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TER
0.49% p.a.
Distribution policy
Accumulating
Replication
Synthetic
Fund size
GBP 16 m
Inception Date
6 July 2012
Overview
Description
The WisdomTree Industrial Metals - EUR Daily Hedged seeks to track the Bloomberg Industrial Metals (EUR Hedged) index. The Bloomberg Industrial Metals (EUR Hedged) index tracks commodities from the industrial metals segment. Currency hedged to Euro (EUR).
Chart
Basics
Data
| Index | Bloomberg Industrial Metals (EUR Hedged) |
| Investment focus | Commodities, Industrial Metals |
| Fund size | GBP 16 m |
| Total expense ratio | 0.49% p.a. |
| Replication | Synthetic (Swap-based) |
| Legal structure | ETC |
| Investment approach | Long-only |
| Sustainability | No |
| Fund currency | USD |
| Currency risk | Currency hedged |
| Volatility 1 year (in GBP) | 20.55% |
| Inception/ Listing Date | 6 July 2012 |
| Distribution policy | Accumulating |
| Distribution frequency | - |
| Fund domicile | Jersey |
| Fund Provider | WisdomTree |
| Fund Structure | - |
| UCITS compliance | No |
| Administrator | - |
| Investment Advisor | - |
| Custodian Bank | - |
| Revision Company | - |
| Fiscal Year End | - |
| Swiss representative | - |
| Swiss paying agent | - |
| Germany | Unknown |
| Switzerland | Unknown |
| Austria | Unknown |
| UK | Unknown |
| Italy | 26.0% |
| Indextype | - |
| Swap counterparty | - |
| Collateral manager | - |
| Securities lending | No |
| Securities lending counterparty | - |
Similar ETCs
This section provides you with information on other ETCs with a similar investment focus to the WisdomTree Industrial Metals - EUR Daily Hedged.
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How do you like our ETF profile? Here you'll find our Questionnaire.
Performance
Returns overview
| YTD | +10.64% |
| 1 month | +1.89% |
| 3 months | +7.34% |
| 6 months | +15.22% |
| 1 year | +29.19% |
| 3 years | +32.77% |
| 5 years | +15.99% |
| Since inception (MAX) | +7.47% |
| 2025 | +23.22% |
| 2024 | -4.38% |
| 2023 | -14.91% |
| 2022 | -1.27% |
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 | 20.55% |
| Volatility 3 years | 18.61% |
| Volatility 5 years | 21.51% |
| Return per risk 1 year | 1.42 |
| Return per risk 3 years | 0.53 |
| Return per risk 5 years | 0.14 |
| Maximum drawdown 1 year | -13.01% |
| Maximum drawdown 3 years | -22.19% |
| Maximum drawdown 5 years | -43.41% |
| Maximum drawdown since inception | -57.98% |
Rolling 1 year volatility
Stock exchange
Listings
| Listing | Trade Currency | Ticker | Bloomberg / iNAV Bloomberg Code | Reuters RIC / iNAV Reuters | Market Maker |
|---|---|---|---|---|---|
| Borsa Italiana | EUR | EIMT | - - | - - | - |
| XETRA | EUR | 00X0 | - - | - - | - |
| gettex | EUR | 00X0 | - - | - - | - |
Further information
Further ETCs with similar investment focus
| Fund name | Fund Size in m € (AuM) | TER p.a. | Distribution | Replication |
|---|---|---|---|---|
| WisdomTree Copper | 1,797 | 0.49% p.a. | Accumulating | Swap-based |
| WisdomTree Industrial Metals | 1,562 | 0.49% p.a. | Accumulating | Swap-based |
| WisdomTree Energy Transition Metals | 323 | 0.45% p.a. | Accumulating | Swap-based |
| WisdomTree Nickel | 142 | 0.49% p.a. | Accumulating | Swap-based |
| WisdomTree Strategic Metals UCITS ETF GBP Hedged Dist | 126 | 0.55% p.a. | Distributing | Swap-based |
Latest articles
Frequently asked questions
What is the name of 00X0?
The name of 00X0 is WisdomTree Industrial Metals - EUR Daily Hedged.
What is the ticker of WisdomTree Industrial Metals - EUR Daily Hedged?
The primary ticker of WisdomTree Industrial Metals - EUR Daily Hedged is 00X0.
What is the ISIN of WisdomTree Industrial Metals - EUR Daily Hedged?
The ISIN of WisdomTree Industrial Metals - EUR Daily Hedged is JE00B78NPW60.
What are the costs of WisdomTree Industrial Metals - EUR Daily Hedged?
The total expense ratio (TER) of WisdomTree Industrial Metals - EUR Daily Hedged amounts to 0.49% 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 WisdomTree Industrial Metals - EUR Daily Hedged?
The fund size of WisdomTree Industrial Metals - EUR Daily Hedged is 16m 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.