In this paper, we study the interactions between a public body and several potential concession holders. We propose a dynamic stochastic optimization problem providing the optimal exercise price of the “expropriation” option, which safeguards the social interest from over-exploitation of the resource. Other crucial quantities are also determined, such as the optimal value of the option and the condition for mutual convenience to enter the deal. We apply the model to a Southern Italy oilfield finding that the deal was in the common interest and that the optimal expropriation value is quite high.

Who can benefit from multi-license oil concessionaires valuation? / Oliva, I.; Ventura, M.. - In: ENERGY ECONOMICS. - ISSN 0140-9883. - 135:2024(2024). [10.1016/j.eneco.2024.107640]

Who can benefit from multi-license oil concessionaires valuation?

I. Oliva
Membro del Collaboration Group
;
M. Ventura
Membro del Collaboration Group
2024

Abstract

In this paper, we study the interactions between a public body and several potential concession holders. We propose a dynamic stochastic optimization problem providing the optimal exercise price of the “expropriation” option, which safeguards the social interest from over-exploitation of the resource. Other crucial quantities are also determined, such as the optimal value of the option and the condition for mutual convenience to enter the deal. We apply the model to a Southern Italy oilfield finding that the deal was in the common interest and that the optimal expropriation value is quite high.
2024
oil; concession license; parameter estimation; volatility; optimal control
01 Pubblicazione su rivista::01a Articolo in rivista
Who can benefit from multi-license oil concessionaires valuation? / Oliva, I.; Ventura, M.. - In: ENERGY ECONOMICS. - ISSN 0140-9883. - 135:2024(2024). [10.1016/j.eneco.2024.107640]
File allegati a questo prodotto
File Dimensione Formato  
Oliva_Who_2024.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 1.21 MB
Formato Adobe PDF
1.21 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1713414
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact