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Record W2028905875 · doi:10.2469/faj.v66.n5.6

The Risk of Tranches Created from Mortgages

2010· article· en· W2028905875 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFinancial Analysts Journal · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCredit Risk and Financial Regulations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCollateralized debt obligationCopula (linguistics)DefaultActuarial scienceBondEconometricsProbability of defaultAsset (computer security)PortfolioBusinessEconomicsCredit riskFinancial economicsComputer scienceCollateralFinanceComputer security

Abstract

fetched live from OpenAlex

Using the criteria of the rating agencies, the authors tested how wide the AAA tranches created from residential mortgages can be. They found that the AAA ratings assigned to ABSs were not totally unreasonable but that the AAA ratings assigned to tranches of Mezz ABS CDOs cannot be justified.We examined the AAA ratings that were assigned to the structured products created from residential mortgages between 2000 and 2007. We considered both asset-backed securities (ABSs), which are created from a pool of mortgages, and ABS collateralized debt obligations (ABS CDOs), which are created from a portfolio of BBB rated ABS tranches. Standard & Poor’s and Fitch Ratings used probability of loss as the basis for rating tranches; Moody’s Investors Service used expected loss. We considered both criteria and tested how wide they allowed AAA tranches to be in different circumstances. In addition to the widely used Gaussian copula constant recovery rate model, we considered models whose recovery rate decreases as the default rate increases and models whose defaults are driven by a non-Gaussian copula model that increases the probability of extreme outcomes. When considering ABS CDOs, we used a two-factor model that distinguishes between within-pool default correlation and between-pool default correlation.We found that the AAA ratings assigned to senior ABS tranches were not totally unreasonable. For many of the assumptions that rating agencies might reasonably have made, expected loss and probability of loss were not markedly different from those of AAA rated bonds whose lives equaled the expected lives of the tranches. But the AAA ratings assigned to tranches of ABS CDOs cannot be justified. The risk of an ABS CDO tranche depends critically on the correlation between mortgage pools and the correlation model. A key point is that BBB tranches of ABSs cannot be considered equivalent to BBB bonds for purposes of subsequent securitizations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.200
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it