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Tag: Hedge

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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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Gold coins scattered with a stock market graph and a percentage symbol on an orange background.

Why Gold’s Low Sharpe Ratio Masks Its True Value as a Strategic Tail-Risk Hedge

Gold (Sharpe 0.4-0.7, Volatility 12-15%) acts as a reserve asset, inversely correlated with the DXY. Its low Sharpe ratio is due to no carry yield and custody costs, but it offers absolute decorrelation during systemic geopolitical shocks. Physical gold is now central to monetary influence wars (BIS Basel 2024-2025). Steelldy Engine 3.8 and Planet Labs…

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Gold vs. Bonds: As Central Banks Hike Rates, Investors Ditch the Yellow Metal for Yield

Gold is currently weakening despite inflation, due to several key factors. In May, Germany’s inflation rate was surprisingly moderate at 2.6% annually, significantly lower than the eurozone’s 3.2%. This deviation from the European trend was primarily driven by a temporary fuel subsidy introduced by the German government, which reduced gasoline and diesel prices. However, this…

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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 a Conditional Hedge via MNQ Micro E-mini Nasdaq Short. Calibration on BTC Beta=0.45

This study details an advanced quantitative modeling of a conditional hedge for a crypto-exposed portfolio, employing Micro E-mini Nasdaq-100 (MNQ) futures contracts as the hedging instrument. The calibration is based on a dynamic conditional beta of BTC/Nasdaq at 0.45, estimated using a multivariate DCC-GARCH(1,1) model with Markov regime switching. Key Findings: ¤ Minimum Variance Hedge…

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