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Geopolitical and Institutional Constraints on Adaptive Market Efficiency -- A Feasibility Diagnostic for Robust Portfolio Construction

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  • Roberto Garrone

Abstract

This paper develops a structural framework for characterizing the informational feasibility of financial markets under heterogeneous institutional and geopolitical conditions. Departing from the assumption of uniform and time-invariant market efficiency, adaptive efficiency is conceptualized as a localized and state-dependent property emerging from the interaction between economic scale, institutional enforcement, and geopolitical embedding. To operationalize this perspective, the paper introduces the Geopolitical-Adaptive Efficiency Ratio (GAER), a descriptive cross-sectional indicator measuring the concentration of adaptive-efficiency-supporting mass within institutionally and geopolitically central assets. GAER is not a return-predictive signal, factor, or regime classifier. Instead, it functions as a diagnostic boundary condition, delimiting the domain in which ranking-based and robustness-oriented portfolio construction methods are plausibly applicable. The framework integrates insights from adaptive market theory, institutional economics, and political economy, linking disclosure continuity, liquidity provision, and enforcement credibility to the persistence of informational signals in asset prices. GAER is formalized, its theoretical properties are discussed, and its interpretation is illustrated using a global equity snapshot based on publicly observable information. The contribution separates informational feasibility from portfolio construction and execution, providing a conceptual foundation for constraint-aware financial modeling without reliance on forecast-driven assumptions or parametric optimization.

Suggested Citation

  • Roberto Garrone, 2026. "Geopolitical and Institutional Constraints on Adaptive Market Efficiency -- A Feasibility Diagnostic for Robust Portfolio Construction," Papers 2601.05924, arXiv.org.
  • Handle: RePEc:arx:papers:2601.05924
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