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Enregistrement W217722763

Further Evidence on the Responses of Stock Prices in GCC Countries to Oil Price Shocks

2011· article· en· W217722763 sur OpenAlexaboutno aff
Mohamed El, Hedi Arouri, Mondher Bellalah, Duc Khuong Nguyen

Notice bibliographique

RevueInternational Journal of Business · 2011
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueMarket Dynamics and Volatility
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEconomicsStock (firearms)Oil priceEmerging marketsEquity (law)Monetary economicsFinancial economicsStock marketEconometricsMacroeconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

I. INTRODUCTION There has been a large volume of studies on linkages between oil prices and macroeconomic variables. Most of these studies have established the significant effects of oil price changes on economic activity for several developed and emerging countries (see, e.g., Cunado and Perez de Garcia, 2005; Balaz and Londarev, 2006; Gronwald, 2008; Cologni and Manera, 2008; Kilian, 2008). Furthermore, some papers have shown that the link between oil and economic activity is not entirely linear and that negative oil price shocks (price increases) tend to have larger impacts on growth than do positive shocks (see, e.g., Hamilton, 2003; Zhang, 2008; Lardic and Mignon, 2008). In sharp contrast to a significant number of works investigating the link between oil price shocks and economic activity, there have been relatively few attempts to study the relationship between oil price variations and stock markets. Moreover most of these efforts have focused on industrial countries such as the United States, Canada, the European community, and Japan. In regards to emerging market economies, our survey of the literature generally indicates that very few studies have been carried out and that they mainly consider the short-term interactions between energy price shocks and equity prices. One rationale for using oil price fluctuations as a risk factor affecting stock prices is that in theory the fair value of a stock equals the sum of expected future cash-flows discounted at the investor's required rate of return. These cash flows are naturally affected by macroeconomic events that potentially depend on oil shocks. Therefore, oil price changes may influence stock prices. Most previous studies have investigated this relationship within the framework of a macroeconomic model employing data from net oil importing countries obtained at low frequencies (monthly or quarterly). Using weekly data and new asymmetric cointegration tests, this article attempts to investigate both the short- and long term relationships between oil price shocks and stock markets in the Gulf Cooperation Council (GCC) countries. A study of the possible links between oil prices and stock markets in the GCC countries is interesting for several reasons. First, since these countries are major suppliers of oil in today's world energy markets, their stock markets are more likely to be susceptible to changes in response to oil price fluctuations. Second, the specific characteristics shared by the GCC stock markets, as compared to those of markets in developed and other emerging countries, indicate a need for in-depth analysis of the oil-equity market relations. In effect, they are largely independent of the international markets and are overly sensitive to regional political events. Finally, GCC markets represent a very promising area for regional and international portfolio diversification. For this reason the empirical results of studies centered on the GCC countries are of great importance for investors seeking to make judicious investment decisions, and for policymakers attempting to regulate stock markets more effectively. In the related literature, Jones and Kaul (1996) perform pioneer work in testing the reaction of international stock markets (Canada, UK, Japan, and USA) to oil price shocks, based on the standard cash-flow dividend valuation model. They find that for the US and Canada this reaction can be entirely accounted for by the impact of the oil shocks on cash flows. The results for Japan and the UK were inconclusive. Using an unrestricted vector autoregressive (VAR) model, Huang et al. (1996) show a significant link between the stock returns of certain American oil companies and oil price changes. There is however no evidence of a relationship between oil prices and market indices such as the S&P 500. In contrast, Sadorsky (1999) applies an unrestricted VAR with GARCH effects to American monthly data and shows a significant relationship between oil price changes and aggregate stock returns in the US. …

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)0,000
score de la tête « metaresearch » (Gemma)0,003
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 enseignants0,040
Score d'incertitude au seuil0,079

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,003
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 savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

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 Opus0,080
Tête enseignante GPT0,273
Écart entre enseignants0,193 · 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

Citations18
Publié2011
Routes d'admission1
Résumé présentoui

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