FRM Handbook Ch 23: Credit Derivatives and Structured Products (Structured Products and CDOs)
Book: Financial Risk Manager Handbook Plus Test Bank
Author: Philippe Jorion
ISBN: 978-0-470-90401-5
The second half of Chapter 23 is where credit derivatives stop looking like insurance contracts and start looking like factory assembly lines. Banks slice pools of bonds into tranches, sell the safe-looking pieces to pension funds, and park the toxic waste in the equity slice. Jorion walks through how these structures work, and more importantly, what cannot change when you repackage cash flows.
Structured products in plain terms
A structured product is just a payoff profile built from simpler parts. Retail investors want stock upside with principal protection? Combine a zero-coupon bond with a call option. Done.
Credit structured products exploded once CDS made it cheap to transfer default risk off balance sheet. Credit-linked notes (CLNs) are the bridge product. A bank with Mexico exposure issues a bond that pays a juicy coupon but embeds a short CDS on Mexico. If Mexico defaults, investors eat the loss.
The SPV version is cleaner for investors who cannot trade derivatives directly. Cash goes into a top-rated vehicle that earns LIBOR plus a spread. The SPV sells protection via CDS and passes the extra premium to investors. Higher yield, but you are on the hook if the reference entity defaults.
CDO mechanics
Collateralized debt obligations (CDOs) repackage a pool of bonds or loans into tranches with a waterfall payment priority. Think CMOs for corporate credit.
A typical deal: $1 billion of exposure spread across 100 names at $10 million each. The SPV issues senior, mezzanine, and equity tranches. Senior tranche A might be 80% of the structure, rated AAA, paying LIBOR + 45bp. Mezzanine tranches absorb losses between attachment and detachment points (say 3% to 10%). Equity sits at the bottom and takes the first dollar of loss.
The equity tranche is wild. Investors post $30 million notional, collect a fat running spread plus an upfront fee around 40% on investment-grade deals. If defaults stay low, returns look incredible. If defaults cluster, the tranche gets wiped out fast.
Here is the conservation law Jorion stresses: you cannot make risk disappear by slicing it. If senior tranches are safer, junior tranches must be riskier. Someone always holds the “toxic waste.” Sponsoring banks often keep the equity slice to signal confidence in the pool.
Correlation is the hidden bet
Rating agencies model senior tranche risk using portfolio credit models (default probabilities, LGD, correlations). The killer parameter is default correlation.
Low correlation means defaults are scattered. Junior tranches absorb isolated losses. Senior tranche looks bulletproof.
High correlation means simultaneous defaults. The loss distribution gets fat left tails. Senior tranches that models rated AAA can take real hits. That is exactly what happened to mortgage-backed CDO seniors in 2008.
Key concept from the book: a long position in a senior CDO tranche is effectively short average default correlation. You profit when defaults are uncorrelated. You get destroyed when they move together.
Correlation trading and post-crisis fallout
Jorion gives a correlation trading example: buy equity tranche protection, hedge with small CDS positions on every name. In benign scenarios you pocket the spread differential. In a three-default scenario you can still lose if CDS spreads tighten when you unwind hedges.
The chapter closes with regulatory pushback. Basel II treated senior tranches of AA-rated securitizations as low risk, which encouraged banks to hold them with thin capital. After the crisis, regulators forced higher charges and better disclosure. ISDA standardized CDS contracts and introduced portfolio compression to cut redundant notional.
What I took from this section
Structured credit is not magic. It is redistribution. The math works until correlations shift, liquidity dries up, and models assume independence while the real economy moves in sync.
If you trade or supervise these products, the question is never “what is the rating?” It is “who holds the first loss, and what happens if defaults bunch up?”
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