Roials Capital Firm & Team Directory

Roials Capital - Firm & Partners

The Boardroom (Leadership & Strategic Advisory)

Dr. Vincent deFilippo

Role: Senior Strategic Advisor

Bio: Principal at Vienna Capital Partners with 30+ years’ experience raising billions in equity and real estate across Asia, Europe, and the US. Ex-CEO of deFilippo Capitale (APAC), led landmark $6B Amaya exit. Expert in equity lending, energy PE, and global capital markets.

Jean-Romain Falconnet

Role: Senior Advisor (M&A & Transformation)

Bio: Executed $15B+ in M&A, divestitures, and exits, including a landmark PE-backed IPO. 20+ years at Galderma (EQT) as Head of Transactions. Switzerland-based Operating Partner delivering value protection in high-stakes transformations.

Anthony Minissale

Role: Senior Advisor (Structuring & Capital Markets)

Bio: 30+ years in global derivatives and financial services. Founder of AJM Partners; expert in quantitative asset models. Leads structuring of $100M+ funds for institutional LPs, aligning complex execution with institutional-grade deployment.

Richard Murbeck

Role: Senior Advisor (Infrastructure & Emerging Markets)

Bio: Founder of Eferio. Founded and exited Seavus Group (1,000+ staff) in 2020. Chairman of MALCEL PLC. 25+ years’ infrastructure execution across EMEA. Bridges global liquidity with operator expertise in telecom and energy assets.

Link: Interview

Jonas Hyltén

Role: Founder & Managing Partner

Bio: Leads capital execution mandates in Private Equity. Bridge between institutional investors and high-performance strategies. Drives institutional-grade fundraising and LP alignment through proprietary execution systems.

Global Partners & Execution

Nam Phong Ho

Role: Senior Advisor (Governance & Risk)

Bio: 25+ years at Glencore and Swiss multinationals. CFA, CIA, CISA, CFE, QIAL, CRMA. Architects LP-grade risk frameworks and global audit hubs to ensure institutional compliance and investor security.

Aiswarya Madhav

Role: Head of Quantitative Analytics

Bio: Head of Quantitative Analytics. Ex-BNP Paribas. Leads financial modeling and enforces institutional-grade reporting standards and risk protocols across all execution mandates.

Frank J. Braider III

Role: Partner (US)

Bio: Structures US capital partnerships in real assets and infrastructure. Decades of private-markets expertise, securing deep LP pipelines and institutional origination across North America.

Milos Djokovic

Role: Partner (Dubai)

Bio: Raised over $200 million across mandates leveraging Dubai family-office networks. Specializes in real assets to drive institutional fundraising and cross-border capital flow in the MENA region.

Omar Zidan

Role: Partner (Head of Digital Deal Architecture)

Bio: Partner leading Digital Deal Architecture. Architects proprietary AI-driven origination systems to algorithmically match global liquidity with off-market assets for accelerated execution.

Stefan Ahlén

Role: Partner (Stockholm)

Bio: Anchors the firm’s Stockholm headquarters with over 25 years of capital markets experience. Specializes in structuring Nordic deal flow for international placement, bridging local asset owners with global investors.

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Intelligence Report

Topological Asset Architecture Frameworks for Multi Layer Portfolios Using The Sovereign Protocol Technique

Published March 20, 2026 • Roials Capital Strategy

Institutional capital environments require architecture that is not only precise, but structurally invariant under stress, liquidity shocks, and regime transitions. Traditional portfolio engineering focuses on allocation models and risk overlays. Advanced sovereign grade portfolio engineering focuses on topology, invariants, and layered system behavior. Roials Capital applies The Sovereign Protocol technique to construct multi-layer portfolios that preserve structural coherence across cycles, volatility states, and macro reconfigurations. This article outlines the governing principles and operational framework for topological asset architecture using multi-layer constructs.

Layer L ogic, stability surfaces, and protocol based supervisory controls.

The Case for Topological Architecture Over Allocation Logic Conventional allocation approaches assume static relationships between asset classes and linear propagation of risk. In practice, capital systems behave as dynamic surfaces with curvature, friction, and gradient shifts.

Topology focuses on invariant properties of a system that do not change under transformation. In portfolio systems, these invariants include liquidity persistence, structural correlation channels, synthetic exposure bleed, and counterparty dependency nodes. A topological framework maps these invariants, protects them, and uses them as anchors across all macro phases. This is the foundation of The Sovereign Protocol technique.

