Corporate Financing in India: Some Stylized Facts of an Emerging Economy
Bibliographic record
Abstract
This paper investigates the corporate financing trends in an emerging economy; India. The study reveals some stylized facts prevalent in the Indian financial markets and how Indian firms are accessing their capital requirements. In-depth analysis has been performed on the balance sheet data of Indian nonfinancial firms during time period 1992-2012. Study focused on the capital financing received as debt, equity and related forms. Trends showed that debt ratios in India remain low and falling over years, while equity ratios remain rising. As a share of total debt, bank financing rose during this period; while non-bank debt declined, which suggests the underdeveloped Indian corporate debt market. At the same time equity market infrastructure has enabled many firms to look for high equity finance; study shows the increased use of internal financing for most of the firms’ asset creation. Overall, the paper suggests that, firms in India seems to be deprived of the availability of credit through poor debt market infrastructure and highlights the contemporary corporate financing issues.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".