The MF Global Bankruptcy, Missing Customer Funds, and Proposals for Reform
Bibliographic record
Abstract
On October 31, 2011, MF Global, a large brokerage firm registered with the Securities and Exchange Commission (SEC) as a broker-dealer and with the Commodity Futures Trading Commission (CFTC) as a futures commission merchant (FCM), filed for bankruptcy, marking the eighth-largest bankruptcy in U.S. history.Based on the subsequent investigation by the bankruptcy trustee, it appears that the firm failed as a result of a "run on the bank" by customers seeking withdrawals, combined with increased margin calls on the firm's proprietary trading positions related to distressed European debt, which the firm could not meet.Normally, brokerage customers are protected from brokerage failure.On the securities side, investors may receive up to $500,000 from the Securities Investor Protection Corporation (SIPC) if the failed brokerage's assets are insufficient to meet customer claims.In futures markets, there is no insurance scheme comparable to SIPC, but customers are
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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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.025 | 0.009 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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.
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".