Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc
ISIN IE000QU8JEH5
|Ticker AI4U
TER
0.38% p.a.
Distribution policy
Accumulating
Replication
Swap-based
Fund size
- m
Overview
Description
The Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc seeks to track the MarketVector Artificial Intelligence ESG index. The MarketVector Artificial Intelligence ESG index tracks the performance of companies that have a distinct portion of their business and revenue derived from the field of Artificial Intelligence. The stocks included are filtered according to ESG criteria (environmental, social and corporate governance).
Chart
Basics
Data
| Index | MarketVector Artificial Intelligence ESG |
| Investment focus | Equity, World, Technology, Social/Environmental |
| Fund size | GBP - m |
| Total expense ratio | 0.38% p.a. |
| Replication | Synthetic (Swap-based) |
| Legal structure | ETF |
| Strategy risk | Long-only |
| Sustainability | Yes |
| Fund currency | EUR |
| Currency risk | Currency unhedged |
| Volatility 1 year (in GBP) | 18.33% |
| Inception/ Listing Date | 26 October 2023 |
| Distribution policy | Accumulating |
| Distribution frequency | - |
| Fund domicile | Ireland |
| Fund Provider | Fineco AM |
| Fund Structure | Open-ended Investment Company (OEIC) |
| UCITS compliance | Yes |
| Administrator | BNP Paribas Security Services |
| Investment Advisor | |
| Custodian Bank | BNP Paribas Securities Services Dublin Branch |
| Revision Company | - |
| Fiscal Year End | 31 December |
| Swiss representative | NO |
| Swiss paying agent | NO |
| Germany | Unknown |
| Switzerland | Unknown |
| Austria | Unknown |
| UK | Unknown |
| Indextype | - |
| Swap counterparty | - |
| Collateral manager | |
| Securities lending | No |
| Securities lending counterparty |
Similar ETFs
This section provides you with information on other ETFs with a similar investment focus to the Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc.
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How do you like our ETF profile? Here you'll find our Questionnaire.
Performance
Returns overview
| YTD | +21.93% |
| 1 month | +11.32% |
| 3 months | +19.38% |
| 6 months | +17.04% |
| 1 year | +29.43% |
| 3 years | - |
| 5 years | - |
| Since inception (MAX) | +44.09% |
| 2023 | - |
| 2022 | - |
| 2021 | - |
| 2020 | - |
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 | 18.33% |
| Volatility 3 years | - |
| Volatility 5 years | - |
| Return per risk 1 year | 1.60 |
| Return per risk 3 years | - |
| Return per risk 5 years | - |
| Maximum drawdown 1 year | -9.94% |
| Maximum drawdown 3 years | - |
| Maximum drawdown 5 years | - |
| Maximum drawdown since inception | -9.94% |
Rolling 1 year volatility
Stock exchange
Listings
| Listing | Trade Currency | Ticker | Bloomberg / iNAV Bloomberg Code | Reuters RIC / iNAV Reuters | Market Maker |
|---|---|---|---|---|---|
| Borsa Italiana | EUR | AI4U | - - | - - | - |
Further information
Further ETFs with similar investment focus
| Fund name | Fund Size in m € (AuM) | TER p.a. | Distribution | Replication |
|---|---|---|---|---|
| Xtrackers Artificial Intelligence & Big Data UCITS ETF 1C | 3,825 | 0.35% p.a. | Accumulating | Full replication |
| WisdomTree Artificial Intelligence UCITS ETF USD Acc | 734 | 0.40% p.a. | Accumulating | Full replication |
| L&G Artificial Intelligence UCITS ETF | 701 | 0.49% p.a. | Accumulating | Full replication |
| Invesco Artificial Intelligence Enablers UCITS ETF Acc | 2 | 0.35% p.a. | Accumulating | Full replication |
Frequently asked questions
What is the name of AI4U?
The name of AI4U is Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc.
What is the ticker of Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc?
The primary ticker of Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc is AI4U.
What is the ISIN of Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc?
The ISIN of Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc is IE000QU8JEH5.
What are the costs of Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc?
The total expense ratio (TER) of Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc amounts to 0.38% 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.
Is Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc paying dividends?
Fineco AM MarketVector Artificial Intelligence ESG UCITS ETF Class A Acc is an accumulating ETF. This means that dividends are not distributed to investors. Instead, dividends are reinvested in the fund on the ex-date, which leads to an increase of the ETF's share price.
— 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.