The Role of Stock Market Development in Influencing the Firms Performance: A Study Based on Pakistan Stock Market
Bibliographic record
Abstract
The study aims to examine the role of stock market development in influencing the performance of non financial firms listed on Pakistan Stock Exchange from 2001 to 2017. Stock market development is a foremost issue of debate nowadays in emerging and developing economies. The theories and empirical studies strongly refer that stock market development is a tool to mobilize the savings and investment to promote the industrialization and firms performance. This study is an effort to establish the empirical relationship between stock market development and firm’s performance. Three indicators of stock market development like stock market volatility,stock market liquidity and stock market liquidity are used for assessing the book and market performance of firms. For this purpose two-step system Generalized Method of Moments (GMM) estimator was employed in a dynamic panel model for empirical testing of hypothesis. The findings indicates that stock market volatility is a significant factor which which attempts to decrease the firm performance. On the other hand, stock market capitalization and stock market liquidity significantly causes the increase in firm firm performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".