A Geologic-Actuarial Approach for Insuring the Extraction Tasks of Non-Renewable Resources by One and Two Agents

This work uses classic stochastic dynamic programming techniques to determine the equivalence premium that each of two extraction agents of a non-renewable natural resource must pay to an insurer to cover the risk that the extraction pore explodes. We use statistical and geological methods to calibr...

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Bibliographic Details
Main Authors: López-Barrientos, J.D (Author), Real-Miranda, R. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher
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020 |a 22277390 (ISSN) 
245 1 0 |a A Geologic-Actuarial Approach for Insuring the Extraction Tasks of Non-Renewable Resources by One and Two Agents 
260 0 |b MDPI  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/math10132242 
520 3 |a This work uses classic stochastic dynamic programming techniques to determine the equivalence premium that each of two extraction agents of a non-renewable natural resource must pay to an insurer to cover the risk that the extraction pore explodes. We use statistical and geological methods to calibrate the time-until-failure distribution of extraction status for each agent and couple a simple approximation scheme with the actuarial standard of Bühlmann’s recommendations to charge the extracting agents a variance premium, while the insurer earns a return on its investment at risk. We test our analytical results through Monte Carlo simulations to verify that the probability of ruin does not exceed a certain predetermined level. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. 
650 0 4 |a Bühlmann recommendations for premium calculation 
650 0 4 |a extraction game for two agents 
650 0 4 |a hazard rates 
650 0 4 |a time-until-failure 
650 0 4 |a vertical pressure gradient 
700 1 |a López-Barrientos, J.D.  |e author 
700 1 |a Real-Miranda, R.  |e author 
773 |t Mathematics