Does Gold Act as an Instrument to hedge Against Inflation Between the Years of 1980-2010 in Six Developed Countries?
Bibliographic record
Abstract
The aim of this research is to examine the role of gold as an instrument to hedge against inflation between 1980-2010 of four time frames, which are monthly, quarterly, semi-annually, and annually in six developed countries, which are Canada, Germany, Japan, Switzerland, UK, and US. This research replicates prior research done by Chua and Woodward (1982). The author uses multiple regression one tailed t-test with 95 percent confidence level where gold return act as dependent variable and both expected and unexpected inflation rate act as independent variable. Gold would be able as hedging property if it is uncorrelated or positively correlated with inflation rate which would be reflected by the slope coefficient. The result of this research shows that gold is hedge against unexpected inflation in four time frames of six developed countries since the slope coefficient of those time frames are uncorrelated with gold return. On the other hand, gold fails in playing its role as hedge against expected inflation in monthly data of US
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".