Optimal Portfolio Allocation under the Probabilistic VaR Constraint and Incentives for Financial Innovation

Jón Daníelsson, Bjørn N. Jørgensen, Casper G. de Vries, Xiaoguang Yang

Research output: Contribution to journalJournal articleResearchpeer-review


We characterize the investor’s optimal portfolio allocation subject to a budget constraint and a probabilistic VaR constraint in complete markets environments with a finite number of states. The set of feasible portfolios might no longer be connected or convex, while the number of local optima increases exponentially with the number of states, implying computational complexity. The optimal constrained portfolio allocation may therefore not be monotonic in the state–price density. We propose a type of financial innovation, which splits states of nature, that is shown to weakly enhance welfare, restore monotonicity of the optimal portfolio allocation in the state-price density, and reduce computational complexity.
Original languageEnglish
JournalAnnals of Finance
Pages (from-to)345-367
Number of pages23
Publication statusPublished - 2008
Externally publishedYes


  • Portfolio optimization
  • Value-at-risk
  • Computational complexity
  • State-price density

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