Three Arrows Capital: A Crypto Hedge Fund Failure and Operational Due Diligence Lessons Custom Case Solution & Analysis

Section 1: Evidence Brief

Financial Metrics

Assets Under Management: Peak estimated at 10 billion USD in early 2022 [Exhibit 1].
Creditor Claims: Totaling approximately 3.5 billion USD following liquidation [Para 12].
Largest Single Creditor: Genesis Global Trading provided a loan of 2.3 billion USD [Exhibit 3].
Terra/Luna Loss: Direct loss of approximately 200 million USD to 600 million USD during the May 2022 collapse [Para 15].
Grayscale Bitcoin Trust (GBTC) Position: Held 38.9 million shares at peak, representing a significant portion of the fund portfolio [Para 8].

Operational Facts

Jurisdictional Shift: Moved registration from Singapore to the British Virgin Islands (BVI) shortly before the collapse [Para 4].
Custody Practices: Absence of independent third-party custodians; assets were often held on centralized exchanges or in private wallets [Para 11].
Reporting Frequency: Provided limited, non-standardized updates to creditors; lacked audited financial statements for the 2021-2022 period [Para 14].
Counterparty Structure: Engaged with over 20 institutional lenders, often using the same collateral to secure multiple loans [Para 18].

Stakeholder Positions

Su Zhu and Kyle Davies: Founders and primary decision-makers. Maintained a public image of extreme bullishness and high liquidity [Para 2].
Genesis and Voyager Digital: Major lenders who extended uncollateralized or under-collateralized loans based on reputation rather than verified data [Para 22].
Liquidators (Teneo): Appointed by BVI court to recover assets; faced significant challenges due to lack of founder cooperation [Para 25].

Information Gaps

Net Asset Value (NAV) Accuracy: The case does not provide a verified breakdown of NAV at the time of the Terra collapse.
Internal Risk Controls: Specific internal documents defining stop-loss limits or concentration caps are absent.
Collateral Re-hypothecation: The exact extent to which the same assets were pledged to different lenders remains unconfirmed.

Section 2: Strategic Analysis

Core Strategic Question

How can institutional lenders and investors distinguish between alpha-generating hedge funds and those whose returns are driven by unmanaged directional debt and asset-liability mismatches in volatile markets?

Structural Analysis

The failure of Three Arrows Capital (3AC) stems from three structural collapses:

Concentration Risk: The fund violated the principle of diversification by tying its survival to the Terra/Luna ecosystem and the GBTC arbitrage trade. When the GBTC discount widened and Terra collapsed, the fund had no hedge.
Transparency Asymmetry: 3AC utilized its reputation to bypass standard institutional checks. Lenders accepted opaque balance sheets, creating a systemic risk where one default triggered a cascade.
Liquidity Mismatch: The fund used short-term borrowed capital to fund long-term, illiquid positions in venture capital and locked tokens.

Strategic Options

Preliminary Recommendation

Institutional creditors must move to a Verification-First Protocol. The 3AC collapse proves that reputation is a lagging indicator of solvency. Creditors should mandate a tri-party custody arrangement where the lender has real-time visibility into collateral health and a legal right to immediate liquidation upon breach of margin levels. This shifts the relationship from trust-based to math-based.

Section 3: Implementation Roadmap

Critical Path

Phase 1: Legal and Custodial Audit (Days 1-30): Establish direct links with third-party custodians. Terminate all lending agreements where assets are held in private founder-controlled wallets.
Phase 2: Risk Perimeter Definition (Days 31-60): Implement automated margin call triggers based on real-time price feeds. Establish a maximum concentration limit of 10 percent for any single digital asset across the entire loan book.
Phase 3: Governance Overhaul (Days 61-90): Require borrowers to appoint at least one independent board director and provide quarterly audited financials from a recognized firm.

Key Constraints

Jurisdictional Complexity: 3AC moved to the BVI to take advantage of lighter oversight. Recovery of assets across multiple offshore jurisdictions is slow and costly.
Market Volatility: In the crypto sector, asset prices can drop 50 percent in hours, making traditional daily margin calls insufficient.

Risk-Adjusted Implementation Strategy

To mitigate execution friction, lenders should implement a dynamic haircut model. Instead of static collateral requirements, the haircut should automatically increase as the volatility of the underlying asset rises or as the borrower concentration in that asset grows. This creates a self-correcting mechanism that forces deleveraging before a total collapse occurs.

Section 4: Executive Review and BLUF

BLUF

Three Arrows Capital was not a victim of market volatility but a casualty of structural arrogance and institutional due diligence failure. The fund operated as a carry trade that treated borrowed capital as equity while ignoring the basic requirement of asset-liability matching. For institutional lenders, the 3AC collapse is a definitive signal that the era of reputation-based lending in digital assets is over. Future survival depends on replacing trust with real-time, on-chain verification and mandatory third-party custody. Success requires a binary shift: if the collateral cannot be verified independently and liquidated instantly, the credit should not exist.

Dangerous Assumption

The single most consequential premise was that crypto-market liquidity would remain deep enough to exit multi-billion dollar positions during a tail-risk event. Both 3AC and its lenders assumed that the exit door would remain the same size regardless of the number of people trying to run through it at once.

Unaddressed Risks

Contagion Correlation (High Probability/High Consequence): The analysis does not fully account for the fact that in a crisis, all crypto assets move toward a correlation of 1.0, rendering traditional diversification strategies ineffective.
Legal Enforceability (Medium Probability/High Consequence): The move to BVI created a legal moat that prevents timely asset seizure, a risk that most creditors failed to price into their interest rates.

Unconsidered Alternative

The team failed to consider a Full Regulatory Integration path. Rather than just improving internal due diligence, institutional lenders could have lobbied for a regulated prime brokerage model in the crypto space, similar to traditional finance, which would have legally mandated the transparency that 3AC successfully avoided.

Verdict

APPROVED FOR LEADERSHIP REVIEW

Navigating the Financial Markets in India: Selling Aparajitha custom case study solution

Canada Soccer: Leveling the Paying Field custom case study solution

Dell Med: Transforming Care Delivery & Payment custom case study solution

Go Pure: Transitioning from a Regional to National Brand custom case study solution

DJI: How to Design an Innovation Ecosystem custom case study solution

Nashton Partners II custom case study solution

Vertical Farms custom case study solution

Rappi: the Latin American Super App? custom case study solution

JPMorgan Chase & Co.: Open Banking custom case study solution

CIIE: Seeding a Cleantech Entrepreneurship Ecosystem custom case study solution

Campusutra: A Fusion of Opportunities for Growth custom case study solution

Huaxi Hospital: Digital Transformation of Healthcare custom case study solution

Columbia's Final Mission (Abridged) (A) custom case study solution

Coach Clark (A): It's Not About Winning. It's About Getting Better custom case study solution

Write

Option	Rationale	Trade-offs
Tiered Transparency Model	Mandate real-time, on-chain verification of assets for all crypto-native borrowers.	Higher operational cost; potential loss of competitive secrecy for the fund.
Collateral Centralization	Require all borrowing to be facilitated through a central clearinghouse or tri-party agent.	Reduces counterparty risk but introduces a single point of failure and higher fees.
Strict Asset-Liability Matching	Limit borrowing to durations that match the liquidity profile of the underlying investment.	Reduces potential returns during bull markets; prevents death spirals during crashes.