Order protection, commonality, and herding behaviour in equity markets
Notice bibliographique
Résumé
This dissertation consists of three research papers on financial system efficiency and stability. The findings of the thesis expand our understanding of equity market liquidity, efficiency, herding behaviour and potential systemic risks. The results also have significant implications for policy makers and various market participants, in particular those concerned with the impact of changes to trading rules on equity markets . Paper 1 examines the impact of the Order Protection Rule (OPR) on market liquidity and price discovery in North America. The OPR is one of the most influential policies that guarantees that trades are executed at the best available price and provides fair protection for investors. Using the difference - in - differences (DiD) and two - stage least squares (2SLS) methodologies, we find that market liquidity increases and transaction cost decreases. We evaluate two possible channels, market fragmentation and active returns, and find that only the former explains the result. Furthermore, we find a more efficient price discovery process, while the in creased liquidity mainly happens to U.S. lit markets where orders are displayed on order book transparently. We also find a significant improvement in national quoted prices and depth in small trading venues in Canada. Paper 2 examines the impact of the U. S. Securities and Exchange Commission Tick Size Pilot on commonality in liquidity, i.e. the level of co - movement between a security's liquidity and that of the corresponding Tick Size Pilot group. The Tick Size Pilot increases the tick size from 1 cent to 5 cents for a chosen list of small capitalisation stocks. Using a DiD methodology, we find an increase in liquidity commonality due to the higher analyst c overage and institutional ownership across treatment stocks in the pilot period. We further investigate the reactions from stocks not included in the pilot period and find that the tick unconstrained stocks attracted more analysts' attention and institutional investors, resulting in a higher commonality in liquidity. Paper 3 examines herding behaviour among investors in the renewable energy sector in the U.S. Over the last decade, the renewable energy sector demonstrated significant growth in the global economy. However, the sector also has variations in performance, with periods of relatively high active returns and others with substantial underperformance. We examine the relationship between the level of equity return dispersion - measured by the cross - sectional absolute deviation (CSAD) of returns - and the overall market return in the renewable sector. Using data from January 2000 to December 2015, we find significant evidence of excess return dispersion, or dispersion in the renewable energy sector for several sub - periods. We also find evidence of asymmetric return dispersion, indicating a different imp act of positive or negative market returns on return dispersion. These results also hold when considering risk - adjusted returns for the renewable sector based on a CAPM or multifactor model. In addition, we find some evidence of investor herding during periods of low market liquidity. Our results indicate a unique behaviour of returns in the renewable energy sector compared to other equity markets. Overall, investors in renewable energy stocks seem to disagree on their interpretation of large market movements, leading to an even higher return dispersion than predicted by standard asset pricing models.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».