Defining Multi Layer Portfolio Architecture A single portfolio plane cannot capture the complexity of institutional mandates. Multi layer architecture segments the capital structure into independent yet connected layers.

Each layer operates under a defined risk budget, liquidity profile, and strategic allocation mandate, ensuring alignment with the overarching institutional objectives while maintaining operational independence.

Layer C arries a distinct function, risk geometry, and governance constraint.

The architecture typically includes:

  • Liquidity layer
  • Yield extraction layer
  • Convexity layer
  • Volatility absorption layer
  • Sovereign hedge layer
  • Asymmetric growth layer
  • Black surface protection layer Each

Layer M: ust be independently stable and collectively coherent. Topology ensures continuity between layers without forcing correlation.

The Sovereign Protocol Technique The Sovereign Protocol is a supervisory framework that governs the construction and behavior of each portfolio layer. It is not a strategy.

It is not a risk model. It is a control architecture for multi-layer systems. Core principles include:

Layer C: apital systems. Core principles include:

  • Structural invariance first
  • Risk geometry before position sizing
  • Liquidity contour mapping
  • Path independent protection logic
  • Hierarchical decision order
  • Continuous topology scanning Under this protocol, architecture is primary and allocation is secondary.

Layer One: The Liquidity Base Geometry defines the foundational structure of the portfolio's liquidity framework. The first layer establishes the core liquidity constraints and boundary conditions within which subsequent layers operate.

Layer D: efines the liquidity topology of the portfolio. It maps three elements:

  • Liquidity velocity
  • Liquidity decay
  • Liquidity access friction A sovereign grade system requires a liquidity base that remains consistently accessible under compression scenarios.

The liquidity geometry creates a surface that all other layers reference. If this foundation weakens, every subsequent layer loses stability.

Layer L: oses coherence, every subsequent layer loses stability. For that reason, the liquidity

Layer I:

Layer I is engineered to operate with structural redundancy and minimal sensitivity to external volatility. Layer Two: Yield Extraction With Controlled Curvature is built on top of the liquidity geometry. Its purpose is consistent cash flow extraction with controlled risk curvature.

Layer I: s built on top of the liquidity geometry. Its purpose is consistent cash flow extraction with controlled risk curvature.

Curvature refers to how the yield system behaves as rates, spreads, or volatility shift. In a topological model, curvature must be bounded so that the system remains stable under structural perturbations.

Layer D: oes not distort the structure above or below it. This layer typically includes stable cash flow instruments, regulated yield structures, and controlled credit surfaces that do not introduce unbounded correlation.

Layer Three: Convexity Engineering. Convexity is the structural leverage embedded in the architecture. In traditional systems, convexity is treated as a byproduct. In sovereign systems, convexity is engineered deliberately. The objective is to create positive convexity without introducing excessive drift, basis risk, or cross-correlation.

Layer I: nterference. Convexity becomes a stabilizer rather than a destabilizer.

This phenomenon underscores the necessity of convexity in mitigating systemic volatility within multi-layered portfolio architectures.

Layer I:

Integrates controlled options logic, interest rate curvature, and synthetic convexity coding. The Sovereign Protocol mandates that convexity exposure must remain path independent, preventing convexity bleed during stress cycles. Volatility is not noise. It is structural pressure moving through markets. A topological architecture must absorb, redirect, and redistribute volatility without allowing it to propagate.

Layer I:

s designed to intercept volatility before it reaches the higher sensitivity layers of the portfolio. Mechanisms include:

  • Volatility surface mapping
  • Controlled dispersion logic
  • Local variance buffering
  • Low correlation hedging channels The volatility

Layer I:

s strictly governed to avoid synthetic correlation creation. If volatility accumulates in this layer, the protocol triggers redistribution before it can distort the system.

Layer Five: Sovereign Hedge Layer This layer protects the structural integrity of the entire system. It is not hedging in the conventional sense but rather structural counterforce architecture that activates when macro surfaces shift. The Sovereign Protocol defines macro surfaces as large-scale regime vectors that alter the topology of global markets, such as currency realignment, liquidity contraction, and systemic deleveraging. The sovereign hedge layer stabilizes the architecture by applying controlled force opposing the regime vector. It is engineered to remain dormant until activation is required.

Layer C: aptures upside without destabilizing lower layers. Conventional growth strategies often leak downward, contaminating defensive layers.

