Market effects of SEC regulation of short-term borrowing disclosure
Notice bibliographique
Résumé
Purpose The purpose of this paper is to offer an alternative approach to measure the cost-benefit tradeoff, by analyzing stockholders’ reactions to the announcement and vote on the proposed rule. More specifically, the authors use event study methodology to investigate the stock price reaction on two key dates; that is, the announcement date and the voting date of the proposed short-term borrowing disclosure regulation, and argue that positive abnormal stock returns indicate that the expected benefits of the regulation outweigh the compliance costs. A negative reaction would indicate that, in the eyes of investors, the costs of compliance exceed the expected benefits. Design/methodology/approach The authors use event study analysis and apply the market model to equal-weighted portfolios of 2,450 financial and 3,985 non-financial US firms to calculate mean cumulative abnormal stock returns (MCARs, hereafter) on the announcement and voting dates. Then, the authors conduct mean difference tests on firm-level MCARs across three event windows, that is, (−30,−1), (0,+1) and (+2,+30), to confirm if the MCARs of financial firms are different from those of non-financial firms on both the announcement and the voting dates. Finally, robustness tests are performed with alternate benchmark, using value-weighted portfolios, for the market. Findings The authors find that the market reaction is positive and significant at the announcement date and negative and significant at the voting date of the proposed regulation of short-term borrowing disclosure regulation. Overall, the paper documents a positive market reaction, indicating the usefulness of the disclosure from the vantage point of users. Examining and comparing the results for various subsets, including commercial banks and saving institutions, bank holding companies, size quartiles, and exchange listed and OTC registrants, the authors find that a “one-size-fits-all” approach to regulation is undesirable. Originality/value This is first empirical study, to best of the authors’ knowledge, to explore stockholder reaction to a proposed, rather than an enforced, Securities and Exchange Commission (SEC) regulation and may contribute to the SEC’s final decision on the rule. Second, given a dissimilar reaction from investors of different firms, the results suggest that the SEC needs to reconsider its one-size-fit-all approach for the proposed rule. Finally, because the proposed disclosure would affect all SEC registrants, the economic implications of the findings are important not only for stockholders, but also for regulators, as they attempt to manage systematic risk and optimize the level of market intervention.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».