• Media type: E-Book
  • Title: Estimating Optimal Decision Rules in the Presence of Model Parameter Uncertainty
  • Contributor: Bennett, Christopher Joseph [Author]
  • imprint: [S.l.]: SSRN, [2012]
  • Extent: 1 Online-Ressource (23 p)
  • Language: English
  • DOI: 10.2139/ssrn.2094501
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 6, 2012 erstellt
  • Description: This paper proposes a bootstrap procedure for estimating the risk minimizing decision rule from within a parameterized family of rules. The procedure is conceptually simple and applicable to a broad class of decision problems involving parameter uncertainty. Moreover, when applied to Markowitz's (1952) model of portfolio selection — a leading example in which parameter uncertainty arises — it is shown to be capable of generating decision rules with lower risk than estimators derived from conventional methods. Theoretical results establishing the asymptotic optimality of the procedure are also presented
  • Access State: Open Access