Episode 405: Timothy Edwards - Inside S&P DJ Indices

Episode Summary

Executive Summary: The episode centers on the SPIVA report and its long-running evidence that most active funds underperform after fees, especially over longer horizons, while also exploring nuances in fixed income, persistence, concentration, index effects, IPO inclusion rules, and market-timing behavior. Tim Edwards explains how SPIVA is designed to inform—not win—the active versus passive debate, and why indexing remains robust despite legitimate design questions.

Main Topics: What SPIVA is and why it exists (Priority: 5/5): Tim Edwards explains that SPIVA (S&P Index vs. Active) is a global scorecard produced to inform the active-versus-passive debate with consistent, public, replicable data across markets and time horizons. Bias control, survivorship, and persistence (Priority: 5/5): The discussion emphasizes methodology: using the funds available at the start of each period to avoid survivorship bias, and showing that past winners exhibit little to no persistence, making track records weak predictors. Fixed income vs. equity active management (Priority: 4/5): Bond funds tend to outperform slightly more often than equity funds, but not enough to overcome fees consistently; fees matter more in bonds because return dispersion is lower than in equities. Market concentration and index resilience (Priority: 4/5): Edwards reviews historical concentration in the S&P 500, noting that today’s high concentration is not unprecedented and that the biggest companies of previous eras often faded while the index itself kept compounding through creative destruction. Index design, IPOs, and the ‘index effect’ (Priority: 4/5): The conversation addresses index rebalancing costs, the diminishing index effect due to pre-announcement transparency and liquidity, and how current S&P 500 rules delay IPO inclusion through seasoning and profitability requirements. Market timing and waiting for a further decline (Priority: 4/5): A short research-style analysis suggests that waiting for a bigger drawdown before investing is historically harmful because markets often rise substantially while investors wait for a better entry point. What makes a good index and how success is defined (Priority: 2/5): Edwards names the dispersion index (DSPX) as a personal favorite due to its forward-looking insight, and frames success personally as happiness rather than merely ambition or status.

Key Arguments: Most active funds underperform their benchmarks in most markets, and the gap worsens as the holding period lengthens. SPIVA’s methodology is designed to avoid survivorship bias by evaluating funds available at the start of each measurement period, not just those that survived. Past fund outperformance is not reliably persistent; winning funds are only slightly less than 50/50 to repeat, implying mean reversion rather than skill persistence. Fixed income is not a refuge for active management: active bond funds do somewhat better than active equity funds, but not enough to beat the benchmark after fees in most cases. Fees have a larger effect in bonds than equities because bond returns are less dispersed, so there is less room for managers to add value. High U.S. market concentration is historically normal in the sense that leadership changes over time; the current giants are not guaranteed permanence. Cap-weighted indices naturally adapt as market leaders rise and fall, so concentration does not necessarily imply the market is structurally broken. Index funds are not obviously destabilizing markets; the benefits of low cost, liquidity, and transparency have broadly helped investors, especially during periods of stress. Waiting for a 20% drawdown before buying is historically a bad timing strategy because the market can rise sharply while investors wait. Some index design criticisms are valid, but changing an index to chase expected-return effects risks departing from its core purpose: representing the market. SPIVA has influenced investor education, industry behavior, and even firm formation by showing the difficulty of active outperformance.

Data Points: SPIVA coverage: 10 regions - Edwards said the scorecard is published globally across about ten regions every six months. SPIVA history: ~25 years - The active-performance scorecard has been produced for about a quarter century. Canadian 10-year survivorship: just over 60% - Cameron referenced the Canada year-end report; Edwards said 50%-60% is typical across markets. Typical 10-year survivorship across markets: 50%–60% - Edwards said this is a representative long-horizon survivorship rate globally. Average equity underperformance rate (1-year, major markets): 67% - Across major markets, about two-thirds of equity funds underperformed over one year on average. Average bond underperformance rate (1-year, major markets): 63% - Bond funds did slightly better than equities, but a majority still underperformed. Half of stocks in global large cap: 20% or more performance difference from benchmark - Edwards used this to illustrate high dispersion in equities. US large-cap active underperformance in latest report: 86% - Used as a comparison point when discussing international small-cap funds. International small-cap underperformance over 10 years: 74% - Edwards said active international small-cap funds still mostly underperformed, though less than US large cap. Multi-asset 60/40 active portfolio underperformance over 10 years: 97% - Randomly selected active-fund portfolios in a 60/40 structure underperformed almost all the time. Top-quartile active-fund portfolio underperformance over 10 years: 93% - Constraining portfolios to top-quartile funds improved odds slightly but did not change the overall conclusion. Index effect in mid-1990s: about 8% - Edwards contrasted earlier, larger index-add/drop effects with today’s much smaller impact. Index effect in 2011-2021: about 1 basis point / 0.01% - He said the effect became nearly de minimis in the modern period. Potential weight of top 10 venture-backed US private companies in S&P 500: about 4.5% - If fully public and included, the largest private-company IPOs could collectively represent a large index weight. Current S&P 500 IPO seasoning rule: 12 months - Newly listed companies must trade for a year before being considered for inclusion. Profitability requirement for S&P 500 inclusion: profit in the most recent quarter and over the last year - One reason some large IPOs would be delayed from index inclusion. Top 10 S&P 500 weight by end of 2025: close to 40% - Used to contextualize current concentration against historical extremes. Historical concentration peak: around 40% in 1965 - The top 10 stocks also made up roughly 40% of the index about 60 years ago. Average tenure of current top 10 giants: 24 years - Edwards noted that many of today’s megacaps have been public for a long time. Wait time for a 20% drawdown if starting at all-time high: 3 years on average - Tim’s analysis suggested investors who wait for a bear-market entry often wait a long time. Median wait time for a 20% drawdown: a little over 2 years - The median was shorter than the mean, but still long enough to matter. Index-fund fee savings vs. average active mutual fund: about $50 billion per year - Edwards said S&P’s main US index products save investors roughly this amount in fees.

Pivotal Quotes: "“S&P Index vs. Active.”" — Tim Edwards: Definition of the SPIVA acronym at the start of the conversation. "“Most of the time in most markets, most actively managed funds underperform benchmarks.”" — Tim Edwards: Core takeaway summarizing the broad SPIVA evidence across regions and asset classes. "“Timing the market is hard. And by the way, the reason this is true... most of the time, the market falls a bit more. Some of the time, it goes up from there and it goes up an awful, awful lot before you've got another chance for a sale to be on.”" — Tim Edwards: Explanation of why waiting for a larger decline before investing tends to hurt long-run returns.

Implications: For most investors, low-cost indexing remains the default winner, while active management should be used selectively and with realistic expectations. Methodology rules, concentration, and IPO inclusion deserve monitoring, but they do not overturn the core case for indexing.