Liquidity Crisis Analysis

Study the mechanics of liquidity crises through real cases. Analyze the Metallgesellschaft near-bankruptcy, the EUR/CHF flash crash, and stop-loss failure modes. Build frameworks for regime change detection and hedging under liquidity constraints.

2 Days Duration
Advanced Level
3 Cases Case Studies
4 Simulations Lab Exercises

Case Narratives

The Metallgesellschaft Crisis

December 1993

Metallgesellschaft AG was one of Germany's largest commodity trading companies. The firm had entered into long-term forward contracts to deliver oil at fixed prices, hedged with rolling short-term futures. The strategy was theoretically sound: the company was long oil through forwards and short through futures, creating a net-zero market exposure.

The flaw was liquidity. When oil prices fell sharply, the futures positions required immediate margin calls while the forward contracts generated no offsetting cash until delivery. The firm faced a liquidity crisis despite having a profitable long-term position. Within months, Metallgesellschaft was forced to unwind its positions at massive losses, nearly bankrupting the company.

This case demonstrates that hedging effectiveness cannot be evaluated solely on risk reduction. The cash flow timing of hedge instruments must match the cash flow profile of the underlying exposure, or the hedge itself becomes a source of risk.

$1.5B
Losses
160M bbl
Position Size
10 Years
Forward Duration

The EUR/CHF Flash Crash

January 15, 2015

On January 15, 2015, the Swiss National Bank abandoned its currency floor of 1.20 CHF per EUR. The exchange rate dropped from 1.20 to below 0.90 within seconds, then stabilized around 1.05. The move was unprecedented in modern currency markets for a major currency pair.

Many investors holding CHF-denominated loans had stop-loss orders in place to limit currency exposure. These orders were designed to trigger at specific price levels and close positions automatically. In the flash crash, the market gapped through stop-loss levels without ever trading at the trigger prices. Orders that should have executed at 1.18 instead executed at 1.00 or worse.

The alternative hedge was put options. The cost comparison reveals the hidden risk of stop-loss strategies: they are cheap in normal markets but fail catastrophically in regime changes. Put options cost more upfront but provide reliable protection regardless of market microstructure.

25%
Price Move
Seconds
Time to Low
33,778 EUR
Stop-Loss Worst Case
6,951 EUR
Put Option Cost

Learning Objectives

01
Liquidity Risk Identification
Distinguish between market risk and liquidity risk. Identify cash flow mismatches in hedging strategies. Map liquidity requirements across time horizons.
02
Analyze optimal hedge ratios incorporating liquidity constraints. Compute the tradeoff between hedge effectiveness and cash flow requirements. Apply to futures rolling strategies.
Constrained Hedging
03
Stop-Loss Failure Modes
Understand gap risk in stop-loss orders. Compare explicit option cost versus implicit stop-loss risk. Quantify tail risk in discontinuous markets.
04
Regime Change Detection
Build early warning indicators for market regime shifts. Incorporate central bank policy risk into hedging decisions. Design stress scenarios for crisis simulation.
05
Cost-Benefit Analysis
Compare hedging strategies across cost, effectiveness, and reliability dimensions. Build decision frameworks for hedge instrument selection.
06
Governance Implications
Translate technical liquidity risk into board-level reporting. Design risk limits that incorporate liquidity constraints. Build escalation protocols for crisis conditions.

Lab Simulations

Rolling Hedge Simulator

Model Metallgesellschaft-style hedge with cash flow tracking

  • Configurable spot and futures price paths
  • Margin call timing and magnitude tracking
  • Liquidity buffer optimization
  • Basis risk decomposition

Stop-Loss Gap Risk Model

Simulate order execution in discontinuous markets

  • Jump-diffusion price process
  • Order book depth simulation
  • Slippage distribution analysis
  • Put option comparison

Currency Crisis Scenario Engine

EUR/CHF-style regime change simulation

  • Central bank policy shock modeling
  • Portfolio stress testing
  • Cross-asset contagion paths
  • Hedge effectiveness under stress

Hedging Cost Optimizer

Compare hedge strategies across multiple dimensions

  • Explicit cost vs implicit risk tradeoff
  • Tail risk quantification
  • Multi-year horizon analysis
  • Optimal hedge selection framework

Tools and Platforms

Decision Lab
Simulation environment
Jupyter Notebooks
Interactive analysis
Bloomberg Terminal
Historical data
FX Data
Currency tick data

Who Should Attend

Risk Managers
Building liquidity risk frameworks. Designing stress tests that capture regime change. Setting risk limits that incorporate cash flow constraints.
Treasury Professionals
Managing corporate hedging programs. Evaluating hedge instrument selection. Understanding margin requirements and cash flow timing.
Portfolio Managers
Hedging currency exposure in international portfolios. Evaluating stop-loss strategies. Managing tail risk in volatile markets.
Quantitative Analysts
Building liquidity-aware models. Implementing jump-diffusion processes. Calibrating crisis scenarios for stress testing.

Register for This Workshop

Available as scheduled cohort or private delivery for institutional teams. Includes Decision Lab access for simulation exercises.