• Media type: E-Book
  • Title: Linear-quadratic-singular stochastic differential games and applications
  • Contributor: Dianetti, Jodi [VerfasserIn]
  • imprint: Bielefeld, Germany: Center for Mathematical Economics (IMW), Bielefeld University, [2023]
  • Published in: Universität Bielefeld: Working papers ; 678
  • Extent: 1 Online-Ressource (circa 22 Seiten)
  • Language: English
  • Identifier:
  • Keywords: Singular stochastic control ; linear quadratic games ; stochastic maximum principle ; Nash equilibrium ; Graue Literatur
  • Origination:
  • Footnote:
  • Description: We consider a class of non-cooperative N-player non-zero-sum stochastic differential games with singular controls, in which each player can affect a linear stochastic differential equation in order to minimize a cost functional which is quadratic in the state and linear in the control. We call these games linear-quadratic-singular stochastic differential games. Under natural assumptions, we show the existence of open-loop Nash equilibria, which are characterized through a linear system of forward-backward stochastic differential equations. The proof is based on an approximation via a sequence of games in which players are restricted to play Lipschitz continuous strategies. We then discuss an application of these results to a model of capacity expansion in oligopoly markets.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)