Financing policies via stochastic control: a dynamic programming approach

Roy Cerqueti

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

This is a post-peer-review, pre-copyedit version of an article published in the Journal of Global Optimization. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10898-011-9725-y This paper deals with a theoretical stochastic dynamic optimization model for the external financing of firms. We aim at searching for the best intensity of payment that a financier has to apply to a company in order to have a loan repaid. The techniques involved are related to the optimal control theory with exit time. We follow a dynamic programming approach. Our model also presents a distinction between the legal and the illegal financier, and a theoretical comparison analysis of the results is presented. Some numerical examples provide further validation of the theoretical results.
Original languageEnglish
Pages (from-to)539-561
JournalJournal of Global Optimization
DOIs
Publication statusPublished - Jul 2012
Externally publishedYes

Keywords

  • Hamilton Jacobi Bellman equation
  • Stochastic optimal control
  • viscosity solutions
  • company financing model
  • dynamic programming

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