How Decentralized Lending Is Quietly Rewriting Private Credit’s Competitive Rules

Private credit has operated on a relatively stable playbook for decades: relationship-driven origination, negotiated terms, and collateral structures designed for traditional asset classes. That playbook is being stress-tested by a parallel system that executes credit decisions through code rather than committees. Decentralized lending platforms—protocols that match borrowers and lenders using smart contracts on blockchain networks—have grown from a niche experiment into a market exceeding $15 billion in total value locked across major protocols.

The implications extend beyond competition for yield-seeking capital. DeFi lending introduces operational characteristics that traditional private credit cannot easily replicate: continuous liquidity rather than locked fund structures, instant settlement rather than multi-week closing timelines, and programmable loan terms that can embed complex covenants directly into executable code. For private credit professionals, the question is not whether this system will influence credit markets, but how to position within a landscape where both borrowers and capital providers have new options. Institutional investors managing fixed-income allocations are already noting that DeFi protocols offer exposure to credit risk with liquidity profiles that more closely resemble high-yield bonds than traditional private credit funds. This structural shift demands attention not because DeFi will replace private credit, but because the competitive dynamics between these two channels for deploying capital are becoming material to pricing, structuring, and origination strategy.

Regulatory Frameworks Across Major Jurisdictions

The regulatory landscape for decentralized lending remains fragmented, with jurisdictions taking fundamentally different approaches to the core question of how to classify and govern credit activities conducted through smart contracts. Understanding this patchwork is essential for any institution considering capital allocation, because compliance requirements vary dramatically depending on where protocols are deployed, where counterparties are located, and how lending activities are structured technically.

The European Union has pursued the most comprehensive framework through its MiCA regulation and the pending DLT Regulation, which together create a pathway for authorized service providers to offer crypto-asset related activities—including lending—under a harmonized licensing regime. EU-based protocols or those seeking to serve European users increasingly structure operations to obtain MiCA authorization, which provides passporting rights across member states and establishes clear capital and custody requirements. This regulatory clarity has attracted some institutional players who prefer operating within established supervisory frameworks, though the compliance burden remains substantial.

The United States continues to operate under a more fragmented regime where securities law, commodities law, and state-level money transmission requirements overlap. The SEC’s enforcement-focused approach to DeFi has created uncertainty, with several protocols receiving Wells notices or facing actions that treat tokenized lending activities as unregistered securities offerings. This enforcement risk has caused many U.S.-focused institutions to limit participation to protocols that clearly structure their activities outside U.S. jurisdiction or to engage only through separately managed entities with specific regulatory approvals. The absence of comprehensive federal legislation means institutions must navigate a state-by-state licensing framework for any activities that could be characterized as money transmission.

Asia presents another mosaic of approaches. Hong Kong has moved to establish itself as a DeFi-friendly jurisdiction within Asia, licensing virtual asset trading platforms and creating pathways for institutional DeFi participation under its new regulatory framework. Singapore maintains a technology-neutral approach through its Payment Services Act, which licenses crypto-related activities while emphasizing that the underlying technology does not change the fundamental nature of regulated financial services. Japan has taken a cautious approach focused on investor protection, requiring licensed exchanges to offer crypto-related services rather than permitting direct protocol-level engagement. These jurisdictional differences mean that institutional participation strategies must be architected with geographic segmentation in mind, selecting protocols and participation structures based on regulatory fit rather than yield optimization alone.

Institutional Capital Allocation Patterns

Institutional capital entering DeFi lending does not follow a uniform thesis. Rather, deployment patterns cluster around distinct risk-return objectives that map onto different segments of an institution’s portfolio construction. Understanding these patterns helps explain why aggregate DeFi lending volumes can grow substantially even when traditional private credit markets remain stable—the capital sources are often different, and the strategic motivations vary significantly.

The first allocation pattern centers on yield enhancement within established risk budgets. Family offices and hedge funds with mandates allowing crypto-asset exposure have deployed capital into DeFi lending protocols as a source of uncorrelated yield, accepting smart contract and oracle risks in exchange for returns that typically exceed traditional fixed-income alternatives by 200 to 500 basis points. This allocation typically represents a small percentage of overall portfolio capital—often under 5%—but provides meaningful contribution to net yield in a low-rate environment.

