In this manuscript we consider a class of optimal control problems of stochastic differential delay equations. First, we rewrite the problem in a suitable infinite-dimensional Hilbert space. Then, using the dynamic programming approach, we characterize the value function of the problem as the unique viscosity solution of the associated infinite-dimensional Hamilton-Jacobi-Bellman equation. Finally, we prove a C 1 Alpha partial regularity of the value function. We apply these results to path dependent financial and economic problems (Merton-like portfolio problem and optimal advertising).

Optimal Control of Stochastic Delay Differential Equations and Applications to Path-Dependent Financial and Economic Models

De Feo, Filippo;
2024-01-01

Abstract

In this manuscript we consider a class of optimal control problems of stochastic differential delay equations. First, we rewrite the problem in a suitable infinite-dimensional Hilbert space. Then, using the dynamic programming approach, we characterize the value function of the problem as the unique viscosity solution of the associated infinite-dimensional Hamilton-Jacobi-Bellman equation. Finally, we prove a C 1 Alpha partial regularity of the value function. We apply these results to path dependent financial and economic problems (Merton-like portfolio problem and optimal advertising).
2024
stochastic optimal control
viscosity solutions in Hilbert spaces
partial regularity
stochastic delay equations
path-dependent equations
Merton problem
File in questo prodotto:
File Dimensione Formato  
Optimal Control of Stochastic Delay Differential Equations and Applications to Path-Dependent Financial and Economic Models.pdf

accesso aperto

Descrizione: ArXiv
: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 438.84 kB
Formato Adobe PDF
438.84 kB Adobe PDF Visualizza/Apri
DFS SICON 2024.pdf

Accesso riservato

Descrizione: SIAM Journal on Control and Optimization, V. 62, 3 (2024)
: Publisher’s version
Dimensione 546.95 kB
Formato Adobe PDF
546.95 kB Adobe PDF   Visualizza/Apri

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/11311/1266123
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 6
social impact