A Study on Cointegration and Causality Relationship of Indian Stock Market with Select World Markets
Bibliographic record
Abstract
This study explores the cointegration and causality relationships of the Indian stock market with selected major markets of the world such as the market of USA, Japan, Germany, UK, France, Canada, Italy, Australia, South Korea and Spain. Applying the Johansen cointegration test and Granger causality analysis, the study find that significant long-run equilibrium relationships and short-run influences exist between these several variables. Findings show that the BSE Sensex is more integrated globally than the NSE Nifty 50, suggesting India’s increasing prominence in international financial market. The findings offer essential insights to investors pursuing portfolio diversification, policymakers working to improve financial stability, and firms devising global investment strategies. The findings also underscore the influence of economic events and global market interdependencies, which necessitate adaptive and responsive policies in a rapidly changing global financial environment.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".