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IShares Floaties

BlockRock actively managed floaties ETF

BlackRock is launching an actively managed floating rate note ETF, as interest rates creep gradually higher.

 

The BlackRock Floating Rate Loan ETF (BRLN) is run by BlackRock’s global credit team. It takes an unconstrained approach, investing in floaties of any credit quality, duration, type, and issuer – so long as they’re in US dollars. It can also invest in derivatives of any kind, convertibles, or even other BlackRock ETFs and funds.

A superficial look at the portfolio holdings suggests a strong tilt towards junk-grade credits and notes.

 

The fund charges 0.55%.

 

Bernie’s commentary – nice niche, but what’s the USP?

BlackRock has clearly done its market research.

 

Floating rate ETFs are one of those remarkably successful niches that most people find too boring to study closely. There’s over $45 billion of AUM stashed inside them and yet there’s only 23 floating rate ETFs listed on US exchanges. This means the average floating rate ETF has something like $2 billion under management. Better yet: every single one of them has enough assets to be profitable. What is more, BlackRock itself is one of the primary winners here. Its FLOT ETF has almost $10 billion in AUM. While TFLO has about $3.5 billion.

 

Now is also a great time for floaties too. With interest rates rising and inflation kicking off globally, bond ETFs are getting hit hard. Floaties – with NAVs almost as stable as cash, but yields lower than most bond ETFs – have strongly outperformed.

 

There’s two obvious criticisms though. The first is: what’s the USP? Active management is not the answer. Other floating rate ETFs use it too, such as State Street’s SRLN. (And active management, as always, provides a reason to charge higher fees). It’s not the fact that it juices yields by targeting junkier floaties either – again, other ETFs do this too. So what is special about this ETF? BlackRock may have to spell it out.  

 

The second criticism is why can’t this investment strategy be done passively? We have indexes of staggering complexity these days and BlackRock has an index function internally. Is there any reason that this investment strategy cannot be done passively at a lower cost? Again, some explanation will be needed.  

 

I’m also curious as to whether it’s the best idea to get heavily invested into junk-rated credits when we’re possibly on the brink of a recession. But BlackRock’s portfolio managers will know more than me.

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Bernie Thurston

Bernie Thurston is the founder and CEO of Ultumus, a leading provider of ETF and index data, calculation, and workflow solutions. With over 20 years of experience in financial technology, Bernie has been at the forefront of index and ETF innovation since 2003.

His finance career began at Markit, where as Managing Director for Equities he designed and developed products for index and ETF composition and dividend forecasting from 2003 to 2011. He then founded and led DeltaOne Solutions as Managing Director, building it into a global provider of index and ETF trading data and technology services. The company managed over 100,000 multi-asset class products before being acquired by Markit in 2015.

Following the acquisition, while working for an ETF issuer, Bernie identified fundamental issues in how index and ETF data was represented across the industry. This led him to found Ultumus in 2016, building solutions for ETF primary market operations. Under his leadership, Ultumus has grown into a market leader serving major financial institutions globally, with its ETF Order Management System (OMS) supporting create and redeem workflows worldwide and its PCF platform calculating and distributing portfolio composition files for ETF issuers across every major market.

Bernie sold Ultumus to SIX Group in 2021, where it continues to expand across Europe, North America, and Asia-Pacific. Known for building lasting teams and leveraging cutting-edge technology, Bernie is focused on establishing Ultumus as the backbone of the global index and ETF industry through standardisation and automation.

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