MétaCan
Menu
Retour à la cohorte
Enregistrement W2100851829

Market response to bank loan announcements in a government-controlled banking system: evidence from China’s banks

2010· dissertation· en· W2100851829 sur OpenAlex
Yuan Zhang

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueLincoln University Research Archive (Lincoln University) · 2010
Typedissertation
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueBanking stability, regulation, efficiency
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBusinessChinaFinancial systemChinese financial systemLoanGovernment (linguistics)FinancePolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Under an enriched notion of “inside debt”, the unique benefits of bank financing from screening and monitoring processes have been well documented in a large number of studies investigating the information content of bank loan announcements. Thus, bank loan announcements convey positive signals to the market, and the market response should be positive. However, previous studies were conducted extensively in the non-government-controlled banking systems, such as the U.S., the U.K., Canada and Australia. It is unclear whether the traditional predictions on the functions of banks for non-government-controlled banking systems also hold for government-controlled banking systems. This study examines the market reaction to bank loan announcements in the Chinese financial market, where the banking system is highly controlled by the Chinese government. The study also investigates the possible characteristics of lending banks, borrowers and loans that may influence share price reaction to bank loan announcements in the Chinese financial market. Standard event study methodology is employed to test the share price returns of the borrowing firms in response to the bank loan announcements. The event window comprises of 21 trading days from the period beginning 10 days before the event date (day 0) and ending 10 days before the event date (day −10 to day 10). Data used in this study are collected from the China Stock Market and Accounting Research Database and China Financial Newspaper Database. This study samples all bank loan announcements from companies listed on the Shanghai Stock Exchange (SHSE) and the Shenzhen Stock Exchange (SZSE) between 1996 and 2009. The share-split reform started in 2005 which affected the stock price of listed Chinese companies considerably. In order to avoid the influence of the share-split reform, this study divides the sample period into two sub-samples, namely, 1996 to 2004 and 2005-2009. A total of 501 bank loan announcements are collected in the final sample for period 1996 to 2004 and 106 bank loan announcements for the period 2005 to 2009. Contrary to what previous studies have found for bank loan announcements in non-government-controlled banking systems, this study finds significant declines in stock values of Chinese borrowing firms during bank loan announcements for the sample period 1996 to 2004. The result implies that both positive and negative bank loan announcement effects are possible, depending on whether the banking system is run on purely commercial goals in non-government-controlled banking systems or is subject to political intervention in government-controlled banking systems. Banks controlled by the government may have to lend to bail out poorly performing firms for political reasons. If these weak borrowing firms are prevalent, the direction of the market response to bank loan announcement should be negative, and vice versa. The results show that the negative effect is particularly significant for loans from Big Four state banks, state owned or controlled banks, banks with lower ranking and banks in provinces with lower marketization in credit allocation. The negative effect is also particularly significant for problematic borrowing firms including firms that are opaque, have a higher possibility of expropriation or tunnelling, have ineffective expropriation-reduction mechanisms, and are controlled by the state. The results also show that the negative effect is particularly significant for loans with greater amount, shorter term, with covenants/collateral, and less syndication. There is a significant difference in the market response to bank loan announcements among different bank loan purposes and among different industries. This study finds no significant market response to bank loan announcements in the Chinese financial market for the sample period 2005 to 2009. However, the result shows that there is a significantly negative market response to bank loan announcements in the Chinese financial market for the sample period 1996 to 2004. This implies that the Chinese stock market does not view bank loan announcements unfavourably any longer after a series of reforms in the Chinese banking system.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,390
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0050,004
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0030,001
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,024
Tête enseignante GPT0,252
Écart entre enseignants0,228 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle