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Record W7097972302

Researcher in Banking and Finance

2016· article· en· W7097972302 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic, financial, and policy analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationStock exchangeFinancial globalizationStock marketLatin AmericansFinancial integrationStock (firearms)Order (exchange)
DOInot available

Abstract

fetched live from OpenAlex

Globalization, as the process of integration of national economies into the international economy through trade, foreign direct investment, capital flows, migration and the spread of technology, has been analyzed by academic literature in different manners. Anyway a comprehensive analysis in a worldwide perspective that compares all the main stock markets ' performances in a long term period misses. In this paper, the authors try to fill this gap by a correlation analysis applied to stock exchange market indexes. This methodology is implemented in order to highlight the dynamic trend of financial market globalization. The paper investigates the degree of association of weekly returns for 53 international stock exchanges from 1995 to 2010 in a year-by-year approach, trying to evaluate how the average correlation through national stock indexes changed by the time. Moreover, an analysis of single geographical areas (North America and Canada, Latin America, Asia and Oceania, Northern Europe, Eastern Europe and Western Europe) has been done in order to test the hypothesis that globalization follows a homogenous (or heterogeneous) path. Results suggest an upward globalization trend that is developing at an increasing growth rate. Furthermore, an analysis of single geographical areas supports the hypothesis that globalization is a heterogeneous phenomena where different cluster of countries are engaged in different manners.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.055
GPT teacher head0.254
Teacher spread0.199 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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