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文章基本信息

  • 标题:Investment Timing under Incomplete Information
  • 本地全文:下载
  • 作者:Jean-Paul Decamps ; Thomas Mariotti ; Stephane Villeneuve
  • 期刊名称:Distributional Analysis Publications
  • 印刷版ISSN:1352-2469
  • 出版年度:2003
  • 卷号:2003
  • 出版社:Suntory Toyota International Centres for Economics and Related Disciplines
  • 摘要:We study the decision of when to invest in an indivisible project whose value is perfectly observable but driven by a parameter that is unknown to the decision maker ex ante. This problem is equivalent to an optimal stopping problem for a bivariate Markov process. Using filtering and martingale techniques, we show that the optimal investment region is characterised by a continuous and non-decreasing boundary in the value/belief state space. This generates path-dependency in the optimal investment strategy. We further show that the decision maker always benefits from an uncertain drift relative to an 'average' drift situation. However, a local study of the investment boundary reveals that the value of the option to invest is not globally increasing with respect to the volatility of the value process.
  • 关键词:Real options, incomplete information, optimal stopping
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