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Record W7094201534

Defaults & Returns on High Yield Bonds: Analysis Through September 30, 2002

2002· report· en· W7094201534 on OpenAlexaboutno aff

Bibliographic record

VenueThe Faculty Digital Archive (New York University) · 2002
Typereport
Languageen
FieldArts and Humanities
TopicPaleopathology and ancient diseases
Canadian institutionsnot available
Fundersnot available
KeywordsDefaultQuarter (Canadian coin)Yield (engineering)Liberian dollarInterest rateBond
DOInot available

Abstract

fetched live from OpenAlex

The third-quarter 2002 default rate for high yield bonds was 4.95%, based on $37.48 billion of defaults. The quarterly default rate is the highest in history, surpassing the first quarter of 1991 rate of 4.80%. One massive default, WorldCom, accounted for $28.30 billion of defaults (76%). Without WorldCom, the third quarter default rate would have only been 1.2%. The dollar weighted default rate for the first three quarters has already broken the record for a single calendar year reaching 10.98%. And, the latest four-quarters’ default rate of 15.01% has also set a record. Again, WorldCom’s huge default contributed about 4% of this record total. The persistently high default rate through the third quarter has resulted in a near record yield spread of 10.10% -- second only to 1990’s 10.50%. The current yield spread is more than 5% above the historical average. We believe the default rate has peaked in Q3-2002 and depending on the size of the decline, we believe the huge yield spread could reflect an over-sold market. Counting WorldCom ($46.0 billion in liabilities), there were more than $197 billion in liabilities of firms which filed for Chapter 11 protection through the third quarter and 26 firms had liabilities greater than $1 billion. The count was 22 firms through the first-half of the year, so the third-quarter number was "only" four, including WorldCom. There were 39 of such firms in 2001 -- a record year.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.192
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.099
GPT teacher head0.244
Teacher spread0.146 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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