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Rational Reminder

Episode 394: Equal Weight vs. Market Cap Weight Index Funds

65 min episode · 3 min read

Episode

65 min

Read time

3 min

Topics

Productivity, Health & Wellness, Relationships

AI-Generated Summary

Key Takeaways

  • Historical Performance Context: Equal-weighted S&P 500 funds outperformed market-cap-weighted versions by nine basis points annualized since 2003 inception, but this advantage reversed dramatically in recent years. Over the past ten years, equal-weight returned 12.93% annually versus 15.73% for SPY, a three percentage point gap. The early outperformance occurred during periods when small-cap and value stocks performed well, particularly following the dot-com bust recovery period starting in 2003.
  • Factor Exposure Reality: Multifactor regression analysis reveals equal-weighted funds systematically overweight small-cap and value factors while maintaining significant negative momentum exposure. The strategy mechanically sells recent winners and buys recent losers during quarterly rebalancing, creating an anti-momentum position. This factor exposure, not equal-weighting itself, explains most historical outperformance. Investors seeking these exposures can access them more efficiently through purpose-built factor funds without equal-weighting's structural drawbacks.
  • Turnover and Trading Costs: Equal-weighted Canadian ETFs demonstrate ten times higher portfolio turnover compared to market-cap-weighted equivalents over five-year periods. While explicit trading expense ratios remain low at 0.01% or less, implicit costs from crossing bid-ask spreads accumulate significantly. Quarterly rebalancing requires selling appreciated positions back to equal weights and buying underperformers, generating continuous trading activity that market-cap-weighted funds avoid through natural weight adjustments as prices change.
  • Volatility and Risk Profile: Equal-weighted portfolios exhibit significantly higher fifteen-year standard deviation than market-cap-weighted equivalents due to overweighting smaller, more volatile companies. These funds maintain short positions in the low-volatility factor, emphasizing high-volatility stocks that markets theoretically price as riskier. While equal-weighting reduces concentration in mega-cap stocks, it introduces different risks through extreme over and underweights at individual security and sector levels, creating unintended sector bets investors may not want.
  • Dimensional Alternative Approach: Dimensional's Core Equity fund achieves similar small-cap and value factor exposures as equal-weighted funds while anchoring to market-cap weights, capping sector deviations, and implementing momentum screens to avoid selling recent winners. Since 2005, this approach outperformed equal-weighted funds with materially lower turnover and volatility. The strategy applies modest tilts from market-cap weights rather than naive equal-weighting, delivering factor exposure more efficiently without systematic momentum bets or excessive rebalancing requirements.

What It Covers

Benjamin Felix, Dan Bortolotti, and Ben Wilson examine equal-weighted versus market-cap-weighted index funds, analyzing why equal-weighted S&P 500 funds have historically outperformed since the 1970s but underperformed by three percentage points annually over the past decade. They explore concentration concerns, factor exposures, rebalancing costs, and whether Dimensional's targeted approach offers superior factor exposure without equal-weighting's drawbacks.

Key Questions Answered

  • Historical Performance Context: Equal-weighted S&P 500 funds outperformed market-cap-weighted versions by nine basis points annualized since 2003 inception, but this advantage reversed dramatically in recent years. Over the past ten years, equal-weight returned 12.93% annually versus 15.73% for SPY, a three percentage point gap. The early outperformance occurred during periods when small-cap and value stocks performed well, particularly following the dot-com bust recovery period starting in 2003.
  • Factor Exposure Reality: Multifactor regression analysis reveals equal-weighted funds systematically overweight small-cap and value factors while maintaining significant negative momentum exposure. The strategy mechanically sells recent winners and buys recent losers during quarterly rebalancing, creating an anti-momentum position. This factor exposure, not equal-weighting itself, explains most historical outperformance. Investors seeking these exposures can access them more efficiently through purpose-built factor funds without equal-weighting's structural drawbacks.
  • Turnover and Trading Costs: Equal-weighted Canadian ETFs demonstrate ten times higher portfolio turnover compared to market-cap-weighted equivalents over five-year periods. While explicit trading expense ratios remain low at 0.01% or less, implicit costs from crossing bid-ask spreads accumulate significantly. Quarterly rebalancing requires selling appreciated positions back to equal weights and buying underperformers, generating continuous trading activity that market-cap-weighted funds avoid through natural weight adjustments as prices change.
  • Volatility and Risk Profile: Equal-weighted portfolios exhibit significantly higher fifteen-year standard deviation than market-cap-weighted equivalents due to overweighting smaller, more volatile companies. These funds maintain short positions in the low-volatility factor, emphasizing high-volatility stocks that markets theoretically price as riskier. While equal-weighting reduces concentration in mega-cap stocks, it introduces different risks through extreme over and underweights at individual security and sector levels, creating unintended sector bets investors may not want.
  • Dimensional Alternative Approach: Dimensional's Core Equity fund achieves similar small-cap and value factor exposures as equal-weighted funds while anchoring to market-cap weights, capping sector deviations, and implementing momentum screens to avoid selling recent winners. Since 2005, this approach outperformed equal-weighted funds with materially lower turnover and volatility. The strategy applies modest tilts from market-cap weights rather than naive equal-weighting, delivering factor exposure more efficiently without systematic momentum bets or excessive rebalancing requirements.
  • Concentration Concerns Misplaced: Historical data shows weak relationships between market concentration levels and subsequent ten-year returns in U.S. markets. Taiwan's market exceeded 40% concentration in top seven stocks in November 2015, then outperformed U.S. markets over the following decade. Current U.S. concentration, while at historical highs, does not reliably predict underperformance. Larger companies typically exhibit lower volatility than smaller firms, making concentrated large-cap exposure potentially less risky than equal-weighting's extreme overweights to small, volatile stocks.

