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Tag: MiCA

Detailed view of fiber optic patch cables connecting to a blue patch panel in a data center.

Private credit funds face elevated risks in 2026 from two distinct but overlapping AI-related channels

Private credit funds face significant 2026 risks from two AI-related channels: disruption to software borrowers and demand shortfalls in AI infrastructure. These are compounded by liquidity mismatches, sector concentration, and ties to insurers and pensions. Non-bank direct lending, via vehicles like BDCs, has heavily expanded into both areas, heightening vulnerability. Two Primary AI-Related Risk…

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SpaceX (SPCX). Probable Correction vs. Long-Term Trajectory

SpaceX (SPCX) faces a probable short-term correction of ≥30% (62-78% probability) from current levels (~$141-146), driven by negative convexity, retail unwind, and liquidity spirals, while long-term (3-10 years) appreciation remains significant. The company is transitioning from a launch and constellation firm to a multi-planetary spatial infrastructure, data, and AI platform with increasing returns and…

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Tokenized Municipal Micro-Bonds

Tokenized Municipal Micro-Bonds. We use the XRPL infrastructure to issue tokenized bonds funded by urban tolls… and local property taxes from specific neighborhoods. Steelldy provides the Risk Engine to rate these micro-bonds in real time via local OSINT. The shift from appreciation tokens to yield structures represents the true institutional inflection point for RWAs. It…

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Formalization, calibration, and integration of PII 1.0 into a risk framework for stablecoin transparency, per BIS June 23, 2026 alert

The press release from the Bank for International Settlements (BIS) acknowledges that the transparency of stablecoin ledgers exposes bank positions to the entire market, dismantling the historical information asymmetry. To quantify this phenomenon and guide investment decisions as well as technological deployment, we have constructed the Proprietary Integrity Index 1.0 (PII 1.0), a normalized composite…

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Quantum-Classical Hybrid Optimization framework for after-tax portfolio allocation under regime constraints

The Quantum-Classical Hybrid Optimization framework for after-tax portfolio allocation under regime constraints integrates quantum variational algorithms (e.g., QAOA, VQE, Hybrid HHL++) with classical solvers (convex optimization, MPC) to solve high-dimensional, non-convex problems involving tax-aware objectives, Markov-switching regimes (market, volatility, regulatory/tax), counterparty/basis risks, and fiscal uncertainty in synthetic carbon credit tokens. This hybrid approach addresses the…

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Analysis of the paradigmatic transition towards a “Digital Bretton Woods” and quantitative modeling of the risks/returns of Real World Asset (RWA) Tokenization

We are not in a classic crypto cycle; we are witnessing the commoditization of the settlement layer. Bretton Woods I (1944) used a gold-pegged dollar settled via correspondent banks (SWIFT/CHIPS). The current regime (post-1971) relies on the petrodollar and sovereign debt. Bretton Woods 2.0 is based on a Dual Pillar Regime: 1. Physical Pillar…

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