Portfolio Choice Based on Third-Degree Stochastic Dominance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10367492" target="_blank" >RIV/00216208:11320/17:10367492 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1287/mnsc.2016.2506" target="_blank" >http://dx.doi.org/10.1287/mnsc.2016.2506</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1287/mnsc.2016.2506" target="_blank" >10.1287/mnsc.2016.2506</a>
Alternative languages
Result language
angličtina
Original language name
Portfolio Choice Based on Third-Degree Stochastic Dominance
Original language description
We develop an optimization method for constructing investment portfolios that dominate a given benchmark portfolio in terms of third-degree stochastic dominance. Our approach relies on the properties of the semivariance function, a refinement of an existing "superconvex" dominance condition, and quadratic constrained programming. We apply our method to historical stock market data using an industry momentum strategy. Our enhanced portfolio generates important performance improvements compared with alternatives based on mean-variance dominance and second-degree stochastic dominance. Relative to the Center for Research in Security Prices all-share index, our portfolio increases average out-of-sample return by almost seven percentage points per annum without incurring more downside risk, using quarterly rebalancing and without short selling.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA15-02938S" target="_blank" >GA15-02938S: Stochastic dominance in operations research</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Management Science
ISSN
0025-1909
e-ISSN
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Volume of the periodical
63
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
3381-3392
UT code for WoS article
000414080400014
EID of the result in the Scopus database
2-s2.0-85029731083