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TER
0.30% p.a.
Distribution policy
Accumulating
Replication
Synthetic
Fund size
EUR 340 m
Inception Date
18 March 2010
Overview
Description
The L&G Longer Dated All Commodities UCITS ETF seeks to track the Bloomberg Commodity 3 Month Forward index. The Bloomberg Commodity 3 Month Forward index tracks the price of futures contracts on commodities, representing the following commodity sectors: energy, precious metals, industrial metals, livestock and agriculture. The index is a forward index that represents the Bloomberg Commodity index three months in future.
Chart
Basics
Data
| Index | Bloomberg Commodity 3 Month Forward |
| Investment focus | Commodities, Broad market, World |
| Fund size | EUR 340 m |
| Total expense ratio | 0.30% 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 EUR) | 14.85% |
| Inception/ Listing Date | 18 March 2010 |
| Distribution policy | Accumulating |
| Distribution frequency | - |
| Fund domicile | Ireland |
| Fund Provider | Legal & General (LGIM) |
| Fund Structure | Public Limited Company |
| UCITS compliance | Yes |
| Administrator | BNY Mellon Fund Services (Ireland) Designated Activity Company |
| Investment Advisor | Legal & General Investment Management Limited |
| Custodian Bank | BNY Mellon Trust Company (Ireland) Limited |
| Revision Company | Ernst & Young |
| Fiscal Year End | 30 June |
| Swiss representative | State Street Bank International GmbH, Munich, Zurich Branch |
| Swiss paying agent | Skandinaviska Enskilda Banken AB (publ) |
| Germany | Tax transparent |
| Switzerland | No ESTV Reporting |
| Austria | Non-Tax Reporting Fund |
| UK | UK Reporting |
| Indextype | Total return index |
| Swap counterparty | Barclays Bank plc |
| Collateral manager | BNY Mellon Fund Services (Ireland) Limited |
| Securities lending | No |
| Securities lending counterparty |
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Performance
Returns overview
| YTD | -15.62% |
| 1 month | +3.38% |
| 3 months | -15.28% |
| 6 months | -12.44% |
| 1 year | -14.94% |
| 3 years | -16.73% |
| 5 years | -27.99% |
| Since inception (MAX) | - |
| 2024 | +10.07% |
| 2023 | -5.42% |
| 2022 | -8.90% |
| 2021 | +15.96% |
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 | 14.85% |
| Volatility 3 years | 12.26% |
| Volatility 5 years | 13.46% |
| Return per risk 1 year | -1.00 |
| Return per risk 3 years | -0.48 |
| Return per risk 5 years | -0.47 |
| Maximum drawdown 1 year | - |
| Maximum drawdown 3 years | - |
| Maximum drawdown 5 years | - |
| Maximum drawdown since inception | - |
Rolling 1 year volatility
Stock exchange
Listings
| Listing | Trade Currency | Ticker | Bloomberg / iNAV Bloomberg Code | Reuters RIC / iNAV Reuters | Market Maker |
|---|---|---|---|---|---|
| Stuttgart Stock Exchange | EUR | ETL2 | - - | - - | - |
| XETRA | EUR | ETL2 | ICOMF | .INCMF |
Further information
Further ETFs on the Bloomberg Commodity 3 Month Forward index
| Fund name | Fund Size in m € (AuM) | TER p.a. | Distribution | Replication |
|---|---|---|---|---|
| L&G Longer Dated All Commodities UCITS ETF | 577 | 0.30% p.a. | Accumulating | Swap-based |
| WisdomTree Broad Commodities Longer Dated | 2 | 0.49% p.a. | Accumulating | Swap-based |
Latest articles
Frequently asked questions
What is the name of ETL2?
The name of ETL2 is L&G Longer Dated All Commodities UCITS ETF.
What is the ticker of L&G Longer Dated All Commodities UCITS ETF?
The primary ticker of L&G Longer Dated All Commodities UCITS ETF is ETL2.
What is the ISIN of L&G Longer Dated All Commodities UCITS ETF?
The ISIN of L&G Longer Dated All Commodities UCITS ETF is DE000A1CXBV8.
What are the costs of L&G Longer Dated All Commodities UCITS ETF?
The total expense ratio (TER) of L&G Longer Dated All Commodities UCITS ETF amounts to 0.30% 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 L&G Longer Dated All Commodities UCITS ETF?
The fund size of L&G Longer Dated All Commodities UCITS ETF is 340m Euro. 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.