Animal Spirits Podcast
Animal Spirits Podcast

Talk Your Book: Sectors & The Business Cycle

On today's Talk Your Book we sat down with State Street's Matt Bartolini to discuss investing in different sectors of the stock market and what these sectors can tell us about where we are in the business cycle. Find complete shownotes on our blogs... Ben Carlson’s A Wealth of Common Sense

Featured Speakers

The Compound HostMatt Bartolini Guest

Topics Discussed

Episode Summary

Executive Summary: The episode explores how sector investing has changed in a post-2020 market shaped by recession, recovery, and a technology-led surge. Matt Bartolini argues sectors still help investors read the business cycle and generate alpha, but historical playbooks are less reliable because sector composition, economic structure, and idiosyncratic events (like politics or COVID) can override past patterns. He also explains how flows, dispersion, and thematic ETFs fit into modern portfolio construction.

Main Topics: Sector leadership across market cycles (Priority: 5/5): The discussion centers on whether sectors can outperform consistently through bull markets, bear markets, and recoveries. Tech is highlighted as unusually dominant across all phases, reflecting the changing role of technology in society. Dispersion and alpha potential (Priority: 5/5): Bartolini explains that sectors have wider return dispersion than styles or factors, creating both greater opportunity and greater risk for investors trying to capture relative performance. Sector classification changes and market structure (Priority: 4/5): The conversation covers how GICS sector definitions have changed over time, especially the 2016 real estate split and the 2018 reshuffle that moved major names like Facebook and Amazon, requiring backfills and reinterpretation of history. Business cycle signals from sectors (Priority: 5/5): The guests debate whether sectors can indicate recession, slowdown, or recovery conditions. Defensive sectors worked in the selloff, while cyclical sectors generally fit recovery patterns, but tech and real estate broke the usual script. Limits of historical analogies (Priority: 4/5): Bartolini stresses that older rules of thumb—like rate sensitivity for banks or commodity strength in slowdowns—still matter in some areas but are weaker today because markets are more global, integrated, and policy-driven. Flows, trading volume, and thematic ETFs (Priority: 5/5): The discussion examines whether ETF fund flows predict performance. Bartolini says flows are mostly descriptive, not predictive, and must be paired with options and short-interest data. Thematic ETFs are growing quickly as investors seek exposure to innovation themes.

Key Arguments: Tech’s dominance in 2020 reflects a unique market cycle and a structural shift toward greater technology dependence in everyday life. Utilities underperformed in 2020 despite their usual recession-defense role, showing that historical sector behavior can break down in unusual downturns. Sector-level dispersion is materially higher than style/factor dispersion, increasing the probability of alpha if investors are right on the theme and wrong on the individual-stock level less often. Sector classification changes in 2016 and 2018 materially altered how investors should interpret history, because sector composition drives return behavior. Sectors can help identify business-cycle phases, but non-economic shocks such as politics, healthcare policy, or supply constraints can overwhelm the signal. Flows into sector and thematic ETFs are not reliable short-term predictors because they often reflect hedging, arbitrage, or momentum-following rather than fresh conviction. Thematic ETFs are partly performance-chasing, but there is also a real economic rationale behind themes like cloud, mobile payments, clean energy, and work-from-home infrastructure. For rates-sensitive sectors, the yield curve still matters most clearly at the bank level, not for financials broadly. Equal-weighting can reduce single-stock risk inside narrow sector or industry bets, making thematic or sector implementation cleaner. Historical sector tendencies are useful on average, but investors should expect regime shifts and exceptions in periods of fast social and economic change.

Data Points: Three market regimes in 2020: slowdown, recession, recovery - Bartolini described 2020 as having multiple distinct cycles within one year. Recovery start: end of April 2020 - He said the market entered a recovery around the end of April based on LEI year-over-year change. Utilities YTD performance: negative - Utilities were surprising because they traditionally hold up in recessions but lagged the broader market in 2020. Consumer discretionary since April 30: up around 29% - Sector performance during the recovery period. Materials since April 30: up 19% - Another sector that fit the recovery playbook. Homebuilders since market bottom: up like 115% - Example of unusually strong cyclical rebound. Average sector dispersion: around 16% - Average rolling three-month sector dispersion since 2000. Average style dispersion: around 7% to 10% - Compared with sectors, styles showed less dispersion. Worst sector average annual return: down 19% - Average underperformance of the worst-performing sector on a calendar-year basis over the last 20 years. Worst-performing stock in S&P 500 this year: down 73% - Used to compare single-stock downside with sector-level downside. Recessions analyzed after reconstruction: 6 of 7 - Non-cyclical sectors outperformed the broader market by more than 10% during six of seven recession periods. Thematic ETF industry inflows: $14 billion - Overall U.S.-listed thematic ETF inflows mentioned. Thematic ETF recent monthly inflows: $3 billion in June, July, and likely August - Shows continued investor interest in thematic products. Thematic ETFs outperforming S&P 500: 66% - Share of thematic ETFs that were outperforming the S&P 500 year to date. Average thematic ETF outperformance: 7% - Average amount by which thematic ETFs outperformed the S&P 500. Trading volume correlation with VIX: 84% correlation - State Street’s trading volumes closely tracked changes in VIX during high volatility. Banks’ beta sensitivity to yield curve: around 35 to 40 - Used to show bank sensitivity to curve changes. Broader financials yield curve sensitivity: less than banks - Insurance and diversified financials dilute the rate/curve effect. OPEC and OPEC Plus oil output share: 40% of all oil output - Illustrates why energy is driven by global supply dynamics rather than just U.S. growth.

Pivotal Quotes: "I don't think we've seen anything like this." — Matt Bartolini: On the unusual sequence of slowdown, recession, and recovery in 2020 and tech’s performance across phases. "Sectors far outpace that." — Matt Bartolini: Explaining that sector dispersion is much wider than style or factor dispersion, making sector rotation more potent. "No, you can't because the market changes constantly and our economic cycle is completely different." — Matt Bartolini: On why old sector rules from the 1960s and 1970s cannot be applied blindly today.

Implications: Sector investing remains useful for cycle awareness and alpha, but only when paired with modern context, sector composition awareness, and risk controls. Flows are mostly backward-looking; thematic and equal-weight approaches may be better tools for capturing change without relying on stale historical analogies.

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About Animal Spirits Podcast

Animal Spirits is a show about markets, life, and investing. Join Michael Batnick and Ben Carlson as they talk about what they're reading, writing, listening to and watching. Look for new episodes every Wednesday morning. See our disclosures here - https://ritholtzwealth.com/podcast-youtube-disclosures/

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