A second pattern involves strategic positioning for future capability development. Some investment firms, particularly those with private credit origination platforms, are deploying modest sums into DeFi lending to develop operational expertise, understand protocol mechanics, and build relationships with protocol governance communities. These institutions treat the capital as an educational investment rather than a return optimization play, accepting lower or negative returns in exchange for faster learning curves.

The third pattern reflects balance sheet efficiency plays, where institutions with existing crypto holdings use DeFi lending to generate yield on assets that would otherwise sit idle. This is particularly common among crypto-native institutions and increasingly among traditional financial firms that have acquired digital assets through other business lines. The yield earned through lending these assets provides positive carry without requiring new capital deployment, making it an efficiency optimization rather than a strategic allocation decision.

Allocation Pattern Typical Capital Deployment Return Expectation Primary Motivation
Yield Enhancement $1M-$10M per institution 8-15% APY Portfolio yield contribution
Strategic Learning $100K-$500K per institution Breakeven to modest loss Capability development
Balance Sheet Efficiency Variable based on crypto holdings 4-8% APY Idle asset yield generation

These patterns coexist within the broader DeFi lending market, meaning that aggregate volume statistics can obscure the different motivations driving institutional participation. A protocol showing rapid growth may be attracting yield-seekers, capability-builders, or balance-sheet optimizers—and each group brings different expectations regarding risk management, liquidity, and engagement duration.

Key Institutional Players and Entry Strategies

The institutions that have moved earliest into DeFi lending have developed operational playbooks that subsequent entrants now study and adapt. These first-movers span the investment spectrum from crypto-native hedge funds seeking yield optimization to traditional asset managers testing emerging technology themes, and their entry strategies reveal practical considerations that pure return analysis often overlooks.

Crypto-native hedge funds remain the most active institutional participants, deploying capital through both on-chain wallets and through intermediaries that provide wrapped token exposures. These funds typically operate with internal smart contract security capabilities or engage specialized third-party auditors, allowing them to assess protocol risk in real-time rather than relying on external ratings. Their entry strategies emphasize speed of execution and the ability to reallocate rapidly across protocols, using multi-sig infrastructure and automated yield optimization strategies that maximize returns across the DeFi landscape.

Traditional financial institutions have approached DeFi lending more cautiously, often through separately managed entities or dedicated subsidiaries that isolate crypto-related activities from core operations. Several major investment banks have explored DeFi lending through pilot programs, deploying modest sums to understand operational workflows, custody requirements, and regulatory implications before committing larger capital allocations. These institutions typically partner with specialized DeFi infrastructure providers that handle the technical complexity of interacting with protocols while maintaining institutional-grade custody and reporting standards.

The entry strategies that have proven most sustainable share common elements: clear internal approval frameworks for smart contract risk exposure, dedicated operational teams with blockchain-native skills, and custodial arrangements that maintain institutional control over private keys and assets. Institutions that attempt to participate in DeFi lending using existing private credit infrastructure—same teams, same workflows, same custody arrangements—consistently encounter friction that reduces returns and increases operational risk. The successful entrants have recognized that DeFi lending requires differentiated capabilities and have invested accordingly.

Yield Dynamics – DeFi Lending Versus Traditional Private Credit Returns

Comparing DeFi lending yields to traditional private credit returns requires more than a simple percentage comparison. The structural differences between these two channels for deploying credit capital create yield premiums and discounts that must be understood before meaningful conclusions can be drawn. Institutions that compare raw APY figures without accounting for these structural factors consistently misjudge the risk-adjusted attractiveness of DeFi lending opportunities.

DeFi lending protocols currently offer deposit rates ranging from 3% to 12% annually across major assets, with substantial variation based on asset type, protocol, and market conditions. USDC deposits on established protocols like Aave or Compound typically yield 3% to 5%, while exposure to more volatile crypto assets or newer protocols can offer 8% to 15% or higher. These yields reflect the intersection of supply and demand for crypto-denominated loans, with borrowing demand driven by leveraged positions, short-selling, and arbitrage strategies that are largely absent from traditional credit markets.

Traditional private credit yields vary dramatically by strategy and market segment, but institutional-quality deals typically target 8% to 12% net returns with significant spread between senior secured positions and subordinate or unitranche structures. Direct lending to middle-market companies commonly generates 10% to 12% gross yields, while distressed credit can achieve 15% or higher with substantially different risk profiles.

