Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/178578
Authors: 
Keçeci, Neslihan Fidan
Kuzmenko, Viktor
Uryasev, Stan
Year of Publication: 
2016
Citation: 
[Journal:] Journal of Risk and Financial Management [ISSN:] 1911-8074 [Volume:] 9 [Year:] 2016 [Issue:] 4 [Pages:] 1-14
Abstract: 
The paper compares portfolio optimization with the Second-Order Stochastic Dominance (SSD) constraints with mean-variance and minimum variance portfolio optimization. As a distribution-free decision rule, stochastic dominance takes into account the entire distribution of return rather than some specific characteristic, such as variance. The paper is focused on practical applications of the portfolio optimization and uses the Portfolio Safeguard (PSG) package, which has precoded modules for optimization with SSD constraints, mean-variance and minimum variance portfolio optimization. We have done in-sample and out-of-sample simulations for portfolios of stocks from the Dow Jones, S&P 100 and DAX indices. The considered portfolios' SSD dominate the Dow Jones, S&P 100 and DAX indices. Simulation demonstrated a superior performance of portfolios with SD constraints, versus mean-variance and minimum variance portfolios.
Subjects: 
stochastic dominance
stochastic order
portfolio optimization
portfolio selection
Dow Jones Index
S&P 100 Index
DAX index
partial moment
conditional value-at-risk
CVaR
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/4.0/
Document Type: 
Article

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