Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/90775 
Year of Publication: 
2013
Series/Report no.: 
Memorandum No. 21/2013
Publisher: 
University of Oslo, Department of Economics, Oslo
Abstract: 
While it is common knowledge that portfolio separation in a continuous-time lognormal market is due to the basic properties of the Gaussian distribution, the usual textbook exposition relies on dynamic programming and thus Itô stochastic calculus and the appropriate regularity conditions. This paper shows how Ross-type distributions-based separation properties in continuous-time and discrete-time models, are easily inherited from a single-period model, generalizing and simplifying an approach of Khanna and Kulldorff (Finance Stoch. 3 (1999), pp. 167-185) down to multivariate distributions theory, stochastic dominance and the definition of the Itô integral. In addition to (re-) covering the classical cases of elliptical distributions (with or without risk-free opportunity) and symmetric »-stables/substables, this paper also gives separation results for non-symmetric stable returns distributions under no shorting-conditions, this including new cases of one fund separation without risk-free opportunity. Applicability of the skewed cases to insurance and banking is discussed, as well as limitations.
Subjects: 
Portfolio separation
mutual fund theorem
elliptical distributions
(Lévy-Pareto) »-stable distributions
Lévy processes
stochastic dominance
portfolio constraints
incomplete markets
risk management
JEL: 
G11
C61
D81
D52
Document Type: 
Working Paper

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