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Record W2098598435 · doi:10.1002/fut.21595

The Linkage Between the Options and Credit Default Swap Markets During the Subprime Mortgage Crisis

2013· article· en· W2098598435 on OpenAlexaff
Tong Suk Kim, Yuen Jung Park, Jaesun Noh

Bibliographic record

VenueJournal of Futures Markets · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCredit Risk and Financial Regulations
Canadian institutionsCanadian Imperial Bank of Commerce (Canada)
Fundersnot available
KeywordsCredit default swapSubprime mortgage crisisLinkage (software)Synthetic CDOFinancial crisisCredit default swap indexiTraxxEconomicsSubprime crisisMonetary economicsDefaultPredictive powerFinancial economicsFinancial systemBusinessCredit riskFinanceCredit valuation adjustmentMacroeconomics

Abstract

fetched live from OpenAlex

Abstract This study investigates the linkage between the options and credit default swap (CDS) markets around the subprime mortgage crisis period, using the unit recovery claim (URC). Through estimation of a well‐hedging strike price within a firm‐specific and time‐varying default corridor and consideration of the CDS term structure and firm‐specific recovery rate, modified URCs from the two markets are demonstrated to have a tighter linkage. The adjusted URCs show that, after the crisis, the effect of macroeconomic variable on deviations between the two markets increased and the options market's predictive power for the future movement of the CDS market was amplified. © 2013 Wiley Periodicals, Inc. Jrl Fut Mark

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.211
Teacher spread0.200 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations14
Published2013
Admission routes1
Has abstractyes

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