern Trust International Fund Administration Services (Ireland) Limited |
| Investment Advisor | Invesco Capital Management LLC |
| Custodian Bank | Northern Trust Fiduciary Services (Ireland) Limited |
| Revision Company | PricewaterhouseCoopers |
| Fiscal Year End | 30 November |
| Swiss representative | BNP Paribas, Paris, succursale de Zurich |
| Swiss paying agent | BNP Paribas, Paris, succursale de Zurich |
| Germany | No tax rebate |
| Switzerland | ESTV Reporting |
| Austria | Tax Reporting Fund |
| UK | UK Reporting |
| Indextype | Total return index |
| Swap counterparty | Deutsche Bank|J.P. Morgan |
| Collateral manager | |
| Securities lending | No |
| Securities lending counterparty |
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Performance
Returns overview
| YTD | +25.50% |
| 1 month | -0.67% |
| 3 months | +15.01% |
| 6 months | +30.43% |
| 1 year | +43.97% |
| 3 years | +46.87% |
| 5 years | +106.45% |
| Since inception (MAX) | +107.20% |
| 2025 | +14.81% |
| 2024 | +9.69% |
| 2023 | -17.60% |
| 2022 | +31.76% |
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%.
Risk overview
| Volatility 1 year | 22.95% |
| Volatility 3 years | 18.89% |
| Volatility 5 years | 20.33% |
| Return per risk 1 year | 1.92 |
| Return per risk 3 years | 0.72 |
| Return per risk 5 years | 0.77 |
| Maximum drawdown 1 year | -10.12% |
| Maximum drawdown 3 years | -16.54% |
| Maximum drawdown 5 years | -33.53% |
| Maximum drawdown since inception | -33.53% |
Rolling 1 year volatility
Stock exchange
Listings
| Listing | Trade Currency | Ticker | Bloomberg / iNAV Bloomberg Code | Reuters RIC / iNAV Reuters | Market Maker |
|---|---|---|---|---|---|
| gettex | EUR | XAAG | - - | - - | - |
| XETRA | EUR | XAAG | XAAG GY XAAGIN | XAAG.DE 0TQCINAV.DE | Flow Traders |
Further information
Further ETFs on the Bloomberg Commodity ex-Agriculture and Livestock index
| Fund name | Fund Size in m € (AuM) | TER p.a. | Distribution | Replication |
|---|---|---|---|---|
| WisdomTree Broad Commodities Ex-Agriculture and Livestock | 5 | 0.49% p.a. | Accumulating | Swap-based |
Latest articles
Frequently asked questions
What is the name of XAAG?
The name of XAAG is Invesco Bloomberg Commodity ex-Agriculture UCITS ETF Acc.
What is the ticker of Invesco Bloomberg Commodity ex-Agriculture UCITS ETF Acc?
The primary ticker of Invesco Bloomberg Commodity ex-Agriculture UCITS ETF Acc is XAAG.
What is the ISIN of Invesco Bloomberg Commodity ex-Agriculture UCITS ETF Acc?
The ISIN of Invesco Bloomberg Commodity ex-Agriculture UCITS ETF Acc is IE00BYXYX521.
What are the costs of Invesco Bloomberg Commodity ex-Agriculture UCITS ETF Acc?
The total expense ratio (TER) of Invesco Bloomberg Commodity ex-Agriculture UCITS ETF 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 Invesco Bloomberg Commodity ex-Agriculture UCITS ETF Acc?
The fund size of Invesco Bloomberg Commodity ex-Agriculture UCITS ETF Acc is 370m GBP. See the following article for more information about the size of ETFs.
— 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.