VIRTUAL EVENTS

The Quiet Boom in Autocallable ETFs

Autocallable ETF allocations have been surging quietly. While the income conversation has stayed anchored to covered calls and core bonds, advisors have been steadily building positions in a category most product committees barely discussed two years ago.

The growth isn’t accidental - it’s a category that took the economics structured notes have offered for years, stripped out the issuer credit and liquidity friction, and put them in a daily-liquid ETF wrapper. The result: a category advisors can actually use at scale.

GraniteShares and VettaFi are coming together for a state-of-the-category briefing: the flow data behind the surge, the structural reasons advisors are making room in income sleeves, how the category has held up across different rate and volatility regimes, and the diligence questions worth asking before adding it to a model.

If the autocallable ETF flow story has been on your radar but you haven’t had time to dig in, this session is built to bring you up to speed.

June 26, 2026
11 AM PT | 2 PM ET
1 CE Credit
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SUMMARY

What you'll learn:

  • The flow data behind the autocallable ETF growth story
  • The structural reasons advisors are making room in income sleeves
  • How observation dates, memory features, and call triggers shape payouts
  • How the structure has held up across different rate and volatility regimes
  • The diligence questions worth asking before adding the category to a model

This program is accepted for one hour of continuing education (CE) credit by the Certified Financial Planner Board of Standards for the CFP® designation, The Investment and Wealth Institute for CIMA®, CPWA®, RMA®, and CIMC designations, The ETF Institute for the CETF® designation and The American College of Financial Services.

CFA Institute members are encouraged to self-document their continuing professional development activities in their online CE tracker.

SPEAKERS

Will Rhind

Founder & CEO
GraniteShares

Cinthia Murphy

Director of Research
VettaFi

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