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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 &quot;superconvex&quot; 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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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