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Market Microstructure Kitchin — Killed April 2026

Hypothesis: The Kitchin inventory cycle (~3.4 years) propagates through financial market microstructure. Credit spreads (BAA10Y), stress indices (NFCI, STLFSI), and VIX should show spectral peaks at ~3.4-year periodicity, confirming that the inventory cycle drives financial conditions as well as the real economy.

Battery result: 0 of 4 tests passed. Kill type: SPECTRAL — cycle not found where predicted.

The spectral finding: Power spectral analysis of BAA credit spreads, NFCI, and VIX across their full available histories produced the following peak periodicities:

  • Kitchin band (~3.4yr, 0.29 cycles/yr): spectral power 0.079
  • Juglar band (~7–10yr, 0.12 cycles/yr): spectral power 0.142
  • Kuznets band (~15–25yr, 0.05 cycles/yr): spectral power 0.224

The Kitchin peak is the weakest of the three cycle bands tested. The financial microstructure data is dominated by Juglar-frequency (roughly a decade) and Kuznets-frequency (multi-decade) variation. The 3.4-year Kitchin signal is barely detectable and does not drive the variance in BAA spreads, NFCI, or VIX.

What this means for the surviving Kitchin Phase Clock: This kill does NOT affect the Kitchin Phase Clock signal, which operates on a different basis entirely. The Phase Clock uses the ISM Manufacturing PMI / ISRATIO inventory cycle to identify regime phases for equity market positioning — it is an equity timing framework, not a financial-microstructure propagation claim. The Phase Clock’s held-out z-score of 8.58 is independent of whether the Kitchin cycle propagates into credit spread spectral power. These are separate hypotheses. The microstructure transmission claim is killed. The phase clock survives.

Failure mode: PURE NOISE at the stated spectral frequency. The Kitchin cycle is detectable in industrial production and inventory data — it is real in the real economy. The claim that this cycle transmits into financial conditions at a measurable spectral frequency in BAA/NFCI/VIX is not supported by the data. Juglar and Kuznets dynamics dominate the financial time series.