Notable Moment

Cliff Asness created a satirical presentation critiquing Rob Arnott's fundamental indexing concept, depicting a fictional dialogue where Arnott claims to have discovered a revolutionary theory about massive bodies attracting each other, while Asness repeatedly insists this phenomenon already exists and is called gravity. The parody illustrated how fundamental indexing essentially repackaged value investing under a different name, similar to how equal-weighting disguises factor exposure.

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Episode Transcript

This is the Rational Reminder podcast, a weekly reality check on sensible investing and financial decision making from three Canadians. We're hosted by me, Benjamin Felix, chief investment officer, Dan Bortolotti, portfolio manager, and Ben Wilson, head of m and a at PWL Capital. Welcome to episode three ninety four of the podcast. We got an interesting topic to discuss today. Look forward to getting into it. I don't know if anybody noticed that unenthusiastic pause after I said the introduction there, but we did get some feedback, but our enthusiasm has fallen since episode 80 back with, me and Cameron. So we're gonna work on our enthusiasm. I just want everyone to know we will read that feedback at the end of the episode, which we appreciate. We genuinely appreciate the feedback. It was just funny to read. Oh, the listener just said we sounded tired, which is accurate. We sound tired and that there are long, long pauses. Nobody says anything. You said compared to episode number 80. Well, we're now at 394. Yeah. It's tired. Work. It's still exciting to to be part of it. I've aged. I've aged a lot. I'm a little more tired than I was in episode 80. It's true. You've been through a lot, Ben. I don't know if we said this is episode three ninety four. I do wanna say real quick before we get into the topic that an area that PWL has been increasingly active in working working with clients in is with institutions. So that's things like foundations, endowments, reserve funds for not for profit organizations. And the institutional space is is fascinating. There are not a lot of firms out there that are working with institutions and just telling them to buy index funds. You know, Warren Buffett has had some great comments about the institutional space over the years about how consultants, institutional consultants are not going to tell you to buy index funds because it is their job to find stuff that is better. So that's just not the advice that you tend to get in the institutional world. But I can tell you from our experience working with institutions, it's for the investment committees that get it, that they're tired of seeing poor performance. They're tired of having to turn over their managers every few years because they're not performing as well as they were supposed to be. They find it very refreshing to hear that there's a firm that will just say, we will buy index funds for you and help you manage your asset allocation and spending policy over time. It's not a service that really exists in that space. So, anyway, if there's anybody listening that is on an investment committee, an institutional investment committee that would be interested in hearing what it looks like to work with a firm like PWL, we would love to talk to them. Yeah. I think the most interesting part about that is the fact …

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Books, tools, and gear mentioned in this episode

SignalCast may earn commission on purchases via these links. As an Amazon Associate, SignalCast earns from qualifying purchases.

Gear

  • by State Street Global Advisors

    Over the past ten years, equal-weight returned 12.93% annually versus 15.73% for SPY, a three percentage point gap.

Products

  • by Dimensional Fund Advisors

    Dimensional's Core Equity fund achieves similar small-cap and value factor exposures as equal-weighted funds while anchoring to market-cap weights, capping sector deviations, and implementing momentum screens to avoid selling recent winners.
  • Equal-weighted S&P 500 funds outperformed market-cap-weighted versions by nine basis points annualized since 2003 inception, but this advantage reversed dramatically in recent years.

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