Cross-Asset Strategy, Long Convexity & Dirty Dispersion

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Modern markets are dominated by structural passive and active flows, ETF creations, index rebalancing, structured product hedging, and cross-border capital movements that continually reshape volatility and correlation surfaces.

We position for volatility regime shifts — capturing asymmetric upside from both expansions and compressions in market volatility through selective exposure to index options, variance, and convex structures. Strategies are expressed as relative-value trades around key flow catalysts driven by idiosyncratic, seasonal, geopolitical, and systemic riskdynamics.

We exploit dislocations between index and single-stock volatility, where correlations break down and realized dispersion diverges from implied expectations. By combining volatility surfaces, structured-product hedging flows, and correlation modeling, we isolate relative-value trades that monetize crowding, skew, and sectoral rotation effects.

Our research framework integrates flow analytics, correlation modeling, and cross-asset linkages to identify structural dislocations across global markets. We continuously model passive ETF flows, dispersion thresholds, and macro-volatility spillovers to anticipate turning points driven by policy shifts, carry unwinds, and crowding dynamics.

We integrate execution, liquidity, and hedging strategies to convert insights into risk-balanced portfolios with scalable efficiency.

We observe structural flows, orient through quantitative and behavioral analysis, decide within defined risk limits, and act with precision.

This approach converts volatility from uncertainty into opportunity, guided by integrity, transparency, and rigorous risk control.