Is Palladium a safe haven asset?
Bibliographic record
Abstract
This dissertation investigates the role of Palladium in the global financial system as a safe haven asset against stocks of major emerging and developed countries. Since the beginning of the 21st century, the price of Palladium has increased steadily and dramatically. Using a daily, weekly and monthly data covering the period of 1978 to 2019, this dissertation finds evidence that Palladium is neither a hedge nor a safe haven asset for major European stock markets, BRIC countries, Australia, Canada and Japan. Nevertheless, we find that Palladium is a safe haven asset in the case of adverse market stocks for US stock market using monthly data. Moreover, we look at particular crisis periods and we notice that Palladium is a safe haven asset for Brazil and US stocks during the Asian crisis in 1997, but in the most recent crisis, it shows a positive co-movement with stocks providing a weak safe haven asset during these periods
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".