Common Mutual Fund Ownership and Systemic Risk*
Bibliographic record
Abstract
ABSTRACT We examine whether bank connections via common mutual fund ownership serve as a contagion channel affecting the systemic risk of the banking system. Examining this relation is important because common mutual fund ownership has increased dramatically over the past 20 years, and a buildup of systemic risk was at the heart of the 2008–2009 financial crisis. We predict and document that the extent of a bank's connection with other banks via common ownership increases its contribution to systemic risk. We further predict and find that this association is primarily driven by passive mutual funds. We provide evidence that common passive ownership results in higher systemic risk through two mechanisms: nondiscretionary sell‐offs of bank stocks and a common pattern of voting. Our results are also robust to two alternate instrumental variable analyses. This study contributes to the literature by documenting an unintended, macro‐level consequence of common mutual fund ownership. Our findings broaden the understanding of common ownership as one mechanism through which systemic risk materializes and should be particularly relevant for regulators who seek to prevent future systemic failures.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".