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ALTY: 7% Yield ETF Beating Competitors, Yet Unattractive

Summary

  • Global X Alternative Income ETF is a multi-asset fund with a 7.3% yield.
  • It has beaten its 3 closest competitors since 2018, and also in 2023.
  • However, the ALTY ETF has lost about 24% in share price and 31% in distributions since inception.
  • Bonus: a solution to manage the decay in high-yield funds.
  • Quantitative Risk & Value members get exclusive access to our real-world portfolio. See all our investments here »

Business man comparing risk with return

takasuu

This article series aims at evaluating ETFs (exchange-traded funds) regarding past performance and portfolio metrics. Reviews with updated data are posted when necessary.

ALTY strategy and portfolio

Since my latest article with a sell rating on Global

SRET total return

SRET total return (Seeking Alpha)

PFFD total return

PFFD total return (Seeking Alpha)

EMBD total return

EMBD total return (Seeking Alpha)

QYLD total return

QYLD total return (Seeking Alpha)

MLPX total return

MLPX total return (Seeking Alpha)

ALTY vs competitors since 2018, total return

ALTY vs competitors since 2018, total return (Seeking Alpha)

ALTY vs competitors year-to-date, total return

ALTY vs competitors year-to-date, total return (Seeking Alpha)

ALTY share price (without dividends)

ALTY share price (without dividends) (Seeking Alpha)

ALTY distribution history

ALTY distribution history (Seeking Alpha)

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This article was written by

Fred Piard profile picture
14.87K Followers
Data-driven portfolios and risk indicators.
Author of Quantitative Risk & Value and three books, I have been investing in systematic strategies since 2010. I have a PhD in computer science, an MSc in software engineering, an MSc in civil engineering and 30 years of professional experience in various sectors. My aim is making simple and efficient quantitative investing techniques available to my followers. Quantitative models can make investment decisions faster, reproducible and emotionless by focusing on relevant information in the middle of market noise. Moreover, models can be refined to meet specific risk tolerance and objectives. 

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I am an individual investor and an IT professional, not a finance professional. My writings are data analysis and opinions, not investment advice. They may contain inaccurate information, despite all the effort I put in them. Readers are responsible for all consequences of using information included in my work, and are encouraged to do their own research from various sources.

Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.

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