This post presents a 60-year quantitative investigation into how gold and silver rallies transmit into industrial commodities, PPI, and CPI, built with the Vibe-Trading research toolchain over a monthly panel spanning 1965–2026 (742 months), drawing on BLS, World Bank, IMF, Yahoo Finance, and Eastmoney data, plus A-share photovoltaic silver-paste and copper-processing earnings.
Key points
- Gold-only rallies ≠ inflation. Gold's industrial demand is only ~7–10% of total demand. Statistically, gold "leading" industrial prices reflects the time gap between instant financial repricing and sticky real-economy transmission (6–18 months), not gold directly raising costs.
- Silver is the bridge. Silver combines ~45% monetary and ~55% industrial properties (PV paste, contacts, EVs, AI connectors). A GSR collapse signals the switch from safe-haven to reflation trading and triggers preventive inventory building in industrial metals.
- Lead-lag (CCF): gold leads silver ~0m (r=0.78), copper ~2m, base metals ~4m, US metals PPI ~7m, broad US PPI ~11m, total CPI ~18m (r=0.52). Silver leads copper (r=0.53–0.59), US metals PPI ~5m (r=0.54), China PPI ~5m (r=0.48). Crude oil leads both US and China PPI by ~1 month with r≈0.83–0.89 — the strongest physical cost anchor.
- Granger causality (log-differenced, HAC-robust): gold → silver significant at 12m lag; silver → copper, base metals, oil, US metals PPI significant; gold → copper/industrial PPI not significant; copper/oil → US PPI overwhelming (p<0.0001); PPI → CPI significant at 3–12m.
- Horse-race regressions (Newey-West): gold +10% YoY historically predicts +1.14pp US PPI after 9 months and +0.56pp CPI after 15 months; silver +10% predicts +0.53pp China PPI after 3 months. But in simultaneous equations, gold and silver's direct coefficients on broad PPI collapse to zero (p≈0.95–0.99) while oil dominates (β=0.094, t=9.83). For copper price prediction, silver wins (β=0.375, p=0.024), gold drops out.
- GSR regime split (1991–2026, 430 months): when GSR YoY < −15% (silver squeeze/reflation regime, 65 months): gold +19.5%, silver +62.4%, copper +33.8%, oil +17.6%, US PPI +5.76%, China PPI +5.25% after 3 months. When GSR YoY > +15% (lone-gold deflation regime, 66 months): copper −14.4%, oil −7.4%, China PPI −2.53%.
- Silver-paste makers (Jet Materials 688503.SH, DK Electronic 300842.SZ): revenue +17% but gross margins compressed, operating cash flow deeply negative (−3.07bn RMB for one) as silver must be prepaid while downstream stretches payables; hedge positions produced losses in the squeeze.
- PV module leader (LONGi 601012.SH): transmission blocked by end-market overcapacity — gross margin collapsed from 7.44% to 0.81%, forcing industry-wide copper-for-silver substitution.
- Copper processor (Jintian 601609.SH): full pass-through of 97.5% raw-material cost; net profit +56.2% with stable cash flow.
- Boughton & Branson (1988), NBER WP w2750, DOI:
10.3386/w2750 - Mahdavi & Zhou (1997), J. Economics and Business, DOI:
10.1016/S0148-6195(97)00034-9 - Marazzi et al. (2005), Fed IFDP 833, DOI:
10.17016/ifdp.2005.833 - Tkacz (2007), Bank of Canada WP 2007-35, DOI:
10.34989/swp-2007-35 - Cheung (2009), Bank of Canada SDP 2009-5, DOI:
10.34989/sdp-2009-5 - Umar, Jareño & Escribano (2021), Energy Economics, DOI:
10.1016/j.eneco.2021.105291 - Hallam et al. (2022), Prog. Photovoltaics, DOI:
10.1002/pip.3661(20.3% silver learning rate) - He, Yang & Chen (2024), Modern Economy, DOI:
10.4236/me.2024.1511055 - Huang (2026), arXiv:2604.26248v1
Transmission channels
1. Common macro factor (gold): falling real rates / fiat dilution reprice gold instantly; the same liquidity impulse reaches factories months later. 2. Cross-asset rotation (silver): extreme GSR (85–100+) pulls CTA/index money into silver, signaling reflation and sparking copper/aluminum rallies. 3. Physical BOM pass-through (silver locally, copper/oil globally): silver directly hits PV paste and low-voltage equipment costs; beyond thresholds it triggers copper-for-silver substitution, converting precious-metal pressure into copper demand.
Quantitative evidence (1968–2026)
PPI→CPI pass-through across eras
| Era | US PPI → headline CPI (3m β) | US PPI → core CPI (6m β) | Verdict | |---|---|---|---| | 1970–1984 stagflation | 0.44 | 0.38 | Full high-pressure pass-through | | 1985–2000 Great Moderation | 0.25 | weakened | Anchored expectations halve transmission | | 2001–2019 globalization | 0.14 | 0.005 (decoupled) | Supply chains act as inflation sponge | | 2020–2026 restructuring | 0.20 | 0.12 (revived) | US core transmission revives; China's halves |
Four historical gold-silver cycles
1. 1971–1980: gold broke from $35 a year before copper doubled and oil quintupled; US CPI peaked at +14.8% in March 1980. 2. 2001–2011 QE supercycle: silver +918% crushed GSR to 35.3; global manufacturing absorbed costs so core CPI never exceeded 2.93%. 3. 2019–2022 pandemic QE: textbook 22-month relay — gold top (Aug 2020) → GSR 111.9→66.1 → copper/oil surge → China PPI +13.5% (Oct 2021), US PPI +24.7% → US CPI +9.06% (June 2022), exactly 22 months after gold. 4. 2023–2026: gold-only phase (GSR 101.2) matched China PPI at −3.6%; silver surge to $92.68/oz (Feb 2026, +323%) crushed GSR to 54.2, then copper ($6.59/lb) and oil (>$105/bbl) pushed China PPI from −0.9% to +5.0% and US CPI to 3.7–4.2%, while China CPI stayed at +0.9% — a +4.1pp scissors spread.
Micro-level earnings anatomy (2024 → 2025 annual reports)
Practical four-gate macro compass
1. Check GSR first: GSR > 85 and rising >15% YoY = deflation-risk lone-gold rally (avoid industrial metals); silver breakout with GSR YoY < −15% = reflation starting gun. 2. Respect the lags: gold (t=0) → silver/GSR collapse (0–3m) → copper/base metals (1–3m) → oil and PPI peak (silver +4–5m) → CPI peak (gold +18–22m). 3. Read capacity conditions: deficit-spending, tight-services economies revive core CPI; overcapacity, deleveraging economies (China now) show wide PPI-CPI scissors — favor upstream miners, avoid squeezed mid/downstream processors. 4. Watch substitution extremes: extreme silver/copper ratios accelerate irreversible copper-for-silver adoption, capping silver's industrial demand slope while adding structural copper demand.