• Medientyp: E-Book
  • Titel: Optimal Liquidation with Signals : the General Propagator Case
  • Beteiligte: Abi Jaber, Eduardo [VerfasserIn]; Neuman, Eyal [VerfasserIn]
  • Erschienen: [S.l.]: SSRN, 2022
  • Umfang: 1 Online-Ressource (48 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.4264823
  • Identifikator:
  • Schlagwörter: optimal portfolio liquidation ; price impact ; propagator models ; predictive signals ; Volterra stochastic control
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 1, 2022 erstellt
  • Beschreibung: We consider a class of optimal liquidation problems where the agent's transactions create transient price impact driven by a Volterra-type propagator along with temporary price impact. We formulate these problems as minimization of a revenue-risk functionals, where the agent also exploits available information on a progressively measurable price predicting signal. By using an infinite dimensional stochastic control approach, we characterize the value function in terms of a solution to a free-boundary L2-valued backward stochastic differential equation and an operator-valued Riccati equation. We then derive analytic solutions to these equations which yields an explicit expression for the optimal trading strategy.We show that our formulas can be implemented in a straightforward and efficient way for a large class of price impact kernels with possible singularities such as the power-law kernel
  • Zugangsstatus: Freier Zugang