WisdomTree US Treasuries 10Y 3x Daily Leveraged

ISIN IE00BKT09032

TER
0.30% p.a.
Distribution policy
Accumulating
Replication
Synthetic
Fund size
EUR 8 m
Inception Date
8 December 2014
 

Overview

Description

The WisdomTree US Treasuries 10Y 3x Daily Leveraged seeks to track the BNP Paribas US Treasury Note 10Y Rolling Future Leverage (3x) index. The BNP Paribas US Treasury Note 10Y Rolling Future Leverage (3x) index tracks the three times leveraged performance of the BNP Paribas US Treasury Note 10Y Rolling Future index. The BNP Paribas US Treasury Note 10Y Rolling Future index tracks 10-Year US Treasury Note futures, which provide access to US government bonds with a maturity of 6.5-10 years.
 
The ETN's TER (total expense ratio) amounts to 0,30% p.a.. The ETN replicates the performance of the underlying index synthetically with a swap. The interest income (coupons) in the ETN is accumulated and reinvested in the ETF.
 
The WisdomTree US Treasuries 10Y 3x Daily Leveraged is a very small ETN with 8m Euro assets under management. The ETN was launched on 8 December 2014 and is domiciled in Ierland.
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Chart

Basics

Data

Index
BNP Paribas US Treasury Note 10Y Rolling Future Leverage (3x)
Investment focus
Obligaties, USD, Verenigde Staten, Overheid, 7-10
Fund size
EUR 8 m
Total expense ratio
0,30% p.a.
Replication Synthetic (Swap-based)
Legal structure ETN
Strategy risk Leverage
Sustainability No
Fund currency USD
Currency risk Currency unhedged
Volatility 1 year (in EUR)
15,90%
Inception/ Listing Date 8 december 2014
Distribution policy Accumulating
Distribution frequency -
Fund domicile Ierland
Fund Provider WisdomTree
Germany Onbekend
Switzerland Onbekend
Austria Onbekend
UK Onbekend
Indextype -
Swap counterparty -
Collateral manager -
Securities lending No
Securities lending counterparty -

Similar ETNs

This section provides you with information on other ETNs with a similar investment focus to the WisdomTree US Treasuries 10Y 3x Daily Leveraged.
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How do you like our ETF profile? Here you'll find our Questionnaire.

Performance

Returns overview

YTD -1.75%
1 month -2.18%
3 months -5.87%
6 months +1.66%
1 year -2.67%
3 years -18.93%
5 years -43.58%
Since inception (MAX) -19.41%
2025 -1.66%
2024 -5.97%
2023 -5.34%
2022 -33.07%

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%.
ETF returns include dividend payments (if applicable).
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Risk overview

Volatility 1 year 15.90%
Volatility 3 years 17.95%
Volatility 5 years 18.65%
Return per risk 1 year -0.17
Return per risk 3 years -0.38
Return per risk 5 years -0.58
Maximum drawdown 1 year -13.20%
Maximum drawdown 3 years -25.50%
Maximum drawdown 5 years -47.86%
Maximum drawdown since inception -54.93%

Rolling 1 year volatility

Stock exchange

Listings

Listing Trade Currency Ticker Bloomberg /
iNAV Bloomberg Code
Reuters RIC /
iNAV Reuters
Market Maker
Borsa Italiana EUR 3TYL -
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-
-
-
London Stock Exchange GBX 3TYL -
-
-
-
-
gettex EUR 3TYL -
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-
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-

Further information

Further ETNs with similar investment focus

Fund name Fund Size in m € (AuM) TER p.a. Distribution Replication
Leverage Shares 5x Long 20+ Year Treasury Bond ETP 21 0.75% p.a. Accumulating Swap-based
WisdomTree US Treasuries 10Y 3x Daily Short 2 0.30% p.a. Accumulating Swap-based

Frequently asked questions

What is the name of -?

The name of - is WisdomTree US Treasuries 10Y 3x Daily Leveraged.

What is the ticker of WisdomTree US Treasuries 10Y 3x Daily Leveraged?

The primary ticker of WisdomTree US Treasuries 10Y 3x Daily Leveraged is -.

What is the ISIN of WisdomTree US Treasuries 10Y 3x Daily Leveraged?

The ISIN of WisdomTree US Treasuries 10Y 3x Daily Leveraged is IE00BKT09032.

What are the costs of WisdomTree US Treasuries 10Y 3x Daily Leveraged?

The total expense ratio (TER) of WisdomTree US Treasuries 10Y 3x Daily Leveraged 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 WisdomTree US Treasuries 10Y 3x Daily Leveraged?

The fund size of WisdomTree US Treasuries 10Y 3x Daily Leveraged is 8m Euro. See the following article for more information about the size of ETFs.

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— 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.