International Capital Flows and Dynamic Changes in Pfizer Stock Prices: A Long-term Perspective
Bibliographic record
Abstract
The stock and exchange rate markets play central roles in domestic and international trade. Since volatility of either one of them can bring significant impact to any business. It is essential to find how changes in exchange rate influence the stock market so that policymakers can build appropriate regulations to boost the national stock market, and investors may invest by taking the minimum risk. This paper selects the stock of a well-known multinational firm, Pfizer, and the US dollar index from October 27, 2005, to September 5, 2019. It applies the ADF test to validate the stationarity of the sample data, the VAR model with IRF to investigate whether the increasing exchange rate brings a positive effect on Pfizer's stock return or not, and the ARMA-GARCHX model to study whether the volatility of exchange rate is significant to changes of Pfizer's stock return in the long run. The study's findings indicate that the exchange rate volatility does not have a long-term relationship with Pfizer's stock price.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".