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The Anatomy of a Financial Crisis: The Evolution of Runs in the Asset-Backed Commercial Paper Market. Daniel Covitz, Nellie Liang, and Gustavo Suarez* Federal Reserve Board San Francisco, January 2, 2009
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The Anatomy of a Financial Crisis:The Evolution of Runs in the Asset-Backed Commercial Paper Market Daniel Covitz, Nellie Liang, and Gustavo Suarez* Federal Reserve Board San Francisco, January 2, 2009 * The views expressed here do not reflect those of the Federal Reserve System or its Board of Governors.
Overview • Asset-Backed Commercial Paper (ABCP) in 2007 • Why ABCP programs may be subject to “runs” • Differences across ABCP programs • Measuring runs • Explaining runs • Conclusions
Why ABCP programs may be subject to runs • Run-like episodes in the unsecured commercial paper market: Penn Central in 1970 (Calomiris, 1995) • Most ABCP programs share bank-like features: • Assets are opaque • Liabilities are shorter-term and more liquid than assets • Explicit mechanisms to mitigate maturity/liquidity mismatch
Sponsors in the ABCP market Sponsors typically provide liquidity and/or credit support Sponsor type provides information about credit and liquidity risks Types of sponsors: • Large US banks • Small US banks • Non-US banks • Nonbanking institutions
Measuring runs: Methodology • Use transaction-level data from DTCC for all programs in the US market. Weekly, Jan-Dec, 2007 • Define a run on an ABCP program as occurring if a program is unable to issue new paper to fund maturing obligations
Measuring Runs: Results Runs appear to have occurred in the ABCP roughly starting in Aug 2007:
Measuring Runs: Results ABCP runs were absorbing states starting Aug 2007:
Explaining runs: Methodology Similar to literature on traditional bank runs: • Gorton (1988), National Banking Era crises • Calomiris and Mason (2003), 1930s failures Primary hypotheses: H1: Runs are related to program fundamentals H2: Runs are triggered by panic
Explaining runs: Methodology Fundamentals: Program-level variables • Program type: proxy for mortgage exposure in assets • Sponsor type: proxy for support strength • Contractual features and ratings “Panic”: Time dummies (common to all programs) Starting in Aug 2007, run one regression per month with weekly observations:
Additional regression results • Results are similar when augmenting regressions to include interactions of program-type dummies with returns on the ABX index • Spread regressions: • Program types and sponsor types more subject to runs tended to pay higher spreads • Suggests that the runs we measure reflect difficulties in issuing rather than less willingness to issue
Conclusions • Some evidence that ABCP programs were subject to runs in Aug-Sept 2007 • Runs during financial turmoil were related to fundamentals, but runs in initial weeks were also driven partly by panic • More nuanced view of crisis compared to the evidence from banking crisis (e.g., Gorton, 1988; Calomiris and Mason, 2003)
The ABCP market Stylized transaction: