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

Structural Alpha in Asset Based Liquidity Engineering: Engineered Reliability

Published November 26, 2025 • Roials Capital Strategy

The capital vacuum across North American and European lower mid market operators is the product of regulatory compression and risk model recalibration, not a shortage of real asset value. The current environment rewards allocators who understand that structural alpha is increasingly generated through balance sheet architecture rather than traditional equity selection. Engineered reliability inside Asset Based Liquidity Engineering has become one of the few persistent sources of non correlated value creation because it converts operational certainty into institutional grade optionality.

The Regime Shift

The post 2022 credit regime altered the foundations of liquidity distribution. Banks moved from relationship lending to regulatory survival. Basel III end game pressures forced contraction in sectors with capital intensive operating models. The result was a bifurcation: high quality assets with predictable cash flow profiles were being discounted due to mechanical de risking at the bank level rather than deterioration at the asset level.

Capital Withdrawal

Traditional lenders scaled back exposure to real asset operators with long duration inventory cycles. Loan renewals were reduced or converted to shorter maturities, creating refinancing cliffs across energy services, industrial logistics, and asset heavy mid market enterprises.

Valuation Drift

Lower mid market operators continued generating stable operational cash flows, yet their borrowing bases became decoupled from intrinsic asset value because lenders applied static or artificially conservative LTV curves.

Supply and Demand Asymmetry

Demand for liquidity remains constant, but supply from regulated institutions contracted. This produced an arbitrage window for private allocators who specialize in structured credit, asset based valuation modeling, and engineered cash flow capture. The inefficiency is structural because it originates from policy constraints rather than operator fundamentals. Capital scarcity is incorrectly interpreted as risk. The disconnect creates an opportunity for disciplined liquidity engineers who can transform constrained balance sheets into hardened institutional grade assets.

Technical Mechanics of Asset Based Liquidity Engineering

Asset Based Liquidity Engineering is the disciplined process of extracting functionality, recoverability, and security value from operational assets that traditional lenders have undervalued. Structural alpha arises not from leverage, but from efficient mapping of real economic value to financial architecture. Key technical components:

1. Asset Hardening

It is the conversion of operational infrastructure into a clearly defined collateral spine. The goal is to eliminate ambiguity surrounding recoverability, resale dynamics, and monetization timing. Hardening typically involves:

  • Third party asset audits, independent verification of remaining productive life, depreciation curves, and replacement cost benchmarks.
  • Marketability modeling, assessment of absorption capacity for specific asset classes if remarketed at various liquidation horizons.
  • Functional valuation, weighting value based on operational utility rather than book value or lender dictated decay schedules.

Hardening increases the reliability of the collateral base, which improves the precision of credit modeling and the strategic confidence of institutional lenders.

2. Liquidity Architecture

This converts a hardened asset base into a structured facility optimized for duration, velocity, and operational alignment. Distinct categories include:

  • Revolving ABL structures with utilization gates calibrated to real time operational cycles.
  • Term secured facilities structured to match revenue conversion speed rather than arbitrary amortization calendars.
  • Hybrid structures, typically used in Fund-III buyout platforms or add on acquisitions where working capital needs fluctuate during integration phases.

The architecture must reflect the natural cadence of the business. When alignment is achieved, delinquency risk declines without requiring excessive collateral haircuts.

3. Engineered Reliability

This discipline is the core alpha generator, the intentional design of credit structures that perform predictably under variable operating conditions. Reliability is engineered through:

  • Conservative but realistic LTV curves linked to real market tradability, not bank risk quotas.
  • Cross collateralization matrices that ensure value resilience if individual asset clusters fluctuate.
  • Cash flow waterfalls that prioritize visibility, not extraction.

The objective is consistent paydown speed relative to asset productivity. Engineered reliability produces stability premiums. In a market defined by volatility, stability itself becomes alpha.

4. Opportunity Velocity

Capital cycles more quickly through asset based structures than traditional buy and hold credit. Paydowns correspond to operational throughput. Re deployments follow the same logic. Institutional allocators gain velocity because they are exposed to real economic movement rather than the inertia of fixed term instruments.

Velocity enhances compounding potential without requiring increased risk posture. This is why many European and Middle Eastern allocators have begun shifting from passive credit exposure to controlled ABL strategies.

The Partnership Model

Roials Capital functions as a strategic navigator within this landscape.

The Mandate

Our mandate is not to lend, operate, or manage external assets. It is to deliver institutional clarity, operator-specific intelligence, and partner curation for allocators who require structural certainty.

1. Strategic Alignment

Roials Capital maps allocator objectives to real asset ecosystems where liquidity engineering is structurally required. This avoids model drift and ensures that engagements remain aligned with the allocator's risk profile, duration preferences, and mandate constraints.

2. Market Navigation

Roials Capital provides allocators with operational intelligence across North American energy, European private credit, Nordic industrial services, and cross border ABL opportunities.

3. Institutional Introduction

Roials Capital arranges introductions, not transactions. The emphasis is on intelligence transfer, partner suitability, and operational congruence between allocators and operators. When the focus is Fund-III buyouts or European mandates, introductions focus on operators with demonstrated stewardship and measurable value conversion discipline.

The Stewardship Filter

Stewardship is not a moral abstraction. It is a technical discipline.

It governs whether capital is applied with precision or wasted through poor allocation sequencing. Proper stewardship produces the conditions for structural alpha because it prevents value leakage at the operational and capital architecture levels. Stewardship follows four filters:

  • Non wasteful deployment. Capital must move only when the asset profile justifies it.
  • Predictable conversion. Operators must demonstrate consistent translation of capital into operational returns, not theoretical projections.
  • Balance sheet sustainability. Structures must preserve optionality. They cannot create dependency or forced refinancing events.
  • Measured expansion. Growth must follow proven recovery of invested capital, ensuring that velocity remains anchored to real performance. Stewardship is the differentiator between engineered reliability and engineered fragility.

A Decision Making Lens for the Allocator

Allocators navigating the current regime require a refined lens for evaluating real asset liquidity opportunities. The framework is straightforward:

  • Identify environments where capital scarcity is policy driven, not performance driven.
  • Confirm that the operator ecosystem has predictable operational cadence.
  • Validate that the asset base can be hardened.
  • Map LTV curves to intrinsic value, not lender constraints.
  • Ensure the structure produces engineered reliability.
  • Confirm that the cycle time supports opportunity velocity.
  • Engage only through a strategic partner who maintains neutrality and alignment.

This is the environment where Asset Based Liquidity Engineering produces structural alpha. Not through leverage, but through clarity. Not through risk seeking, but through disciplined calibration. Roials Capital provides confidential strategy audits for institutional allocators seeking to evaluate alignment with Fund-III buyouts, ABL structures, or North American energy introductions. The objective is calibration, not solicitation.

Summary

Regulatory compression and risk-model adjustments have created a capital shortfall for lower mid-market operators in North America and Europe, despite stable asset valuations. Structural alpha now stems primarily from balance-sheet architecture, where Asset-Based Liquidity Engineering converts operational collateral into institutional optionality. This represents an uncorrelated value-creation source.

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