Topological architecture prevents leakage by isolating asymmetric growth components and binding their risk geometry to the protocol. The growth layer uses:

  • Structural trend mapping
  • Non linear upside engines
  • Factor independent growth channels This

Layer I: s designed for high autonomy. It contributes to performance but cannot damage the portfolio if volatility spikes or macro regimes change.

Layer Seven: Black Surface Protection Layer. Every portfolio needs catastrophic protection. This layer ensures resilience against extreme tail events, safeguarding capital even when volatility spikes or macro regimes shift abruptly.

Layer I:

s engineered for rare events that deform the entire topology of global markets. Black surface events include:

  • Multi regime crashes
  • Currency instability
  • Rapid liquidity freeze
  • Systemic volatility inversion Protection here must be absolute, not tactical.

The topological model treats black surface protection as a structural boundary, ensuring the portfolio remains intact under extreme deformation. Interconnectivity between layers is calibrated to absorb systemic shocks without cascading failure.

Layer C oherence Mapping A multi layer portfolio is not simply stacked.

It is integrated through coherence mapping. Coherence mapping defines how each layer interacts with the others, ensuring alignment across the portfolio’s structure.

Layer C: ommunicates with others without transmitting instability. Three rules apply:

  • No upward instability flow
  • No downward friction escalation
  • No cross

Layer C orrelation amplification The Sovereign Protocol uses invariants to enforce these rules.

Every invariant enforced by the Sovereign Protocol is designed to amplify correlation across Layer C, ensuring structural integrity within the topological framework.

Layer C ommunicates through controlled channels that are monitored for distortions.

If distortion emerges, correction protocols activate.

Invariant Structures in Portfolio Topology Invariants are the backbone of sovereign grade architecture. They define what must remain unchanged regardless of volatility, liquidity conditions, or macro pressures.

Key invariants include:

  • Liquidity access
  • Convexity boundaries
  • Volatility absorption capacity
  • Hedge activation triggers
  • Growth

Layer I:

ndependence By protecting these invariants, the system remains structurally stable.

Protocol Based Risk Geometry Risk in a topological model is not a number. It is geometry.

Risk geometry describes how exposure curves shift as conditions change. A well-designed risk geometry maintains smooth curvature, while poor geometry produces sharp gradients that trigger instability. The Sovereign Protocol focuses on smoothing these gradients so no single layer becomes a failure point. Multi-layer architectures must account for this dynamic to preserve structural integrity under varying market conditions.

Layer C: apital Flow Dynamics Capital does not remain static. It flows within the architecture in response to stress, opportunity, or policy shifts.

The objective is to ensure these flows do not distort structural coherence. The protocol manages capital flow through:

  • Priority rules
  • Redistribution circuits
  • Pressure limit channels
  • Layer stabilizers The result is a portfolio that adapts without losing shape.

Sovereign Grade Stress Modelling Stress modeling must reflect topology rather than linear projections. The protocol uses surface deformation simulations that track how the architecture bends under pressure.

It focuses on:

  • Curvature shifts
  • Liquidity fractures
  • Correlation spikes
  • Hedge activation patterns Stress testing is continuous rather than periodic.

This ensures the architecture is always running within safe boundaries.

Long Horizon Stability Architecture Institutional capital requires long term coherence rather than short term optimization. Topological architecture enables multi decade stability.

Long horizon engineering includes:

  • Slow cycle liquidity mapping
  • Regime neutrality
  • Self healing risk geometry
  • Controlled evolution of layers The Sovereign Protocol ensures that as markets evolve, the architecture evolves in a structurally consistent way.

Strategic Advantages of Topological Multi Layer Frameworks The architecture provides four institutional advantages :

  • Predictable stability under uncertainty
  • Controlled growth with bounded risk
  • Protection against structural market shifts
  • Reduced reliance on forecasting The system is built to remain functional even when models fail or macro conditions surprise.

Implementation Considerations Institutions integrating The Sovereign Protocol into portfolio operations must :

  • Build layer specific mandates
  • Enforce invariant protection rules
  • Use continuous topology scanning
  • Maintain protocol based oversight The architecture becomes a living system that requires precise governance.

Summary

Institutional portfolios demand structural invariance under stress, liquidity shocks, and macro transitions. Roials Capital deploys *The Sovereign Protocol* to engineer multi-layered portfolios with topological architecture, preserving invariant properties (liquidity, correlation channels, exposure leakage) and independent risk-budgeted layers (liquidity, convexity, asymmetric growth). This ensures stability and coherence across all macro cycles.

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