MétaCan
Menu
Retour à la cohorte
Enregistrement W1505197174

The Long-Run Operating Performance of Canadian Convertible Debt Issuers: Trends and Explanatory Factors

2012· article· en· W1505197174 sur OpenAlexaboutno aff
Khalid El Badraoui, Jean-Jacques Lilti

Notice bibliographique

RevueInternational Journal of Business · 2012
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueCorporate Finance and Governance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésConvertible bondIssuerInitial public offeringConvertible arbitrageBusinessBondEconomicsDebtContext (archaeology)Event studyCapital structureBond credit ratingMonetary economicsFinancial economicsAccountingActuarial scienceFinanceCredit risk
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACTSimilar to previously documented evidence for offerings, this paper shows, using accounting-based performance measures, that Canadian firms exhibit a poor operating performance following convertible bond offers. These results confirm those obtained in the US context and contribute to explain the puzzling post-issue stock price underperformance of convertible bond issuers. Our findings also illustrate that the decline in operating performance experienced by the issuing firms seems to be partly due to industry specific factors. In addition, using PLS regressions, we find that some issuer and issue features have a significant impact on the issuers' performance. Nevertheless, the signs of the regression coefficients are not always congruent with those predicted by convertible bond financing theories. Lastly, our empirical findings support the capital rationing hypothesis of Lewis et al. (2001) according to which firms rely on convertible bonds because they are rationed out of the market due to adverse selection and agency costs considerations.JEL Classifications: G14, G32Keywords: convertible bonds offering; long-run operating performance; PLS regressionsI. INTRODUCTIONConvertible bonds (hereafter referred to as CBs) have been used extensively by corporations to raise funds in the bond market through either public or private offerings. According to the agency and signalling theories, in an imperfect market CB financing is not without incidence on the value of the issuing firm. This report confirms the results of previous empirical studies carried out over various periods and in several countries.1 Indeed, the main conclusion of these formally termed event studies, is that the announcement of CB offering is associated with a negative signal, but with it, the impact is less pronounced than with the announcement of issuance. Given that straight bond offerings do not involve on average any statistically significant reaction, this result seems coherent with both the pecking order theory of Myers and Majluf (1984) and the backdoor equity model of Stein (1992).2These studies have investigated stock market reaction to the CB issuance during short-term announcement period assuming that markets are efficient at least under the semi-strong form. However, more recent literature on the long-term behavior of firms' stock price subsequent to Initial Public Offerings (IPOs) and Seasoned Equity Offerings (SEOs) challenged this assumption. It argued instead that the return decrease taking place at the time of the issue announcement was not proportional to the actual informational content of the news at that moment. Indeed, stock issuers' returns continue to decline during several months after the offering. In other words, investors would interpret in an erroneous way the signal conveyed by the issuing firm at the offering announcement period, with the result being that they would take a long time to appraise its real effects on the value of the firm. This underreaction calls into question the principle of informational efficiency.In light of these studies and since CBs are hybrid instruments with characteristics of both debt and equity, many authors turned towards long-term event studies in order to examine CB issuers' post-offering returns over long horizons to get a full view of their stock price performance. Lee and Loughran (1998) and Spiess and Affleck-Graves (1999), amongst other authors, find that American firms issuing CBs significantly underperform their matched counterparts up to five years after the offering. Similar underperformance was found on both the Japanese (Kang et al., 1999) and the British markets (Abhyankar and Ho, 2006). One key element of these studies is that the long-term driftin stock returns is in the same direction as the initial reaction of the stock price at the time of the announcement. This suggests that, as with offerings, investors tend to underreact to the information contained in the announcement, so that the full impact of the CB issue is only recognized over a longer time horizonBecause the primary role of accounting information, more precisely accounting earnings, is to provide useful input to analysts and investors in financial markets, some authors have examined to which extent the decline of firms' long-term stock price profitability subsequent to CB offerings is driven by the fall of their operating performance. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,156
Score d'incertitude au seuil0,314

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,004
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,021
Tête enseignante GPT0,221
Écart entre enseignants0,201 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2012
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueInternational Journal of BusinessMême sujetCorporate Finance and GovernanceTravaux en français237 207