Stock Markets and Major Sport Events: Evidence from Cricket World Cup 2019
Bibliographic record
Abstract
The effect of major sport events on stock markets has been studied by many researchers, most of them focused on soccer without considering if it’s the most popular sport in the countries under study and without considering if the matches are important or not. The enquiry that the researcher tried to answer in this study was whether the stock market is affected by the results of the major event of the sport that is the most popular in the country of that market. To answer this question, the researcher studied the effect of the world cup of cricket, the most popular sport in India, on the main Indian stock exchanges: Bombay stock exchange and national stock exchange. A quantitative approach was followed to conduct this study using data for the period from May 24,2018 to July 15, 2019. The collected data was analyzed using ordinary least squares method and one sample t-test. Study conclusions indicated that loss results in the world cup have a significant positive effect on the stock prices in the two stock exchanges while there was no significant effect for winning results.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".