The comparison becomes meaningful when adjusted for structural differences. DeFi lending provides instant liquidity with the ability to withdraw principal at any time—a characteristic that traditional private credit cannot match without significant secondary market discounts. DeFi lending returns do not include origination fees, legal costs, or due diligence expenses that erode net yields in private credit transactions. However, DeFi lending exposes participants to smart contract risk, oracle failure risk, and the potential for rapid liquidation during volatile market conditions—risks that have no direct equivalent in traditional private credit structures.

Yield Component DeFi Lending Traditional Private Credit
Base Yield Range 3-15% APY 8-12% net returns
Liquidity Premium/Discount Fully liquid (no discount) Locked capital (illiquidity premium baked into yield)
Fee Structure No origination fees 1-3% origination, legal, arrangement fees
Risk Exposure Smart contract, oracle, liquidation Credit, covenant, operational
Return Certainty Variable daily Contractual with covenant protections

The appropriate comparison framework treats DeFi lending as a distinct asset class with its own risk-return characteristics rather than a direct substitute for private credit. For institutions seeking yield enhancement, DeFi lending offers attractive returns with liquidity that exceeds traditional alternatives—but only when smart contract and oracle risks are properly assessed and managed within the portfolio construction framework.

Risk Architecture for Decentralized Credit Platforms

Risk management for decentralized credit platforms requires a framework that maps traditional credit analysis skills onto fundamentally different risk vectors. Private credit professionals bring sophisticated skills in underwriting, covenant design, and workout management, but these skills translate imperfectly to DeFi contexts where borrower relationships are pseudonymous, loan terms are standardized, and workout processes are automated rather than negotiated. Building an effective risk architecture means identifying where traditional skills apply, where they require adaptation, and where entirely new capabilities must be developed.

The risk architecture for DeFi lending can be decomposed into four primary layers that interact in complex ways. Smart contract risk addresses the probability and impact of code-level failures that could result in loss of principal or unexpected protocol behavior. Oracle risk considers the reliability and integrity of price feeds that determine collateral valuations and liquidation triggers. Liquidity risk examines the depth and resilience of markets where positions can be entered or exited, recognizing that DeFi’s instant liquidity can evaporate during market stress. Counterparty risk, while less relevant for protocol-level lending where smart contracts replace intermediaries, reappears when considering stablecoin issuers, wrapped asset custodians, and other infrastructure dependencies.

These risk layers do not operate independently. Smart contract vulnerabilities can trigger oracle failures through complex interactions. Liquidity conditions during market stress can cause oracle prices to deviate from broader market prices, triggering cascading liquidations that accelerate price declines. The interconnected nature of DeFi protocols means that risk assessment cannot focus on individual protocols in isolation but must consider exposure to the broader ecosystem through shared infrastructure dependencies.

Effective risk architecture for institutional DeFi lending participation typically incorporates multiple defensive layers: protocol selection criteria that prioritize security track records and audit histories, position sizing limits that constrain exposure to any single smart contract failure, monitoring systems that track oracle health and liquidity conditions in real-time, and exit procedures that can be executed rapidly when risk indicators deteriorate. The most sophisticated institutional programs also maintain relationships with smart contract auditors and DeFi security researchers who can provide early warning of emerging vulnerabilities.

Smart Contract Vulnerabilities and Mitigation Strategies

Smart contract risk represents the most distinctive risk category in DeFi lending because it has no meaningful equivalent in traditional credit analysis. When a private credit fund underwrites a loan, the primary risks are credit quality, collateral value, and covenant compliance—areas where decades of analytical frameworks and institutional experience provide reliable guidance. Smart contract risk requires a different analytical lens, one that examines code quality, economic design, and governance structures to assess the probability that a protocol will behave as intended under all market conditions.

The historical record of smart contract failures provides a sobering baseline for risk assessment. Since 2016, DeFi protocols have experienced dozens of significant exploits resulting in hundreds of millions of dollars in losses. These have included reentrancy attacks that drain protocol reserves, oracle manipulation exploits that create profitable liquidation opportunities for attackers, and flash loan attacks that exploit pricing discrepancies across interconnected protocols. The common thread across many successful attacks is the assumption that rational market behavior and economic incentives will prevent exploitation—an assumption that sophisticated attackers systematically violate.

