Risk & Finance2023

USDC De-Peg Arbitrage

This Ospina case study documents how Carlos Rico-Ospina approached a specific risk, infrastructure, revenue, or research problem and what was built to address it.

Turned a banking crisis into a calculated trade by reading balance sheets while others panicked.

Risk AnalysisStablecoinsCrisis ResponseBalance Sheet Modeling
USDC De-Peg Arbitrage

The Problem

March 2023: Silicon Valley Bank collapsed. Circle disclosed $3.3B of USDC reserves trapped at SVB. Panic swept the market—USDC lost its peg and crashed to $0.78 as traders feared a total collapse reminiscent of Terra/Luna.

The Insight

While the market priced in catastrophe, I ran a worst-case stress test on Circle's balance sheet. Even assuming 100% loss on the $3.3B at SVB, the remaining ~$37B in healthy reserves (Treasuries/Cash) meant the coin was mathematically backed by roughly $0.92. The market was trading dollars for 78 cents.

What I Built

  • Conducted rapid fundamental analysis during a banking blackout weekend
  • Calculated the theoretical 'hard floor' based on disclosed reserve composition
  • Deployed capital at the deepest point of the de-peg
  • Managed position sizing based on computed risk parameters, not speculation

Outcomes

  • Identified 14-cent discount to intrinsic value floor
  • Executed within 12-hour analysis-to-deployment window
  • Position recovered fully when USDC re-pegged Monday morning
  • US government announced depositor backstop, validating thesis

Why It Matters

Most crypto traders use technical analysis. This required fundamental risk modeling—reading a balance sheet during a crisis.

Demonstrates conviction when math contradicts market sentiment.

Client details anonymized. The March 2023 USDC de-peg is a matter of public record.

Have a Similar Challenge?

Let's discuss how I can help you achieve similar results.

Start a Conversation