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<bibitem type="J">   <ARLID>0433529</ARLID> <utime>20240103204842.7</utime><mtime>20141023235959.9</mtime>   <SCOPUS>84897552579</SCOPUS> <WOS>000337854500019</WOS>  <DOI>10.1016/j.physa.2014.03.015</DOI>           <title language="eng" primary="1">Detrending moving-average cross-correlation coefficient: Measuring cross-correlations between non-stationary series</title>  <specification> <page_count>7 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0257423</ARLID><ISSN>0378-4371</ISSN><title>Physica. A : Statistical Mechanics and its Applications</title><part_num/><part_title/><volume_id>406</volume_id><volume>1 (2014)</volume><page_num>169-175</page_num><publisher><place/><name>Elsevier</name><year/></publisher></serial>    <keyword>correlations</keyword>   <keyword>econophysics</keyword>   <keyword>non-stationarity</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>100</share> <name1>Krištoufek</name1> <name2>Ladislav</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/2014/E/kristoufek-0433529.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0284442</ARLID> <project_id>GAP402/11/0948</project_id> <agency>GA ČR</agency> <country>CZ</country> </project> <project> <ARLID>cav_un_auth*0303546</ARLID> <project_id>GP14-11402P</project_id> <agency>GA ČR</agency> <country>CZ</country> </project>  <abstract language="eng" primary="1">In the paper, we introduce a new measure of correlation between possibly non-stationary series. As the measure is based on the detrending moving-average cross-correlation analysis (DMCA), we label it as the DMCA coefficient ρDMCA(λ) with a moving average window length λ. We analytically show that the coefficient ranges between −1 and 1 as a standard correlation does. In the simulation study, we show that the values of ρDMCA(λ) very well correspond to the true correlation between the analyzed series regardless the (non-)stationarity level. Dependence of the newly proposed measure on other parameters – correlation level, moving average window length and time series length – is discussed as well.</abstract>     <RIV>AH</RIV>    <reportyear>2015</reportyear>      <num_of_auth>1</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0237765</permalink>   <confidential>S</confidential>          <unknown tag="mrcbT16-e">PHYSICSMULTIDISCIPLINARY</unknown> <unknown tag="mrcbT16-j">0.449</unknown> <unknown tag="mrcbT16-s">0.639</unknown> <unknown tag="mrcbT16-4">Q2</unknown> <unknown tag="mrcbT16-B">47.398</unknown> <unknown tag="mrcbT16-C">68.590</unknown> <unknown tag="mrcbT16-D">Q3</unknown> <unknown tag="mrcbT16-E">Q3</unknown> <arlyear>2014</arlyear>       <unknown tag="mrcbU14"> 84897552579 SCOPUS </unknown> <unknown tag="mrcbU34"> 000337854500019 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0257423 Physica. A : Statistical Mechanics and its Applications 0378-4371 1873-2119 Roč. 406 č. 1 2014 169 175 Elsevier </unknown> </cas_special> </bibitem>