Institutional-grade mitigation strategies for smart contract risk combine several complementary approaches. Code audit by established security firms provides baseline confidence but should not be treated as a guarantee; many significant exploits have occurred in audited protocols where auditors did not identify the specific vulnerability that was later exploited. Formal verification—mathematical proof that code behaves as specified—provides stronger guarantees but remains expensive and is not yet standard practice across DeFi protocols. Time-weighted exposure, where capital deployment increases gradually as protocols demonstrate operational stability, allows institutions to benefit from early participation while limiting exposure to undiscovered vulnerabilities.

Mitigation Layer Approach Strength Limitation
Code Audit Third-party security review Identifies known vulnerability patterns Does not guarantee completeness
Formal Verification Mathematical correctness proofs Strong assurance against spec violations Expensive, limited protocol coverage
Time-Weighted Deployment Gradual position building Limits exposure during learning period Reduces yield during ramp-up
Bug Bounty Programs Community vulnerability reporting Leverages broad security researcher community Depends on bounty attractiveness

The most effective institutional programs recognize that smart contract risk can never be eliminated and instead focus on building resilient portfolios that can absorb individual protocol failures without catastrophic portfolio-wide impact. This means diversification across protocols, chains, and risk profiles; position sizing that limits maximum loss from any single exploit; and continuous monitoring that can detect anomalous behavior before exploits complete.

Collateralization Standards and Liquidation Mechanisms

The overcollateralization model that characterizes most DeFi lending creates risk profiles that differ fundamentally from traditional credit structures. Where traditional private credit relies on loan-to-value ratios that may range from 60% to 80% for senior positions, DeFi lending typically requires 120% to 150% collateralization or higher, with the excess serving as a buffer against volatility and the automated liquidation mechanism ensuring that collateral is liquidated before the loan becomes undercollateralized. This apparent redundancy creates both strengths and weaknesses that private credit professionals must understand when evaluating DeFi lending opportunities.

The strength of the overcollateralization model lies in its predictability. Unlike traditional credit, where workout processes involve negotiation, legal proceedings, and uncertain recovery timelines, DeFi liquidation mechanisms execute automatically when collateral ratios breach defined thresholds. This eliminates the information asymmetry and agency problems that complicate traditional credit recovery. A well-designed liquidation mechanism sells collateral gradually enough to avoid excessive slippage while quickly enough to prevent the position from remaining undercollateralized as prices decline.

However, the same mechanisms that provide predictability also create acute risks during market stress. Flash crashes—rapid price declines that occur within minutes or seconds—can trigger cascading liquidations as automated systems sell collateral into already-declining markets. The March 2020 crypto market crash and the May 2022 TerraUSD collapse demonstrated how liquidation cascades can amplify market declines far beyond what fundamentals would suggest. Institutions participating in DeFi lending are exposed to these systemic dynamics through their collateralized positions, even if individual loans remain well-collateralized on paper.

The practical implication for institutional risk management is that collateralization ratios and liquidation mechanics must be evaluated not as static parameters but as dynamic systems whose behavior varies with market conditions. Protocols with aggressive liquidation thresholds may provide higher yields but will liquidate positions earlier during market stress, potentially realizing losses that a more conservative protocol would avoid. Understanding these dynamics requires analyzing protocol behavior during historical stress periods and modeling expected performance under various market scenarios rather than relying solely on current collateralization statistics.

Infrastructure Developments Enabling Enterprise Participation

The infrastructure layer connecting traditional financial institutions with DeFi lending protocols has matured substantially over the past three years, addressing many of the operational and technical barriers that previously limited institutional participation. This maturation—rather than yield attraction alone—represents the primary enabler of current institutional DeFi engagement, because institutions cannot deploy capital into systems they cannot access, secure, or integrate with existing operations.

Custody solutions have evolved from self-custody models requiring institutions to manage private keys directly to institutional-grade custody platforms that combine secure key management with DeFi connectivity. These platforms provide the operational infrastructure that traditional finance expects: multi-approval workflows, audit trails, segregation of duties, and integration with existing portfolio accounting systems. Several custody providers now offer dedicated DeFi access products that maintain institutional control standards while enabling direct interaction with lending protocols.

