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Tag: factor decomposition

French Debt Crosses the Rubicon: 30-Year OAT Yield Hits Phase Transition at 4.6926%

https://www.steelldy-indices.com The morning fixing of the 30-year French OAT yield at 4.6926% marks a "phase transition" market event. Cross-referenced with our proprietary risk engines, this level signals a critical threshold for French debt sustainability, with non-negligible probability of a self-fulfilling confidence crisis. Key findings: the 5-year implied probability of a French fiscal accident jumped from…

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Monetary illusion amid rising interest rates against persistent inflationary risks

The rise in key interest rates (ECB deposit facility at 2.25% as of June 17, 2026, following a +25 bps increase) mechanically raises the nominal yield of new sovereign bonds and monetary instruments (€STR, deposits). For a hold-to-maturity investor, this generates a stable nominal carry. However, our decomposition using Steelldy Risk Engine 12.4 (factor decomposition,…

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Bitcoin Struggles Near $66,000 Amidst Extreme Fear: What’s Next?

Bitcoin (BTCUSDT) trades at approximately $65,400–66,000, down ~0.8% in the observed session, within a recent consolidation range post a relief bounce from sub-$60k lows earlier in June 2026. The provided chart confirms a 1H/4H structure with MA5/10/20 clustering near $66,200–66,300, recent rejection at $67,255 highs, and downside probe the Fair Value Gap (FVG) zone around…

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Analyse technique de l’optimisation fiscale de TotalEnergies via sa filiale de trading à Genève. Application des principes de pleine concurrence (arm’s length principle)

Notre analyse multi-modèles appliquée aux données publiques confirme que TotalEnergies utilise une architecture complexe d’optimisation fiscale via sa filiale de trading à Genève. La catégorie "reste du monde" dans ses rapports fiscaux agit comme une variable proxy pour des juridictions à fiscalité réduite, principalement la Suisse. Les travaux empiriques de l’Institut de Genève ont démontré…

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Systemic Evaluation of the “Selective Credit Crunch” and Modeling of Bank Non-Contagion

Private Credit will not trigger a systemic global banking crisis like 2008, but acts as an extreme amplifier of sector volatility, generating a "sawtooth recession" in corporate credit with a structural rotation towards AI-Native. The analysis conducted by integrating the 7 quantitative layers (semantic NLP, macro DSGE, factor decomposition, Markov-switching regimes, quantum-classical portfolio optimization,…

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