Arbeitspapier
Optimal Portfolio Allocation under a Probabilistic Risk Constraint and the Incentives for Financial Innovation
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: Tinbergen Institute Discussion Paper ; No. 01-069/2
- Klassifikation
-
Wirtschaft
Portfolio Choice; Investment Decisions
- Thema
-
Portfolio Optimization
Value-at-Risk
NP-hard
Portfolio-Management
Finanzprodukt
Theorie
Risikomaß
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Daníelsson, Jón
Jorgensen, Bjørn N.
de Vries, Casper G.
Yang, Xiaogang
- Ereignis
-
Veröffentlichung
- (wer)
-
Tinbergen Institute
- (wo)
-
Amsterdam and Rotterdam
- (wann)
-
2001
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Daníelsson, Jón
- Jorgensen, Bjørn N.
- de Vries, Casper G.
- Yang, Xiaogang
- Tinbergen Institute
Entstanden
- 2001