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Record W4321634215 · doi:10.33086/bfj.v7i2.2827

Analysis the Effect of Financial Statement Publication on the Stock Performance of PT Bank Syariah Indonesia Tbk. One Year after the Merger

2022· article· en· W4321634215 on OpenAlexaboutno aff
Wulansari Wulansari, Diaz Perdana

Bibliographic record

VenueBusiness and Finance Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsAnnual reportBusinessStock (firearms)AccountingFinancial statementPopulationQuarter (Canadian coin)Financial ratioFinancial systemEconomicsGeography

Abstract

fetched live from OpenAlex

As the country with the world’s largest Muslim population, Indonesia has the potential to lead the Islamic finance industry. Increased public awareness of halal issues, as well as strong stakeholder support, are critical factors in the growth of Indonesia’s halal industry ecosystem. Islamic banks are included. BUMN Banks’ Sharia Banks, namely Bank Syariah Mandiri, BNI Syariah, and BRI Syariah, are no exception, having merged on February 1, 2021. The goal of this study was to see what effect the publication of quarterly financial statements had on the performance of PT Bank Syariah Indonesia’s stock price up to a year after the merger. This study employs secondary data and documentation techniques, with the analysis time period being each quarter in the annual period of 10 days after reporting financial publication reports and 10 days before reporting financial publication reports. Stock prices from that time period, as well as several financial ratios from publicly available financial reports, were used as variables. To test the hypothesis itself, use a ratio scale and the comparative hypothesis method of two paired sample t-tests, as well as the Ryan-Joiner method to test for normality. If the significance value is 0.05 or greater, the data is said to be normally distributed. According to the results of the tests, there were significant differences in BRIS stock prices 10 days before and 10 days after the financial statements were published.

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 score0.385
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.241
Teacher spread0.230 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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