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Tag: BIS

Close-up of two golden Bitcoin coins on a tablet screen displaying financial data.

Structural risk of private banking blockchains on Bitcoin and the crypto ecosystem

https://www.steelldy-indices.com JPMorgan's note from July 9, 2026 identifies a structural threat to Bitcoin and public cryptocurrencies: the rapid expansion of private and permissioned blockchains driven by commercial banks (Kinexys, JPM Coin, tokenized deposits, CBDCs). This trend, supported by settlement volumes exceeding $4 trillion on Kinexys, could siphon institutional demand for public digital assets by offering…

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A woman walking by the Palais de Justice in Genève, featuring Swiss and cantonal flags.

Criteria of Swiss Public Policy (Art. 17 PILA) in the Context of Recognition of Foreign Trusts (Hague Convention) and Asset Recovery (Civil Proceedings under the Federal Act on Debt Collection and Bankruptcy vs. Criminal Confiscation)

The immediate context involves an analysis of the New Zealand discretionary trust, Trust O|...|, focusing on the seizability of distributions and a villa in Vésenaz, financed by trust distributions. The central legal framework includes Articles 17 and 18 of the Swiss Private International Law Act, the 1985 Hague Convention, and Swiss confiscation law. The analysis…

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From above ten dollar banknote with inscription and United States treasury building placed on table

Foreign state and institutional holdings of US Treasuries since the escalation of the Iranian conflict

We use exclusively verifiable public data, collected and processed by our Steelldy Risk Engine 3.4 infrastructure and Bloomberg Intelligence modules: - Treasury International Capital (TIC): Monthly and annual reports, raw and adjusted data for valuation and hedging effects, broken down by country and maturity (source: Treasury.gov). - Official reserve flows: IMF COFER (Currency…

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Smoke billows from factory chimneys in Konin, Poland, highlighting pollution and environmental impact.

Navigating the Nuances: Synthetic Carbon Credits and Their Hidden Dangers

Synthetic carbon credit tokens provide derivative exposure to carbon markets (e.g., ICE EUA, voluntary indices) via futures, total return swaps, or oracle-replicated performance, without physical custody or retirement of underlying credits. This delivers operational efficiency (fractionalization, 24/7 liquidity, reduced verification costs) but introduces material counterparty risk (issuer solvency/fulfillment), basis/tracking error risk (deviation from reference index…

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Close-up of a finance article on cryptocurrency with charts in the background.

Uniswap’s UNI Poised for Growth as Institutional Interest Surges with RWA Integration

Uniswap (UNI) has re-emerged with renewed institutional narrative momentum following Standard Chartered’s 15 June 2026 initiation of coverage, targeting $100 by end-2030 (~35–40x from ~$2.50–2.70 base; staged path: $6.50 EOY2026, $20 2027, $40 2028, $65 2029). The thesis hinges on tokenized Real-World Assets (RWAs) driving DeFi TVL to ~$2.7T (37x expansion) and Uniswap capturing dominant…

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Aerial landscape shot of a coastal oil refinery with storage silos under cloudy skies.

BIS/WEF Context on Transition Risks Compressing Long-Term Refining Margins: Carbon Tracker-Style Analysis and Quantitative Projections for TotalEnergies

Executive Summary Transition risks under 2°C pathways (IEA NZE/APS equivalents) drive structural demand destruction for refined products, compressing refining margins via volume contraction, utilization drops, and policy/carbon cost overlays. Carbon Tracker’s foundational 2017 “Margin Call” analysis projected >50% EBITDA decline by 2035 for ~94% of global capacity under a 2D scenario (oil demand -23%…

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A dimly lit TotalEnergies gas station at night in Nairobi, Kenya, featuring prominent signage.

Refiner Margin Squeeze and the 3:2:1 Crack Spread Signal: Technical Analysis with Focus on TotalEnergies (as of mid-June 2026)

Executive Summary The 3:2:1 crack spread serves as a primary proxy for gross refining margins, calculated as: 3:2:1 Crack Spread=2×PGasoline (bbl)+1×PDistillate/Heating Oil (bbl)−3×PCrude (bbl)3\text{3:2:1 Crack Spread} = \frac{2 \times P_{\text{Gasoline (bbl)}} + 1 \times P_{\text{Distillate/Heating Oil (bbl)}} - 3 \times P_{\text{Crude (bbl)}}}{3} where prices are typically futures-settled (e.g., WTI/RBOB/NYH HO for USGC benchmarks; Brent equivalents or regional baskets for Europe).…

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Construction of the Steelldy CCQI Index and Characterization of Carbon Credit Titles (TCC)

CCQI index and characterization of TCMs: Tracking Tokenization of RWAs and Carbon Credits 1.1 Methodology for the STEELLDY CCQI (Climate Credit Quality Index) 1.1.1 Definition and Objectives of the Index: Carbon Credit Quality Benchmark for the Voluntary Market The Climate Credit Quality Index (CCQI), developed by STEELLDY, is a proprietary benchmark for the quality of…

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