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<bibitem type="C">   <ARLID>0507283</ARLID> <utime>20240103222354.7</utime><mtime>20190806235959.9</mtime>   <WOS>000385239500080</WOS>            <title language="eng" primary="1">Capital market efficiency in the Ising model environment: Local and global effects</title>  <specification> <page_count>6 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0462920</ARLID><ISBN>978-80-7494-296-9</ISBN><title>Proceedings of the 34th International Conference Mathematical Methods in Economics MME 2016</title><part_num/><part_title/><page_num>465-470</page_num><publisher><place>Liberec</place><name>Technical University</name><year>2016</year></publisher><editor><name1>Kocourek</name1><name2>A.</name2></editor></serial>    <keyword>Ising model</keyword>   <keyword>efficient market hypothesis</keyword>   <keyword>Monte Carlo simulation</keyword>    <author primary="1"> <ARLID>cav_un_auth*0256902</ARLID> <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> <full_dept>Department of Econometrics</full_dept> <share>50</share> <name1>Krištoufek</name1> <name2>Ladislav</name2> <institution>UTIA-B</institution> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101230</ARLID> <full_dept language="cz">Ekonometrie</full_dept> <full_dept>Department of Econometrics</full_dept> <department language="cz">E</department> <department>E</department> <full_dept>Department of Econometrics</full_dept> <share>50</share> <name1>Vošvrda</name1> <name2>Miloslav</name2> <institution>UTIA-B</institution> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2019/E/kristoufek-0507283.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0281000</ARLID> <project_id>GBP402/12/G097</project_id> <agency>GA ČR</agency> <country>CZ</country> </project> <project> <ARLID>cav_un_auth*0308905</ARLID> <project_id>612955</project_id> <agency>EC</agency> <country>XE</country>   </project>  <abstract language="eng" primary="1">Financial Ising model is one of the simplest agent-based models (building on a parallel between capital markets and the Ising model of ferromag- netism) mimicking the most important stylized facts of financial returns such as no serial correlation, fat tails, volatility clustering and volatility persistence on the verge of non-stationarity. We present results of Monte Carlo simulation study investigating the relationship between parameters of the model (related to herding and minority game behaviors) and crucial characteristics of capital market e ciency (with respect to the e cient market hypothesis). We find a strongly non-linear relationship between these which opens possibilities for further research. Specifically, the existence of both herding and minority game behavior of market participants are necessary for attaining the e cient market in the sense of the e cient market hypothesis.</abstract>    <action target="EUR"> <ARLID>cav_un_auth*0333702</ARLID> <name>MME 2016. International Conference Mathematical Methods in Economics /34./</name> <dates>06.09.2016-09.09.2016</dates> <place>Liberec</place> <country>CZ</country>  </action>  <RIV>AH</RIV> <FORD0>50000</FORD0> <FORD1>50200</FORD1> <FORD2>50202</FORD2>    <reportyear>2020</reportyear>      <num_of_auth>2</num_of_auth>  <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0298751</permalink>   <confidential>S</confidential>  <unknown tag="mrcbC86"> n.a. Proceedings Paper Economics|Social Sciences Mathematical Methods  </unknown>       <arlyear>2016</arlyear>       <unknown tag="mrcbU14"> SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000385239500080 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0462920 Proceedings of the 34th International Conference Mathematical Methods in Economics MME 2016 978-80-7494-296-9 465 470 Liberec Technical University 2016 </unknown> <unknown tag="mrcbU67"> 340 Kocourek A. </unknown> <unknown tag="mrcbU67"> 340 Vavroušek M. </unknown> </cas_special> </bibitem>