Connectivity infrastructure has similarly matured, with middleware providers offering standardized interfaces to multiple DeFi protocols through APIs that abstract the complexity of blockchain interaction. These systems handle transaction signing, gas optimization, and cross-chain operations, allowing institutions to participate in DeFi lending through existing operational workflows rather than requiring specialized blockchain expertise at every touchpoint. The result is that DeFi lending can be incorporated into broader portfolio management and risk systems rather than operating as a separate silo.

Reporting and compliance infrastructure has developed to meet institutional requirements for transparent position tracking, performance attribution, and regulatory reporting. The on-chain nature of DeFi actually provides advantages here—transactions are publicly verifiable, positions are transparently observable, and reconciliation is simplified compared to traditional private credit where positions may be recorded across multiple internal systems. Third-party providers now offer institutional-grade reporting tools that aggregate DeFi positions alongside traditional holdings, enabling unified portfolio views that meet board and regulator expectations.

This infrastructure maturation has created a pathway for institutional participation that was simply unavailable two years ago. Institutions can now engage with DeFi lending using familiar operational frameworks, familiar custody relationships, and familiar compliance processes—reducing the activation energy for capital allocation decisions. While infrastructure gaps remain in areas like cross-chain operations and complex DeFi strategies, the basic prerequisites for institutional-grade participation have been established.

Integration Protocols Connecting DeFi with Traditional Finance

The specific technical bridges being deployed between DeFi protocols and traditional financial infrastructure represent one of the most active areas of development in crypto finance. These integration protocols solve the fundamental problem of how to move value and information between systems that were designed with different assumptions about identity, settlement, and trust. Understanding these bridges is essential for institutions evaluating DeFi participation because they determine which strategies are operationally feasible and what infrastructure investments are required.

Cross-chain bridges enable assets to move between different blockchain networks, allowing institutions to access DeFi opportunities on multiple chains while maintaining custody on a preferred network. These bridges vary significantly in their security architecture—some rely on external validators, some use atomic swaps, and others employ liquidity provider networks that absorb settlement risk. The security track record of cross-chain bridges has been mixed, with several high-profile exploits targeting bridge infrastructure, making bridge selection an important risk consideration for multi-chain strategies.

Tokenization protocols that represent traditional assets on-chain have created pathways for DeFi-style lending against real-world asset collateral. These systems tokenize securities, real estate, or other traditional assets, creating digital representations that can serve as collateral within DeFi lending protocols. While still early in adoption, this development could eventually enable private credit assets to be deployed into DeFi liquidity pools, creating a genuine bridge between traditional credit origination and decentralized lending markets.

Enterprise middleware platforms offer pre-integrated connections to major DeFi protocols, handling the technical complexity of blockchain interaction through APIs that present DeFi opportunities in familiar formats. These platforms typically provide: unified access across multiple lending protocols, automated yield optimization, real-time position monitoring, and reporting integrations. For institutions without dedicated blockchain engineering teams, middleware platforms offer the most rapid path to DeFi participation—though they introduce dependency on the middleware provider’s continued operation and security.

Integration Type Primary Function Typical Users Key Considerations
Cross-Chain Bridges Asset movement between chains Multi-chain strategies Bridge security track record
Tokenization Protocols Real-world asset representation RWA lending strategies Legal and regulatory clarity
Enterprise Middleware Protocol access abstraction Institutions without blockchain teams Provider dependency, fee structure
Custody Integrations Secure key management All institutional users Custodian’s DeFi connectivity

The integration layer continues to evolve rapidly, with new protocols and platforms launching regularly. Institutions evaluating DeFi participation should assess not only current integration options but also the trajectory of infrastructure development, recognizing that capabilities available today may be obsolete within months while capabilities that are missing today may emerge quickly.

Conclusion: A Strategic Framework for Private Credit Professionals

Private credit professionals should approach decentralized lending not as a replacement for existing strategies but as a complementary capability that requires deliberate skill development and capital allocation decisions. The most effective positioning strategy treats DeFi lending as a distinct competency area with its own risk-return profile, rather than attempting to subsume it within existing private credit frameworks or dismissing it as unrelated to core business.

