Open AccessDynamic project selection
Author(s) -
Nikandrova Arina,
Pancs Romans
Publication year - 2018
Publication title -
theoretical economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.404
H-Index - 32
eISSN - 1555-7561
pISSN - 1933-6837
DOI - 10.3982/te2379
Subject(s) - selection (genetic algorithm) , computer science , content (measure theory) , mathematical economics , dynamic web page , information retrieval , operations research , economics , world wide web , artificial intelligence , mathematics , web service , mathematical analysis
We study a normative model of an internal capital market, used by a company to choose between its two divisions’ pet projects. Each project’s value is initially unknown to all but can be dynamically learned by the corresponding division. Learning can be suspended or resumed at any time and is costly. We characterize an internal capital market that maximizes the company’s expected cash flow. This market has indicative bidding by the two divisions, followed by a spell of learning and then firm bidding, which occurs at an endogenous deadline or as soon as either division requests it.