[Abridged] Foundations: Market Structure, Volatility Targeting, Pod Shops & Other Gremlins
Michael Burry
· Cassandra Unchained
· August 03, 2026 at 14:02
· ⏱ 1 min read
| Read on Substack ↗
Summary
The 2011-2026 period is statistically extreme not just for high real returns but for near-zero dividend contribution, and the GJR volatility work shows the market's response to down days has become roughly four times more chaotic while fear dissipates about twice as fast. That combination matters for volatility-targeting and pod-shop market structure because it implies sharp spikes that are violent but quick to mean-revert.
•2011-2026 delivered a 12.09% annualized real total return with dividends contributing only 1.76%, placing the dividend contribution at the 1st percentile across 145 years of 15-year blocks.
•The article applies the Glosten-Jagannathan-Runkle (GJR) 1993 framework, which breaks volatility into resting level (omega), memory (beta), response to large moves (alpha), and extra asymmetric fear on losses (gamma).
•Relative to 1985-2000, a large down day in the current era triggers about 4x as much chaos, but next-day memory is lower and residual fear dissipates roughly 2x faster.
•The title frames volatility targeting and pod shops as 'gremlins,' indicating the volatility-regime shift is relevant to how systematic and risk-premium strategies interact with market shocks.