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Linear Tests for Decreasing Absolute Risk Aversion Stochastic Dominance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10313817" target="_blank" >RIV/00216208:11320/15:10313817 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1287/mnsc.2014.1960" target="_blank" >http://dx.doi.org/10.1287/mnsc.2014.1960</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1287/mnsc.2014.1960" target="_blank" >10.1287/mnsc.2014.1960</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Linear Tests for Decreasing Absolute Risk Aversion Stochastic Dominance

  • Original language description

    We develop and implement linear formulations of convex stochastic dominance relations based on decreasing absolute risk aversion (DARA) for discrete and polyhedral choice sets. Our approach is based on a piecewise-exponential representation of utility and a local linear approximation to the exponentiation of log marginal utility. An empirical application to historical stock market data suggests that a passive stock market portfolio is DARA stochastic dominance inefficient relative to concentrated portfolios of small-cap stocks. The mean-variance rule and Nth-order stochastic dominance rules substantially underestimate the degree of market portfolio inefficiency because they do not penalize the unfavorable skewness of diversified portfolios, in violation of DARA.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP402%2F12%2FG097" target="_blank" >GBP402/12/G097: DYME-Dynamic Models in Economics</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • 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

    61

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    1615-1629

  • UT code for WoS article

    000357611900009

  • EID of the result in the Scopus database

    2-s2.0-84936953270