Why opacity is just not good enough: the effectiveness and accountability of Canada's Office of the Superintendent of Financial Institutions
Bibliographic record
Abstract
This chapter considers the effectiveness and the accountability of financial services sector regulators by focusing on the Office of the Superintendent of Financial Institutions (OSFI), Canada's prudential regulator. We identify three broad measures of effectiveness – the overall regulatory framework, outcome, and adaptability – and, three measures of accountability – vertical accountability, the co-production of accountability, and the culture and value placed on being accountable. In the aftermath of the 2007–2008 global financial crisis, OSFI has been hailed as a very effective regulator. We argue, however, that OSFI's performance should be more critically assessed; there is a need, in particular, for greater transparency. This chapter pays particular attention to the difficult balancing act between opacity and transparency in financial services sector regulation. The 2007–2008 global financial crisis highlighted anew the importance of a properly functioning financial system for the economy, and of good, effective and accountable supervision and regulation. The crisis was the result of both market failures, and political, legislative and regulatory failures. This chapter is specifically interested in the effectiveness and accountability of financial services sector regulators, and how to assess performance. As part of this discussion, we are particularly attentive to the relationship, and difficult balancing act, between opacity and transparency. Effectiveness is, in a way, closely associated with opacity; regulators can be more flexible in an opaque environment, at the same time, opacity makes it difficult to assess performance. Transparency, on the other hand, can impede effectiveness, though it also likely increases accountability. In this chapter, we consider the effectiveness and accountability of financial services sector regulators by studying the Office of the Superintendent of Financial Institutions (OSFI), Canada's prudential regulator. How effective and accountable is OSFI? How does OSFI fulfill its mandate and stated objectives? How does it operate in practice? What are its accountability mechanisms? Following the 2007–2008 global financial crisis, OSFI has been frequently commended for its role in helping the country navigate through the crisis. The IMF has been positive about Canadian supervision and regulation of financial markets. Anand and Green suggest that OSFI has shown itself to be a very effective regulator.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.021 | 0.027 |
| Scholarly communication | 0.020 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| 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".