We consider continuous-time mean-field stochastic games with strategic complementarities. The interaction between the representative productive firm and the population of rivals comes through the price at which the produced good is sold. Existence of minimal and maximal equilibria is shown via lattice-theoretical arguments, and sufficient conditions for deriving comparative statics of the equilibria are presented. A detailed numerical study, based on iterative schemes converging to the maximal and minimal equilibria, allows us to analyze in relevant financial examples of how the emergence of multiple equilibria is related to the intensity of strategic interactions.
Dianetti, J., Federico, S., Ferrari, G., Floccari, G. (2025). Multiple equilibria in mean-field game models of firm competition with strategic complementarities. QUANTITATIVE FINANCE, 25(3), 343-357 [10.1080/14697688.2024.2438217].
Multiple equilibria in mean-field game models of firm competition with strategic complementarities
Federico, Salvatore
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2025
Abstract
We consider continuous-time mean-field stochastic games with strategic complementarities. The interaction between the representative productive firm and the population of rivals comes through the price at which the produced good is sold. Existence of minimal and maximal equilibria is shown via lattice-theoretical arguments, and sufficient conditions for deriving comparative statics of the equilibria are presented. A detailed numerical study, based on iterative schemes converging to the maximal and minimal equilibria, allows us to analyze in relevant financial examples of how the emergence of multiple equilibria is related to the intensity of strategic interactions.| File | Dimensione | Formato | |
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Multiple_equilibria_in_mean_field_game_models_of_firm_competition_with_strategic_complementarities__QF_VERSION_.pdf
embargo fino al 09/07/2026
Tipo:
Postprint / Author's Accepted Manuscript (AAM) - versione accettata per la pubblicazione dopo la peer-review
Licenza:
Licenza per Accesso Aperto. Creative Commons Attribuzione - Non commerciale (CCBYNC)
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1.15 MB
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Adobe PDF
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