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Record W2294789080

A Comparative Study of Gold Price Movements in Indian and Global Markets

2010· article· en· W2294789080 on OpenAlexaboutno aff
Arti Gaur, Monica Bansal

Bibliographic record

VenueIndian Journal of Finance · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
Fundersnot available
KeywordsStore of valueGold as an investmentCurrencyPrecious metalCommodityValue (mathematics)EconomicsGold standard (test)Monetary systemCommerceInternational economicsMonetary economicsEconomyMarket economyMonetary policyMetal
DOInot available

Abstract

fetched live from OpenAlex

Since the earliest times, gold has been important for mankind. The basic reason for this being its unique physical properties. Gold as a commodity, as a currency, continues to play its ancient role as the only true standard of value in times of war or crisis. History tells us that only gold retains its value during war; change of empires and govt. and at the time of crisis. Although now officially, gold held to be of only industrial value, gold is the oldest and most respected currency in the world and only one respected currency in the world when national paper money lose value. That is why every central bank of any significance buys and holds goods in reserve in a world of almost universal paper money. The monetary use of gold, along with silver has been very wide spread since ancient times. Gold and silver coins have been most readily acceptable medium of exchange due to intrinsic values of the two metals. The major problem in this use of gold as a coinage metal is its short supply. It is produced only by a few countries mainly South Africa (producing 3/4th of the total world production) Soviet Union, Canada, USA, Ghana, Philippines and Australia. In India gold has maintained an important presence since very early times.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.250
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations33
Published2010
Admission routes1
Has abstractyes

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