Muddling up the Market: New Exempt- Market Regulations may do more Harm than Good to the Integrity of Markets
Bibliographic record
Abstract
From private debt and equity markets to crowd funding, exempt markets have been used to raise more money for Canadian enterprises in recent years than all public offerings put together. Vastly more: Between 2010 and 2012, exempt-market offerings raised four times as much capital as the initial and secondary public offerings during the same period. The precise reasons behind the immense popularity of exempt markets can only be guessed at; it may well be due to the desire, by both issuers and by investors, to avoid the regulatory costs associated with raising capital in public markets. We are left to speculate, however, because the Canadian exempt market remains relatively unstudied, despite its enormous role in funding capital investments in Canada. The lack of information about exempt markets, however, is not stopping provincial regulators in Canada’s largest markets from charging ahead with new proposals for rules that would govern exempt markets. Unfortunately, with so little information available about these markets, whatever the aim of the reforms in pursuing the goals of effective market regulation, they may end up being more harmful than helpful. Ontario is proposing to broaden the category of investors eligible to participate in these markets under a new exemption. But the category will remain stricter than in many other markets and Ontario proposes to also put very low limits on how much each investor is allowed to put at risk. Quebec, Alberta and Saskatchewan are also proposing the same $30,000 limit for any given 12-month period. And Ontario will prohibit the sale of exemptmarket securities by agents that are related to, or affiliated with, the registrant, even if measures are employed that have previously been accepted in managing and mitigating conflicts of interest. This will have a direct and damaging impact on exempt-market dealers, who are only allowed to sell exempt-market securities. All of these proposals are intended to protect investors from the higher risks that are presumed of exempt markets. However, there is no evidence — given the paucity of information about them — that exempt markets necessarily pose a greater risk of fraud or poorer returns and losses than do heavily regulated public markets. And if risk is indeed higher in the exempt markets, one would expect these proposed regulations to assist highquality firms from distinguishing themselves in the exempt market from low-quality firms. However, these regulations may actually have the opposite effect, making it harder for better-quality firms to signal their worthiness to investors. Canadian productivity — which continues to lag relative to other developed economies — relies heavily on businesses being able to acquire capital for investing in new technologies. Canadian companies and investors appear to be voting with their feet for exempt markets in raising that capital, possibly discouraged from public markets by regulatory costs and inefficiencies. For policy-makers to layer additional regulation on top of exempt markets without fully understanding the impact that it will have, could well result in making Canadian markets, and Canada’s economy, weaker, rather than stronger.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".