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ETF Leveraged short strategy
TER
0.60% p.a.
Distribution policy
Accumulating
Replication
Synthetic
Fund size
EUR 13 m
Inception Date
18 June 2009
Overview
Description
The L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF seeks to track the FTSE 100 Short Leverage (2x) index. The FTSE 100 Short Leverage (x2) index tracks the two times leveraged inverse performance of FTSE 100 on a daily basis. The FTSE 100 index tracks the largest UK stocks.
Chart
Basics
Data
| Index | FTSE 100 Short Leverage (2x) |
| Investment focus | Equity, United Kingdom |
| Fund size | EUR 13 m |
| Total expense ratio | 0.60% p.a. |
| Replication | Synthetic (Unfunded swap) |
| Legal structure | ETF |
| Strategy risk | Short, Leverage |
| Sustainability | No |
| Fund currency | GBP |
| Currency risk | Currency unhedged |
| Volatility 1 year (in EUR) | 22.67% |
| Inception/ Listing Date | 18 June 2009 |
| 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 | NO |
| Germany | 30% tax rebate |
| Switzerland | No ESTV Reporting |
| Austria | Tax Reporting Fund |
| UK | UK Reporting |
| Indextype | Total return index |
| Swap counterparty | Merrill Lynch International |
| Collateral manager | BNY Mellon Fund Services (Ireland) Limited |
| Securities lending | No |
| Securities lending counterparty |
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Performance
Returns overview
| YTD | -34.52% |
| 1 month | -5.15% |
| 3 months | -11.03% |
| 6 months | -21.34% |
| 1 year | -35.01% |
| 3 years | -39.29% |
| 5 years | -63.87% |
| Since inception (MAX) | -97.96% |
| 2024 | -2.48% |
| 2023 | -4.94% |
| 2022 | -17.95% |
| 2021 | -28.16% |
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 | 22.67% |
| Volatility 3 years | 22.24% |
| Volatility 5 years | 25.40% |
| Return per risk 1 year | -1.54 |
| Return per risk 3 years | -0.69 |
| Return per risk 5 years | -0.72 |
| Maximum drawdown 1 year | -40.85% |
| Maximum drawdown 3 years | -45.45% |
| Maximum drawdown 5 years | -65.90% |
| Maximum drawdown since inception | -98.12% |
Rolling 1 year volatility
Stock exchange
Listings
| Listing | Trade Currency | Ticker | Bloomberg / iNAV Bloomberg Code | Reuters RIC / iNAV Reuters | Market Maker |
|---|---|---|---|---|---|
| London Stock Exchange | GBX | SUK2 | SUK2 LN NA | SUK2.L NA | Flow Traders B.V. |
| London Stock Exchange | GBP | - | SUK2 LN NA | SUK2.L NA | Flow Traders B.V. |
Further information
Latest articles
Frequently asked questions
What is the name of SUK2?
The name of SUK2 is L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF.
What is the ticker of L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF?
The primary ticker of L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF is SUK2.
What is the ISIN of L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF?
The ISIN of L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF is IE00B4QNK008.
What are the costs of L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF?
The total expense ratio (TER) of L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF amounts to 0.60% 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 L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF paying dividends?
L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF 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.
What's the fund size of L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF?
The fund size of L&G FTSE 100 Super Short Strategy (Daily 2x) UCITS ETF is 13m 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.