PIMCO Short-Term High Yield Corporate Bond Index Source UCITS ETF (Accumulating)

Product description

The PIMCO Short-Term High Yield Corporate Bond Index Source UCITS ETF (Accumulating) aims to replicate the performance (before fees and expenses) of the BofA Merrill Lynch 0-5 Year US High Yield Constrained IndexSM by investing in a range of securities broadly similar to the constituents of the index.The Fund seeks to achieve the yield, volatility level, and low or negative correlations with other asset classes inherent in short maturity high yield. The portfolio manager is Andrew Jessop.

Trading information

London Stock Exchange
Trading currency USD
Settlement period T+2
Exchange ticker STYC
Bloomberg ticker STYC LN
Bloomberg iNAV INSTYC
Reuters ticker STYC.L
Reuters iNAV INSTYCiv.OQ
WKN A14PHH
Sedol BX9C1S2
Today (25 Feb 2017)
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SIX Swiss Exchange
Trading currency USD
Settlement period T+2
Exchange ticker STYC
Bloomberg ticker STYC SW
Bloomberg iNAV INSTYC
Reuters ticker STYC.S
Reuters iNAV INSTYCiv.OQ
Valor 27252982
Today (25 Feb 2017)
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Portfolio information (23 Feb 2017)
Effective maturity 3.04
Effective duration 1.88
Average quality BA
Yield information (23 Feb 2017)
Estimated YTM 5.80%
Distribution yield 0.00%
Current yield 5.60%
Sector Exposure (23 Feb 2017)
Mortgage spread duration 0.00
Corporate spread duration 2.32
EM spread duration 0.02

Key information

Bloomberg ticker STYC LN
ISIN IE00BVZ6SQ11
Benchmark BBG ticker HUCD
Management fee 0.55%
NAV (24 Feb 2017) $109.58
AUM $72,850,100

The performance information on this web page refers to past performance. Past performance is not a reliable indicator of future returns.

The data shown on this page is not real-time, i.e. it may be delayed due to mandatory requirements of the data provider. As a consequence, the price of the product linked to a specific underlying you are quoted by your broker or intermediary may substantially differ from the price of the product that you would expect on the basis of the data displayed on this site. Source UK Services Limited accepts no responsibility for loss, however caused, resulting from errors in this data.