Cause Determination of the Adjustable-Rate Mortgage Market Collapse During the Financial Crisis
Bibliographic record
Abstract
This paper provides insight into what caused the decline of the adjustable-rate mortgage (ARM) market during the 2007–2009 financial crisis. Contrary to common perception, the failure of the ARM market cannot be primarily attributed to predatory lending targeting subprime borrowers from low-credit households. This popular narrative is incomplete and disregards some important factors. I present three key factors that challenge the narrative and point to previously undiscussed sources that may have contributed to the ARM market collapse. First, the accusation of predatory lending does not account for other possible causes of mass ARM defaults. Second, the sole focus on the market’s subprime segment disregards the impact of prime ARMs on the market. Third, the narrative’s citation of subprime ARMs having greater delinquency rates and foreclosure numbers fails to recognize the significant percentage increase in prime ARM failures in the years leading up to the crisis, as well the disparity in typical outstanding balances between subprime and prime ARMs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".