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<bibitem type="C">   <ARLID>0385930</ARLID> <utime>20240103201816.6</utime><mtime>20130111235959.9</mtime>   <WOS>000317528600033</WOS>         <title language="eng" primary="1">Value at Risk application to FSD portfolio efficiency testing</title>  <specification> <page_count>6 s.</page_count> <media_type>P</media_type> </specification>    <serial><ARLID>cav_un_epca*0385929</ARLID><ISBN>978-80-248-2835-0</ISBN><title>Proceedings of Managing and Modelling of Financial Risks 2012</title><part_num/><part_title/><page_num>320-325</page_num><publisher><place>Ostrava</place><name>VŠB-Technická univerzita Ostrava, Ekonomická fakulta</name><year>2012</year></publisher></serial>    <keyword>Value at Risk</keyword>   <keyword>first order stochastic dominance</keyword>   <keyword>portfolio 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> <garant>G</garant>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2013/E/kopa-value at risk application to fsd portfolio efficiency testing.pdf</url> </source>        <cas_special> <project> <project_id>GBP402/12/G097</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0281000</ARLID> </project>  <abstract language="eng" primary="1">The paper deals with efficiency testing of a given portfolio with respect to all other portfolios that can be created from the considered set of assets. The efficiency is based on the first order stochastic dominance (FSD) relation. A necessary and sufficient condition for the first order stochastic dominance criterion is expressed in terms of Value at Risks (VaRs). Consequently a FSD portfolio efficiency test based on VaRs is formulated. Contrary to the usual case, a general discrete distribution of portfolio returns is assumed what makes the test computationally more demanding comparing to the equiprobable scenarios case. Therefore we present a tractable reformulation of this test that turns constraints on VaRs into classical mixed-integer nonlinear programming problem.</abstract>  <action target="EUR"> <ARLID>cav_un_auth*0287100</ARLID> <name>Managing and modeling of financial risks 2012</name>  <place>Ostrava</place> <dates>10.09.2012-11.09.2012</dates>  <country>CZ</country> </action>    <reportyear>2013</reportyear>  <RIV>BB</RIV>      <num_of_auth>1</num_of_auth>  <presentation_type> ZP </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0216178</permalink>        <arlyear>2012</arlyear>       <unknown tag="mrcbU34"> 000317528600033 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0385929 Proceedings of Managing and Modelling of Financial Risks 2012 978-80-248-2835-0 320 325 Proceedings of Managing and Modelling of Financial Risks 2012 Ostrava VŠB-Technická univerzita Ostrava, Ekonomická fakulta 2012 </unknown> </cas_special> </bibitem>