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Record W2975511509 · doi:10.6000/1929-7092.2019.08.61

The Short and Long-Run Performance of Sharia-Compliant Initial Public Offerings (IPOs) in the Emerging Market: Evidence from the Saudi Arabia Share Market

2019· article· en· W2975511509 on OpenAlexvenueno aff
Kamilah Kamaludin, Nadisah Zakaria

Bibliographic record

VenueJournal of Reviews on Global Economics · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
FundersPrince Sultan University
KeywordsInitial public offeringBusinessShariaShort runMarket shareMonetary economicsAccountingFinanceEconomicsIslam

Abstract

fetched live from OpenAlex

This study examines the short-and long-run share performance of 40 Sharia-compliant IPO companies listed on the Saudi Arabia Stock Exchange (Tadawul) from 1 st January 2000 to 31 st August 2017.This study employs both market-adjusted initial returns and buy-and-hold abnormal return to measure the share performance of IPOs.First, the analysis shows that Sharia-compliant IPOs are underpricing with abnormal initial returns of 79.23%.Second, the results suggest that investors could earn positive and significant market-adjusted BHAR of 14.67% if they held IPO shares over the eighteen-month period following the listing date when EWI is used as a market benchmark.This study also finds that IPO companies outperformed the VWI although the results are insignificant.The findings on the long-run overperformance contribute to the IPO literature on long-run performance of Sharia-compliant IPOs.The present study would benefit foreign investors and market regulators who are trying to understand the market behaviour in an emerging market.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.257
Teacher spread0.221 · 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 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

Citations7
Published2019
Admission routes1
Has abstractyes

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