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Case Study: LTCM Revisited, A Deep Risk Modeling Failure Analysis

Long-Term Capital Management did not fail for lack of mathematics. It failed because its risk models answered a narrower question than the one that mattered. This advanced case study puts LTCM's risk engine on trial. You rebuild a parametric VaR for a leveraged convergence book, measure the 1998 losses in sigmas against the model's own assumptions, watch the correlation matrix collapse towards one, and refit the tails with Student's t, extreme value theory and expected shortfall. Then you add what the model left out: liquidity-adjusted VaR, margin spirals, crowding and the arithmetic of leverage and ruin. You build the stress test and the reverse stress test LTCM should have run, study who should have overruled the model, and map every lesson to NSE Clearing's margin framework, India's own liquidity shocks and the risk stack a scaling systematic trader needs. Built for quant researcher aspirants, prop desk applicants and systematic traders growing their books. Educational content only, not investment advice.

LTCMValue at RiskExpected ShortfallFat TailsCorrelation BreakdownLiquidity RiskStress TestingModel RiskQuant Finance

MODULES

5

DURATION

~4 hrs

TRACK

Quantitative Finance

What You'll Master

Rebuild a parametric VaR for a leveraged convergence book and see exactly what its assumptions hide

Measure the 1998 losses in standard deviations and explain why a 'once in the universe' move happened in weeks

Model correlation breakdown, fat tails and expected shortfall, and compare them with the normal-distribution VaR

Add liquidity-adjusted VaR, margin spiral dynamics and crowding risk to a risk number

Design a stress test and a reverse stress test, and set up governance that can overrule a model

Apply the lessons to NSE Clearing's margin framework, Indian liquidity shocks and your own systematic book

Access Level

LEARNER

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Full Text Playbooks

Actionable Exercises

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Curriculum Breakdown

Chapter 1: The Brief: Putting LTCM's Risk Engine on Trial

4 Lessons

How to Use This Case Study: The Risk Model as the Defendant8 min read

LTCM in Ten Minutes: The Book, the Leverage and the Loss11 min read

What LTCM Promised Investors: The Volatility Target and the Implied VaR12 min read

The Calibration Problem: Building a Risk Model on 1994 to 1997 Data12 min read

Chapter 2: The Model Under the Microscope

4 Lessons

Reconstructing a Parametric VaR for a Convergence Book14 min read

Counting Sigmas: Measuring August and September 1998 Against the Model12 min read

Correlation in Calm and Crisis: Why the Diversification Disappeared13 min read

Fat Tails Done Properly: Student's t, Extreme Value Theory and Expected Shortfall14 min read

Chapter 3: The Risks the Model Could Not See

4 Lessons

Liquidity-Adjusted VaR: Pricing the Exit Into the Risk Number13 min read

Funding Liquidity and Margin Spirals: When Losses Raise Your Margin13 min read

Crowding and Endogenous Risk: When Copycat Positions Become the Risk Factor12 min read

Leverage, Horizon and Ruin: How a Positive Expected Value Still Went to Zero13 min read

Chapter 4: Stress Testing and Model Governance

4 Lessons

Rebuilding the Stress Test LTCM Should Have Run14 min read

Reverse Stress Testing: Finding the Scenario That Kills the Fund13 min read

Model Risk Governance: Who Should Have Overruled the Model11 min read

What Changed After 1998: Counterparty Limits, Industry Reports and the Road to Stressed VaR11 min read

Chapter 5: The Indian Mirror and Your Own Risk Stack

4 Lessons

NSE Clearing's Risk Engine: Initial Margin, Exposure Margin and Core SGF Stress Tests13 min read

Indian Liquidity Shocks Through the LTCM Lens: IL&FS, Franklin Templeton and March 202013 min read

Building a Risk Stack for a Scaling Systematic Book on NSE14 min read

Capstone: Writing the LTCM Risk Post-Mortem Memo14 min read