The strategic framework should address three foundational questions. First, what capital allocation is appropriate for DeFi lending within the broader portfolio construction? This allocation should reflect genuine assessment of the risk budget available for smart contract and oracle exposure, not simply a default percentage copied from other alternatives. Second, what operational capabilities must be developed or acquired to participate effectively? This includes custody arrangements, monitoring systems, and team skills that differ substantially from traditional private credit operations. Third, what timeline for capability building and capital deployment reflects realistic expectations? Attempting to accelerate timelines beyond operational readiness typically results in costly mistakes that undermine both returns and organizational confidence.

The institutions that will benefit most from DeFi lending over the coming years are those that build capabilities now—during a period of relative market stability and infrastructure maturation—rather than waiting for the space to mature further. Early capability building provides optionality: the ability to scale deployment quickly when market conditions favor DeFi lending, the institutional knowledge to assess new protocols and opportunities as they emerge, and the operational confidence to act decisively when appropriate. Waiting for complete regulatory clarity or perfect infrastructure may result in missing the window for first-mover advantage while still bearing the risks of late entry.

The strategic recommendation is not to maximize DeFi lending exposure but to develop genuine competency at a scale appropriate to the institution’s risk tolerance and strategic objectives. For some firms, this means deploying substantial capital and building dedicated teams. For others, it means modest pilot programs that provide learning without meaningful capital at risk. What is universally inappropriate is ignoring the space entirely or delegating DeFi exposure decisions to teams without the specialized skills required for effective risk management. The structural shift in credit markets is real, and positioning within it requires deliberate strategy rather than passive observation.

FAQ: Common Questions About Decentralized Lending for Private Credit Professionals

What minimum capital deployment makes sense for institutional DeFi lending participation?

The effective minimum depends heavily on the infrastructure and operational overhead required. With institutional-grade custody and middleware, allocations below $500,000 often fail to generate returns sufficient to justify the operational overhead. Below $100,000, the fixed costs of establishing DeFi capabilities typically exceed the yield contribution. Most institutions pursuing systematic DeFi strategies target allocations of $1 million to $5 million per protocol or strategy to ensure meaningful returns after operational costs. However, pilot programs designed for learning rather than return optimization can operate effectively at $100,000 to $250,000, treating the capital as an educational investment.

How should institutions staff for DeFi lending operations?

Effective DeFi participation typically requires a combination of blockchain-native technical skills and traditional finance operational experience. The technical component handles smart contract assessment, protocol interaction, and monitoring systems. The operational component ensures compliance with existing policies, integrates DeFi positions into portfolio reporting, and maintains custody relationships. Some institutions build these capabilities internally through hiring; others use a hybrid approach with internal oversight and external execution through specialized DeFi infrastructure providers. The minimum viable team is typically two to three people with complementary skills, though larger allocations justify larger teams.

What custody arrangements are appropriate for institutional DeFi participation?

Self-custody provides maximum control but requires substantial operational infrastructure that most institutions lack. Third-party custodians with DeFi connectivity offer the most practical path for institutions without existing crypto custody operations, providing the security frameworks and insurance coverage that traditional finance expects. The key evaluation criteria include: proof of reserves and audit capabilities, insurance coverage for hot and cold storage, integration with major DeFi protocols, and regulatory licensure in relevant jurisdictions. Major custody providers now offer DeFi-specific products that address these requirements.

How should DeFi lending returns be compared within a traditional portfolio context?

DeFi lending returns should be evaluated against comparable liquid alternatives rather than illiquid private credit positions, because the liquidity profiles differ fundamentally. A more appropriate comparison is against high-yield bonds, syndicated loans, or other liquid credit instruments with similar risk characteristics. This comparison highlights that DeFi lending yields are attractive for liquid credit exposure but must be adjusted for smart contract and oracle risks that have no direct equivalent in traditional fixed income. Reporting frameworks should present DeFi lending as a distinct asset class with its own risk-adjusted return characteristics rather than forcing comparison with illiquid private credit benchmarks.

What regulatory approval is required before deploying capital into DeFi lending?

The answer varies substantially by jurisdiction and the specific structure of participation. In the United States, institutions typically need internal approval for crypto-asset exposure within their investment guidelines, along with appropriate licensing if activities could be characterized as money transmission. In Europe, MiCA authorization or engagement with authorized service providers provides the clearest regulatory pathway. Beyond formal licensing, institutions must ensure that DeFi participation is consistent with existing regulatory obligations, including those related to client assets, segregation, and risk disclosure. Legal counsel with crypto-asset expertise should review specific participation structures before capital deployment.