Germany: IKB Deutsche Industriebank Capital Injection, 2008
Bibliographic record
Abstract
In July 2007, investors rapidly pulled their funding from asset-backed commercial paper (ABCP) programs that held US subprime mortgage-linked securities. According to the Financial Crisis Inquiry Commission (FCIC), German bank IKB Deutsche Industriebank AG (IKB) was the "first big casualty" of that run on ABCP. It had directly and indirectly guaranteed to provide EUR 9.3 billion in liquidity to its off-balance-sheet vehicle, Rhineland Funding Capital Corporation. German authorities and the Kreditanstalt für Wiederaufbau (KfW), a state-owned German development bank, quickly took over those obligations on July 30 to keep IKB solvent and prevent it from closing. KfW also agreed to cover up to EUR 1 billion of IKB's potential losses on on-balance-sheet subprime mortgage assets. But IKB remained undercapitalized as losses increased on its on-balance-sheet exposures in 2008. KfW, with government backing, increased IKB's capital by EUR 2.3 billion over the course of 2008, raising its ownership in IKB from a pre-Global Financial Crisis stake of 37.8% to a peak of 90.8%. The capital injection measures included the conversion of a EUR 54 million bond into equity in February 2008; a EUR 1 billion loan in February 2008, for which KfW immediately waived IKB's obligation to repay unless IKB's finances improved; and the injection of EUR 1.3 billion in common stock in August 2008. In October 2008, Lone Star, a US private equity firm, acquired KfW's 90.8 % stake in IKB for EUR 137 million. The different measures German authorities took to support IKB cost the German taxpayers EUR 9.6 billion in total.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.111 | 0.062 |
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".