George Patterson

ALO35: Why Macro Investing Is Becoming More Systematic ft. George Patterson

- Regime identification and model building: Patterson uses Gaussian mixture models combined with fundamental economic data (GDP, employment, inflation) to categorize market regimes; emphasizes the importance of validating model assumptions and detecting structural shifts in data. - Evolution of quantitative investing: Data availability has transformed dramatically since the 1990s—from reliance on monthly government releases to real-time web scraping, geospatial tracking, and language processing; this enabled more systematic approaches but reduced opportunities for concentrated macro bets. - Multi-asset portfolio construction: Traditional 60/40 portfolios remain viable but institutions increasingly use customized overlays, options strategies, and derivatives to manage risk and diversification; downside protection often involves rebalancing equity/call combinations rather than buying expensive puts. - Inflation as a tactical risk factor: Current inflation levels remain below the ~4% threshold where material portfolio damage occurs; commodities identified as the most effective liquid hedge; positioning reflects mid-horizon fundamental views combined with shorter-term tactical overlays. - Machine learning and language models: Modern research focuses on extracting alpha from text—earnings calls, news feeds, company websites, Fed communications—using LLMs and sentiment analysis; these tools improve efficiency but require human oversight to avoid black-box over-optimization. - Managing model decay and adaptability: Researchers must identify conditions under which strategies fail; the firm monitors out-of-sample performance against in-sample expectations and adjusts parameters to account for faster policy responses and changing market microstructure.