For every stock that enters an index like the S&P 500 or Russell 1000, another must exit. One might assume these “deletions” are a sorrowful bunch whose demotion to the B-team means they’re no longer worthy of your portfolio. Yet Rob Arnott, founder of Research Affiliates and a longtime champion of “smart beta,” discovered that many of these rejects tend to perform better after being dropped from the indexes.

On this episode, Eric and Joel speak with Arnott about his new exchange-traded fund, $NIXT, which holds dozens of such stocks with equal-weighting. They discuss how the ETF—Arnott’s first launch—may complement your portfolio, what’s behind the performance, how the portfolio rebalances and why smart beta has endured.

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The idea of using leverage to layer one investment return, say equities, on top of another, say a managed futures strategy, is something institutional investors have been doing for decades under the term “portable alpha.” Now a suite of young, fast-growing exchange-traded funds have come along—they’re called “return stacking” ETFs—and they’re offering such layering to the masses.

On this episode, Joel and Eric speak with Corey Hoffstein, chief executive and chief information officer of Newfound Research and one of the masterminds behind the Return Stacked ETF suite. They discuss how these ETFs work, where they fit in a portfolio and why this is a more responsible use of leverage than the kind that blew up the market in 2008.

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While exchange-traded funds have become increasingly popular and people are more familiar with them, there are still aspects of ETFs that—for some—remain shrouded in mystery. So we recently asked our followers on social media to send us any ETF questions they may have or topics they were curious about. We received a ton of responses.

On this episode of Trillions, Joel Weber and Eric Balchunas answer about 20 of these questions—ranging from whether ETFs will be in 401(k) plans someday to how overnight trading works to our thoughts on some of the new iterations of ETFs, like buffers, return stacking and crypto.

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