Optimal Investment in Research and Development Under Uncertainty

Roy Cerqueti

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

This paper explores the optimal expenditure rate that a firm should employ to develop a new technology and pursue the registration of the related patent. Our model takes into account an economic environment with indus-trial competition among firms operating in the same sector and in presence of uncertainty in knowledge accumulation. We develop a stochastic optimal control problem with random horizon, and solve it theoretically by adopting a dynamic programming approach. An extensive numerical analysis suggests that the optimal expenditure rate is a decreasing function in time and its sen-sitivity to uncertainty depends on the stage of the race. The odds for the firm to preempt the rivals non-linearly depend on the degree of competition in the market.
Original languageEnglish
Pages (from-to)296-309
JournalJournal of Optimization Theory and Applications
DOIs
Publication statusPublished - Jan 2016
Externally publishedYes

Keywords

  • Expenditure rate
  • Hamilton-Jacobi-Bellman equation
  • Patent race
  • R & D
  • Stochastic control problem

Fingerprint

Dive into the research topics of 'Optimal Investment in Research and Development Under Uncertainty'. Together they form a unique fingerprint.

Cite this