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<bibitem type="K">   <ARLID>0431755</ARLID> <utime>20240103204628.7</utime><mtime>20141021235959.9</mtime>   <WOS>000356417900033</WOS>         <title language="eng" primary="1">Multifactor dynamic credit risk model</title>  <specification> <page_count>6 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0432653</ARLID><ISBN>978-80-244-4209-9</ISBN><title>32nd International Conference Mathematical Methods in Economics MME 2014</title><part_num/><part_title/><page_num>185-190</page_num><publisher><place>Olomouc</place><name>Palacký University, Olomouc</name><year>2014</year></publisher></serial>    <keyword>loss given default</keyword>   <keyword>default rate</keyword>   <keyword>credit risk</keyword>    <author primary="1"> <ARLID>cav_un_auth*0071983</ARLID>  <share>50</share> <name1>Dufek</name1> <name2>J.</name2> <country>CZ</country> </author> <author primary="0"> <ARLID>cav_un_auth*0101206</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>Šmíd</name1> <name2>Martin</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/smid-0431755.pdf</url> </source>        <cas_special>  <abstract language="eng" primary="1">We propose a new dynamic model of the Merton type, based on the Vasicek  model. We generalize Vasicek model in three ways: we add model for loss given  default (LGD), we add dynamics to the model and we allow non-normal distri-  butions of risk factors. Then we add a retrospective interaction of underlying  factors and found a non-linear behaviour of these factors. In particular, the evolution of factors underlying the DR and the LGD is assumed to be ruled by a non-linear vector AR process with lagged DR and LGD and their non-linear transformations.  We apply our new model on real US mortgage data and demonstrate its statistical significance.</abstract>    <action target="EUR"> <ARLID>cav_un_auth*0306071</ARLID> <name>MME 2014. International Conference Mathematical Methods in Economics /32./</name> <dates>10.09.2014-12.09.2014</dates> <place>Olomouc</place> <country>CZ</country>  </action>  <RIV>BB</RIV>    <reportyear>2015</reportyear>      <num_of_auth>2</num_of_auth>  <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0237644</permalink>   <confidential>S</confidential>        <arlyear>2014</arlyear>       <unknown tag="mrcbU34"> 000356417900033 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0432653 32nd International Conference Mathematical Methods in Economics MME 2014 978-80-244-4209-9 185 190 32nd International Conference Mathematical Methods in Economics  MME 2014 Olomouc Palacký University, Olomouc 2014 </unknown> </cas_special> </bibitem>