Retail Investors and Gold Buying Behaviour – A Perpetual Study of Indian Retail Investors
Bibliographic record
Abstract
Gold is one of the oldest precious metals known to man and for years it has been valued as a global currency, an investment, a commodity and an object of beauty and India is not an exception to this. India’s love affair with gold is timeless spanning over centuries and millennia. With globalisation various investment avenues were made available to investors. However there is difference in the perceptions of the investors. So this paper makes an attempt to understand the factors that influence the buying behavior of Indian retail investors with respect to gold buying. The objectives of the paper are to identify the favorable and unfavorable perception of the consumers towards their belief in Gold buying behavior, towards their Motives behind the Physical gold buying behavior, towards the Risk behind gold buying (both physical gold as well as Paper form -Mutual fund / ETF) behavior and towards gold buying behavior due to various attributes of gold. The results of the study indicate that the ease at the time of purchase and high liquidity has resulted into Gold being highly preferred Investment Avenue as against the others.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".