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Record W217722763

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

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

Bibliographic record

VenueInternational Journal of Business · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsStock (firearms)Oil priceEmerging marketsEquity (law)Monetary economicsFinancial economicsStock marketEconometricsMacroeconomics
DOInot available

Abstract

fetched live from 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. …

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.273
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations18
Published2011
Admission routes1
Has abstractyes

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