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Record W2341501914

DEVELOPED STOCK MARKETS PERFORMANCE DURING THE GREEK CRISIS, DESEMPENO DE LOS MERCADOS ACCIONARIOS DESARROLLADOS DURANTE LA CRISIS GRIEGA

2013· article· es· W2341501914 on OpenAlexaboutno aff
Eduardo Sandoval

Bibliographic record

VenueRevista Internacional Administracion & Finanzas · 2013
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsPortfolioFinancial crisisStock (firearms)Stock market indexEconomicsDebt crisisIncentiveEuropean debt crisisMonetary economicsStock marketEconomyFinancial economicsDebtFinancial systemBusinessInternational economicsGeographyEuropean unionMarket economyFinanceMacroeconomicsEuropean integration
DOInot available

Abstract

fetched live from OpenAlex

This paper investigates empirically the performance of developed stock markets (according to the classification of MSCI) during the recent crisis in Greece, which started in early October 2009. Performance is measured by Jensen's alpha. An international version of the CAPM is used as the equilibrium model, while the World Index is used as the benchmark portfolio for investors. The results show that stock markets in Italy, Spain and Greece were the most exposed to value destruction during the crisis period. By contrast, the U.S. stock market had superior performance while the markets of Canada, the Pacific area and Israel do not present a risk-adjusted performance statistically different from that shown by the World Index. We conclude that eurozone countries with excessive public debt to GDP should be able to create the spaces for a greater fiscal discipline and provide incentives to private sector with the objective to generate greater economic productivity to overcome this kind of crisis which negatively have affected to other European stock markets regardless of their size.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.005

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 head0.036
GPT teacher head0.258
Teacher spread0.222 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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