State Street Global Advisors Adapts in Ever Evolving ETF Industry

Investors are also voting with their wallets, and many are turning to low-cost ETFs to gain broad market exposure. These SPDR ETFs with a 0.03% expense ratio are among the cheapest in the U.S. industry today.

The group of 15 SPDR “Portfolio” ETFs include:

  • SPDR Portfolio Total Stock Market ETF (NYSEArca: SPTM) 0.03% expense ratio
  • SPDR Portfolio Large Cap ETF (NYSEArca: SPLG) 0.03% expense ratio
  • SPDR Portfolio Mid Cap ETF (NYSEArca: SPMD) 0.05% expense ratio
  • SPDR Portfolio Small Cap ETF (NYSEArca: SPSM) 0.05% expense ratio
  • SPDR Portfolio S&P 500 Growth ETF (NYSEArca: SPYG) 0.04% expense ratio
  • SPDR Portfolio S&P 500 Value ETF (NYSEArca: SPYV) 0.04% expense ratio
  • SPDR Portfolio S&P 500 High Dividend ETF (NYSEArca: SPYD) 0.07% expense ratio
  • SPDR Portfolio World ex-US ETF (NYSEArca: SPDW) 0.04% expense ratio
  • SPDR Portfolio Emerging Markets ETF (NYSEArca: SPEM) 0.11% expense ratio
  • SPDR Portfolio Aggregate Bond ETF (NYSEArca: SPAB) 0.04% expense ratio
  • SPDR Portfolio Long Term Corporate Bond ETF (NYSEArca: SPLB) 0.07% expense ratio
  • SPDR Portfolio Intermediate Term Corporate Bond ETF (NYSEArca: SPIB) 0.07% expense ratio
  • SPDR Portfolio Short Term Corporate Bond ETF (NYSEArca: SPSB) 0.07% expense ratio
  • SPDR Portfolio Long Term Treasury ETF (NYSEArca: SPTL) 0.06% expense ratio
  • SPDR Portfolio Short Term Treasury ETF (NYSEArca: SPTS) 0.06% expense ratio

State Street has also come out with more innovative ETF offerings, including its Kensho suite. The SPDR Kensho Intelligent Structures ETF (NYSEArca: XKII), SPDR Kensho Smart Mobility ETF (NYSEArca: XKST) and SPDR Kensho Future Security ETF (NYSEArca: XKFS) may help investors focus on the potential growth opportunity in next-generation or disruptive technologies.

“What I love about Kensho is that they use machine learning and they comb through thousands and thousands pages of regulatory filing for more of a forward-looking view into what is going to happen with disruptive technologies. It’s like we’re using A.I. to find A.I.,” Thompson added.

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