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<bibitem type="J">   <ARLID>0345195</ARLID> <utime>20240903170621.4</utime><mtime>20100913235959.9</mtime>   <WOS>000280425000013</WOS>         <title language="eng" primary="1">Measuring of Second-order Stochastic Dominance Portfolio Efficiency</title>  <specification> <page_count>13 s.</page_count> </specification>    <serial><ARLID>cav_un_epca*0297163</ARLID><ISSN>0023-5954</ISSN><title>Kybernetika</title><part_num/><part_title/><volume_id>46</volume_id><volume>3 (2010)</volume><page_num>488-500</page_num><publisher><place/><name>Ústav teorie informace a automatizace AV ČR, v. v. i.</name><year/></publisher></serial>    <keyword>stochastic dominance</keyword>   <keyword>stability</keyword>   <keyword>SSD porfolio efficiency</keyword>    <author primary="1"> <ARLID>cav_un_auth*0254103</ARLID> <name1>Kopa</name1> <name2>Miloš</name2> <full_dept language="cz">Ekonometrie</full_dept> <full_dept language="eng">Department of Econometrics</full_dept> <department language="cz">E</department> <department language="eng">E</department> <institution>UTIA-B</institution> <full_dept>Department of Econometrics</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2010/E/kopa-measuring of second-order stochastic dominance portfolio efficiency.pdf</url> </source>        <cas_special> <project> <project_id>GAP402/10/1610</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0263483</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">In this paper, we deal with second-order stochastic dominance (SSD) portfolio efficiency with respect to all portfolios that can be created from a considered set of assets. Assuming scenario approach for distribution of returns several SSD portfolio efficiency tests were proposed. We introduce a $/delta$-SSD portfolio efficiency approach and we analyze the stability of SSD portfolio efficiency and $/delta$-SSD portfolio efficiency classification with respect to changes in scenarios of returns. We propose new SSD and $/delta$-SSD portfolio efficiency measures as measures of the stability. We derive a non-linear and mixed-integer non-linear programs for evaluating these measures. Contrary to all existing SSD portfolio inefficiency measures, these new measures allow us to compare any two $/delta$-SSD efficient or SSD efficient portfolios. Finally, using historical US stock market data, we compute $/delta$-SSD and SSD portfolio efficiency measures of several SSD efficient portfolios.</abstract>     <reportyear>2011</reportyear>  <RIV>BB</RIV>     <unknown tag="mrcbC52"> 4 O 4o 20231122134059.9 </unknown>  <permalink>http://hdl.handle.net/11104/0186520</permalink>          <unknown tag="mrcbT16-e">COMPUTERSCIENCECYBERNETICS</unknown> <unknown tag="mrcbT16-f">0.562</unknown> <unknown tag="mrcbT16-g">0.219</unknown> <unknown tag="mrcbT16-h">8.1</unknown> <unknown tag="mrcbT16-i">0.00125</unknown> <unknown tag="mrcbT16-j">0.22</unknown> <unknown tag="mrcbT16-k">463</unknown> <unknown tag="mrcbT16-l">73</unknown> <unknown tag="mrcbT16-q">21</unknown> <unknown tag="mrcbT16-s">0.323</unknown> <unknown tag="mrcbT16-y">20.57</unknown> <unknown tag="mrcbT16-x">0.48</unknown> <unknown tag="mrcbT16-4">Q2</unknown> <unknown tag="mrcbT16-B">27.15</unknown> <unknown tag="mrcbT16-C">23.684</unknown> <unknown tag="mrcbT16-D">Q3</unknown> <unknown tag="mrcbT16-E">Q2</unknown> <arlyear>2010</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0345195.pdf </unknown>    <unknown tag="mrcbU34"> 000280425000013 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 46 č. 3 2010 488 500 Ústav teorie informace a automatizace AV ČR, v. v. i. </unknown> </cas_special> </bibitem>