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Record W2071053046 · doi:10.5539/ijef.v7n2p203

Liquidity Commonality in an Emerging Market: Evidence from the Amman Stock Exchange

2015· article· en· W2071053046 on OpenAlexvenueno aff
Mohammad Tayeh, Adel Bino, Diana Abu Ghunmi, Ghada Tayem

Bibliographic record

VenueInternational Journal of Economics and Finance · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Markets and Investment Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsMarket liquidityFunding liquidityLiquidity crisisStock exchangeMarket impactLiquidity riskStock market crashBusinessMarket microstructureMarket makerMonetary economicsEmerging marketsFinancial crisisCapital marketEconomicsStock marketOrder (exchange)Financial economicsFinanceGeographyMacroeconomics

Abstract

fetched live from OpenAlex

The financial crises, such as the market crash of October 1987, the 1997 East Asian financial crisis and the 1998 long-term capital management (LTCM) crisis, have all shed fresh light on the importance of systematic liquidity (i.e., market-wide liquidity factor). Following the new trend in market microstructure research, this study examines the commonality in liquidity for the Amman Stock Exchange (ASE), one of the emerging markets in the MENA region. Based on data for 247 firms from March 26, 2000 to December 31, 2011, and applying the market model of Chordia et al. (2000), the results provide strong evidence of the presence of market-wide commonality in liquidity. The cross-sectional mean of the estimated coefficient of concurrent market liquidity is statistically significant for all liquidity measures, apart from the price impact measure. Price impact aside, the results show that commonality is pervasive across all size-based portfolios. The results also show an insignificant industry component in individual stocks’ liquidity.

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 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)0.002
metaresearch head score (Gemma)0.007
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.132
GPT teacher head0.287
Teacher spread0.156 · 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".

Quick stats

Citations8
Published2015
Admission routes1
Has abstractyes

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