Shareholder Value Creation: An Empirical Analysis of Indian Banking Sector
Bibliographic record
Abstract
This study investigates the importance of economic value added for the shareholders’ value maximization. Economic value added (EVA) is a value based performance measurement tool that helps to settle down the management decision regarding creation of shareholders value. Very few literatures are found regarding creation of shareholder values in banks. Sample of 40 Indian commercial listed Banks and panel data are used for the period of 2001 to 2015, the empirical findings for Public limited banks and overall Indian banks revealed that there is a positive and significant relationship between shareholder’s value maximization and EVA but in case of Private limited banks, DPS was found to have significant relationship with shareholder value. The Higher the value of EVA, higher shareholders value .The finding shows significant support for EVA and DPS, but it was found that EVA is not efficiently used for Analysis and decision making regarding creation of value. Thus it is suggested to focus on criteria of EVA for analyzing shareholder’s value of banks.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".