Episode 397: Hendrik Bessembinder - Constant Leverage & Measuring Investor Outcomes
Episode
65 min
Read time
3 min
Topics
Personal Finance, Investing, Fundraising & VC
AI-Generated Summary
Key Takeaways
- ✓Volatility decay misconception: Volatility does not inevitably drag down mean returns in constant leverage ETFs. Daily rebalancing functions as a momentum trade—buying after gains, selling after losses. Whether this helps or hurts depends entirely on whether the underlying asset experiences return continuations or reversals. High volatility amplifies whichever pattern dominates, meaning the "volatility decay" label overstates the certainty of harm from daily resets.
- ✓Leveraged single stock ETF costs: Bessembinder's sample of 35 single-stock leveraged ETFs launched since 2022 underperforms a frictionless leveraged buy-and-hold benchmark by 0.79% per month for long funds and 1.0% per month for short funds—equivalent to roughly 9.5 and 12 percentage points annually. For long funds, two-thirds of underperformance comes from frictions (fees, swap borrowing costs above the federal funds rate); one-third from rebalancing.
- ✓Short vs. long leverage asymmetry: Inverse leveraged ETFs face larger rebalancing trades than long ETFs because the required trade size scales with the leverage ratio squared minus the leverage ratio (L²−L). For negative leverage ratios, this formula produces larger values, meaning short funds incur greater rebalancing costs. Empirically, about three-quarters of short fund underperformance stems from rebalancing, versus only one-quarter from frictions like fees and swap rates.
- ✓Arithmetic means and alpha limitations: Arithmetic means, Sharpe ratios, and factor alphas all derive from single-period CAPM logic and make no attempt to capture multi-period investor outcomes. The arithmetic mean only accurately represents returns for an investor who rebalances every period to maintain a constant dollar position—a strategy almost no one uses. Investors evaluating long-horizon performance should treat these metrics as incomplete rather than definitive measures of wealth accumulation.
- ✓Sustainable return framework: Bessembinder introduces the sustainable return: the constant periodic withdrawal, expressed as a percentage of initial investment, that leaves terminal portfolio value equal to starting value—essentially how much could be spent without eroding capital. Mathematically, the expected sustainable return nearly equals the expected geometric mean. The proportional variant—withdrawing a fixed percentage of current portfolio value each period—equals the geometric mean divided by one plus the geometric mean, eliminating ruin risk.
What It Covers
Hank Bessembinder joins Rational Reminder to examine constant leverage ETFs for single stocks, breaking down how daily rebalancing, volatility, and reversals drive underperformance of 0.79%–1.0% per month versus a frictionless benchmark, then introduces two new return measures—sustainable return and proportional sustainable return—to better capture long-horizon investor outcomes beyond arithmetic and geometric means.
Key Questions Answered
- •Volatility decay misconception: Volatility does not inevitably drag down mean returns in constant leverage ETFs. Daily rebalancing functions as a momentum trade—buying after gains, selling after losses. Whether this helps or hurts depends entirely on whether the underlying asset experiences return continuations or reversals. High volatility amplifies whichever pattern dominates, meaning the "volatility decay" label overstates the certainty of harm from daily resets.
- •Leveraged single stock ETF costs: Bessembinder's sample of 35 single-stock leveraged ETFs launched since 2022 underperforms a frictionless leveraged buy-and-hold benchmark by 0.79% per month for long funds and 1.0% per month for short funds—equivalent to roughly 9.5 and 12 percentage points annually. For long funds, two-thirds of underperformance comes from frictions (fees, swap borrowing costs above the federal funds rate); one-third from rebalancing.
- •Short vs. long leverage asymmetry: Inverse leveraged ETFs face larger rebalancing trades than long ETFs because the required trade size scales with the leverage ratio squared minus the leverage ratio (L²−L). For negative leverage ratios, this formula produces larger values, meaning short funds incur greater rebalancing costs. Empirically, about three-quarters of short fund underperformance stems from rebalancing, versus only one-quarter from frictions like fees and swap rates.
- •Arithmetic means and alpha limitations: Arithmetic means, Sharpe ratios, and factor alphas all derive from single-period CAPM logic and make no attempt to capture multi-period investor outcomes. The arithmetic mean only accurately represents returns for an investor who rebalances every period to maintain a constant dollar position—a strategy almost no one uses. Investors evaluating long-horizon performance should treat these metrics as incomplete rather than definitive measures of wealth accumulation.
- •Sustainable return framework: Bessembinder introduces the sustainable return: the constant periodic withdrawal, expressed as a percentage of initial investment, that leaves terminal portfolio value equal to starting value—essentially how much could be spent without eroding capital. Mathematically, the expected sustainable return nearly equals the expected geometric mean. The proportional variant—withdrawing a fixed percentage of current portfolio value each period—equals the geometric mean divided by one plus the geometric mean, eliminating ruin risk.
- •Dollar-weighted returns for real investors: Dollar-weighted returns (IRRs) better capture actual investor experience than buy-and-hold geometric means because they account for the timing and size of cash flows in and out. Modified IRRs improve further by avoiding the unrealistic assumption that interim cash flows are reinvested at the IRR rate. Bessembinder advocates for more academic research using these measures, noting they are already used in practice by Morningstar's Mind the Gap series and Vanguard account reporting.
Notable Moment
Bessembinder reveals that a negative 2x single-stock ETF listed in London technically promised a return worse than −100% after an underlying tech stock rose more than 50% in a single day. Simulations show this scenario would have occurred roughly five times per day on average across all US stocks over the past fifty years.
Episode Transcript
This is the Rational Reminder podcast, a weekly reality check on sensible investing and financial decision making from two Canadians. We are hosted by me, Benjamin Felix, chief investment officer, and Cameron Passmore, chief executive officer at PWL Capital. Welcome to episode three ninety seven. Nice to be back with you, Ben. Been a while since I've been on the pod. Been a while. Yeah. Good to have you back. I think it's actually my first time this year to be on, and pretty exciting to be talking with today's return guest, Hank Bessenbinder, which is a name most listeners certainly are aware of. As I said, a returning guest, phenomenal guest, so well spoken, so thoughtful. And I don't want to kind of spill the candy here in the lobby, but because you're gonna do a great intro. But, wow, so many interesting things, and it kinda links back to your recent podcast and YouTube on ETF swap and kind of the things that are happening in the marketplace. So with that, Ben, you have to queue this one up. Yeah. So we had Hank on back in episode 346 last time, and that was actually with Mark and I interviewing Hank. We talked about a bunch of his research then, but he had a couple new papers out that I thought were really, really interesting. And as you mentioned, I included one of them in the video that I did on ETF slop. He has a paper out on levered single stock ETFs, which I think are kind of ridiculous. I think Hank does a very good job delicately explaining when they could be useful for someone if they really had a very, very specific hedging or view that they wanted to express in the market but I suspect that he agrees that for most people and I think this comes out in the conversation for most people they are probably crazy investments. Anyway, so he has got that paper which was just fascinating and it is kind of an extension of his research on individual stock returns. He's kind of said, like, okay, we know how skewed individual stock returns are. How does that change when we introduce two extra three x long or short leverage? And so he does a paper on that which we discussed at length. In that conversation, we also discussed the concept of constant leveraged index ETFs because, you know, you can get, like, a two x or three x S and P 500 ETF, which you'd expect to perform quite differently from a leveraged single stock ETF. So we talked about how those two things might be different. And you'll hear Hank say in the conversation, I think I piqued his interest and that he may consider including some index ETFs in his future analysis, which I I would be personally very interested to see and I think listeners would too. So we spent a good amount of time on that. …
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