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Record W4382808579 · doi:10.1504/ijmfa.2023.131763

Impacts of profitability and growth on stock returns of the listed manufacturing companies at Dhaka stock exchange in Bangladesh

2023· article· en· W4382808579 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Managerial and Financial Accounting · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWorking Capital and Financial Performance
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsProfitability indexStock exchangeBusinessStock (firearms)Growth stockFinancial systemMonetary economicsFinanceEconomicsMarket makerStock marketGeography

Abstract

fetched live from OpenAlex

The study aimed to examine the impact of profitability and growth on the adjusted stock return of the listed manufacturing companies at the Dhaka stock exchange, Bangladesh. The study included 198 manufacturing companies operating in 14 sectors. The combination of cross-sectional and time-series data has constituted panel data. We hypothesise the positive and significant relationship between profitability and growth, and stock returns, pooled OLS multiple regression model, fixed effect regression model, and random effect regression model has been developed. The findings showed that all the independent variables except for the operating profit margin (OPM) positively impact the stock return. The variables did not influence the investor's stock investment decision, except for the net profit growth (NPG) measure. The positive connection between other profitability ratios and the stock return has not turned out to be robust and significant mainly because of the speculative and non-analytical investment decision-making by individual-level investors.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.443

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 communication0.0000.001
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 head0.015
GPT teacher head0.223
Teacher spread0.208 · 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