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ETFs

Invesco BulletShares 2023 Corporate Bond ETF

BSCN
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
Sep 17 2014
Expense Ratio
0.10%
Type
US Bonds
Fund Owner
Invesco
Volume (1m avg. daily)
$14,790,851
AUM
$2,652,384,420
Associated Index
Nasdaq Bulletshares USD Corporate Bond 2023 Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
Yes
Prospectus
View

Top 10 Holdings

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Apple 2.4 % Notes 2013-3.5.23 Sr Global
2.18%
S/23
Sprint 7.875 % Notes 2014-15.9.23 Gtd Global Sr
1.84%
BA23A
Boeing Co. - 4.508% NT REDEEM 01/05/2023 USD 2000
1.30%
XOM23A
Exxon Mobil Corp. - 1.571% NT REDEEM 15/04/2023 USD 2000
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n/a
Oracle 2.4 % Notes 2016-15.09.23 Global
1.05%
WMTC
Walmart 3.4 % Notes 2018-26.06.23 Global
0.98%
n/a
M'bishi UFJ Finl 3.761 % Notes 2018-26.07.23 Global
0.92%
MS23A
Morgan Stanley - 4.10% NT REDEEM 22/05/2023 USD 1000
0.86%
HSBC23
HSBC Holdings plc - 3.60% NT REDEEM 25/05/2023 USD 200000
0.86%
Invest with BSCN

What is BSCN?

The Invesco BulletShares 2023 Corporate Bond ETF (Fund) is based on the Nasdaq Bulletshares USD Corporate Bond 2023 Index (Index). The Fund will invest at least 80% of its total assets in corporate bonds that comprise the Index. The Index is designed to represent the performance of a held-to-maturity portfolio of US dollar-denominated, investment-grade corporate bonds with effective maturities in 2023. The Fund does not purchase all of the securities in the Index; instead, the Fund utilizes a "sampling" methodology to seek to achieve its investment objective. The Fund and the Index are rebalanced monthly. The Fund has a designated year of maturity of 2023 and will terminate on or about Dec. 31, 2023.

ETFs related toBSCN

ETFs correlated to BSCN include BSCO, BSCP, BSCQ

BSCN
Invesco Capital Management LLC - Invesco BulletShares 2023 Corporate Bond ETF
BSCO
Invesco Capital Management LLC - Invesco BulletShares 2024 Corporate Bond ETF
BSCP
Invesco Capital Management LLC - Invesco BulletShares 2025 Corporate Bond ETF
BSCQ
Invesco Capital Management LLC - Invesco BulletShares 2026 Corporate Bond ETF
BSCR
Invesco Capital Management LLC - Invesco BulletShares 2027 Corporate Bond ETF
SUSB
iShares Trust - iShares Trust iShares ESG Aware 1-5 Year USD Corporate Bond ETF
SCHJ
Schwab Strategic Trust - Schwab 1-5 Year Corporate Bond ETF
VCSH
Vanguard Group, Inc. - Vanguard Short-Term Corporate Bond ETF
IGSB
BlackRock Institutional Trust Company N.A. - iShares Trust iShares 1-5 Year Investment Grade Corporate Bond ETF
IBDT
iShares Trust - iShares iBonds Dec 2028 Term Corporate ETF
SPSB
SSgA Active Trust - SPDR Portfolio Short Term Corporate Bond ETF

What is ETF correlation?

Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.

Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.

Using ETF correlations in portfolio and strategy construction

ETF correlations can help you create investing strategies and portfolios. Use them to:

  • •Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
  • •Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
  • •Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.

Automated Strategies
Related toBSCN

#INC

Dynamic Income

Category

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Risk Rating

Moderate

#DYNAM

Dynamic Stocks and Bonds

Category

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Risk Rating

Moderate

Create your own algorithmic trading strategy with BSCN using Composer

FAQ

BSCN is a US Bonds ETF. The Invesco BulletShares 2023 Corporate Bond ETF (Fund) is based on the Nasdaq Bulletshares USD Corporate Bond 2023 Index (Index). The Fund will invest at least 80% of its total assets in corporate bonds that comprise the Index. The Index is designed to represent the performance of a held-to-maturity portfolio of US dollar-denominated, investment-grade corporate bonds with effective maturities in 2023. The Fund does not purchase all of the securities in the Index; instead, the Fund utilizes a "sampling" methodology to seek to achieve its investment objective. The Fund and the Index are rebalanced monthly. The Fund has a designated year of maturity of 2023 and will terminate on or about Dec. 31, 2023.

BSCN tracks the Nasdaq Bulletshares USD Corporate Bond 2023 Index.

No, BSCN is not actively managed. It is passively managed. In an actively managed fund, the fund manager makes decisions about how funds are invested. A passively managed fund typically tries to track or follow a market index.

Yes, BSCN is passively managed. A passively managed fund typically tries to track or follow a market index. In an actively managed fund, the fund manager makes decisions about how funds are invested.

The 1-month return on BSCN is 0.0032%. This is the percent change in the value of BSCN over the most recent 1-month period. The 3-month return on BSCN is 0.0107%. This is the percent change in the value of BSCN over the most recent 3-month period.

The standard deviation of BSCN for the past year is 0.0128%. Standard deviation is the typical amount that the daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

ETFs similar to BSCN include HYG, JNK, and SPIB.

ETFs correlated to BSCN include BSCO, BSCP, and BSCQ.

ETFs that are inversely correlated to BSCN include SJB, TBX, and TYO.

Disclaimers

*

We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.

**

We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.