Analyzing mineral exploration efficiency: too little for too much?? Evidence from project valuations and implied discovery probabilities.
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| Title: | Analyzing mineral exploration efficiency: too little for too much?? Evidence from project valuations and implied discovery probabilities. |
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| Authors: | Diaz, Sebastian1 (AUTHOR), Castillo, Emilio1,2 (AUTHOR) ecastillo@uchile.cl, Mery, Nadia1,3 (AUTHOR), Munizaga-Rosas, Charango1,4 (AUTHOR) |
| Source: | Mineral Economics: Raw Materials Report. Jun2026, Vol. 39 Issue 2, p525-537. 13p. |
| Subject Terms: | *Valuation, *Copper mining, *Probability theory, *Prospecting, *Mines & mineral resources, *Gold industry, *Econometric models |
| Abstract: | This paper analyzes the drivers of early-stage mineral project valuations and explores the broader efficiency of exploration investment in the copper and gold sectors. Building on a simplified decision-theoretic framework, we develop an econometric model using a curated dataset of exploration-stage transactions. For copper, results show that the in situ value is positively associated with geological information (measured by drilling meters) and national copper production. At the same time, resource size and institutional quality (proxied by the Rule of Law Index) have a negative effect. These findings suggest that project-level certainty and host country mining infrastructure enhance valuations, whereas large deposits and more mature jurisdictions may be discounted. For gold, results are less conclusive due to a smaller sample, although national reserves and production appear to influence valuations. At a global scale, we estimate the implied probability of discovery by relating total exploration expenditures to the market value of discoveries over time. Results indicate a significant deterioration in exploration efficiency: for copper, the implied probability rose from 23% in 2004–2009 to 631% in 2020–2024; for gold, it escalated from 879% to 1,522% across the most recent periods. These findings highlight growing misalignments between exploration investment and discovery value, raising concerns about the sustainability of exploration financing models under current geological and market conditions. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194611655 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analyzing mineral exploration efficiency: too little for too much?? Evidence from project valuations and implied discovery probabilities. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Diaz%2C+Sebastian%22">Diaz, Sebastian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Castillo%2C+Emilio%22">Castillo, Emilio</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ecastillo@uchile.cl</i><br /><searchLink fieldCode="AR" term="%22Mery%2C+Nadia%22">Mery, Nadia</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Munizaga-Rosas%2C+Charango%22">Munizaga-Rosas, Charango</searchLink><relatesTo>1,4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Mineral+Economics%3A+Raw+Materials+Report%22">Mineral Economics: Raw Materials Report</searchLink>. Jun2026, Vol. 39 Issue 2, p525-537. 13p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Valuation%22">Valuation</searchLink><br />*<searchLink fieldCode="DE" term="%22Copper+mining%22">Copper mining</searchLink><br />*<searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br />*<searchLink fieldCode="DE" term="%22Prospecting%22">Prospecting</searchLink><br />*<searchLink fieldCode="DE" term="%22Mines+%26+mineral+resources%22">Mines & mineral resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Gold+industry%22">Gold industry</searchLink><br />*<searchLink fieldCode="DE" term="%22Econometric+models%22">Econometric models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper analyzes the drivers of early-stage mineral project valuations and explores the broader efficiency of exploration investment in the copper and gold sectors. Building on a simplified decision-theoretic framework, we develop an econometric model using a curated dataset of exploration-stage transactions. For copper, results show that the in situ value is positively associated with geological information (measured by drilling meters) and national copper production. At the same time, resource size and institutional quality (proxied by the Rule of Law Index) have a negative effect. These findings suggest that project-level certainty and host country mining infrastructure enhance valuations, whereas large deposits and more mature jurisdictions may be discounted. For gold, results are less conclusive due to a smaller sample, although national reserves and production appear to influence valuations. At a global scale, we estimate the implied probability of discovery by relating total exploration expenditures to the market value of discoveries over time. Results indicate a significant deterioration in exploration efficiency: for copper, the implied probability rose from 23% in 2004–2009 to 631% in 2020–2024; for gold, it escalated from 879% to 1,522% across the most recent periods. These findings highlight growing misalignments between exploration investment and discovery value, raising concerns about the sustainability of exploration financing models under current geological and market conditions. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13563-025-00539-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 525 Subjects: – SubjectFull: Valuation Type: general – SubjectFull: Copper mining Type: general – SubjectFull: Probability theory Type: general – SubjectFull: Prospecting Type: general – SubjectFull: Mines & mineral resources Type: general – SubjectFull: Gold industry Type: general – SubjectFull: Econometric models Type: general Titles: – TitleFull: Analyzing mineral exploration efficiency: too little for too much?? Evidence from project valuations and implied discovery probabilities. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Diaz, Sebastian – PersonEntity: Name: NameFull: Castillo, Emilio – PersonEntity: Name: NameFull: Mery, Nadia – PersonEntity: Name: NameFull: Munizaga-Rosas, Charango IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 21912203 Numbering: – Type: volume Value: 39 – Type: issue Value: 2 Titles: – TitleFull: Mineral Economics: Raw Materials Report Type: main |
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