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      <namePart>Zhang, Yi</namePart>
   </name>
   <titleInfo>
      <title>DEFAULT RISK AND MOMENTUM PREMIUM </title>
   </titleInfo>
   <originInfo>
      <dateCreated keyDate="yes">2022</dateCreated>
   </originInfo>
   <note displayLabel="Degree Awarded">Spring 2022</note>
   <typeOfResource authority="aat" valueURI="http://vocab.getty.edu/page/aat/300028029">Dissertation</typeOfResource>
   <name type="corporate">
      <affiliation>Illinois Institute of Technology</affiliation>
   </name>
   <name type="corporate">
      <namePart>SSB / Stuart School of Business</namePart>
   </name>
   <name authority="wikidata" authorityURI="https://www.wikidata.org" valueURI="https://www.wikidata.org/wiki/Q125259675">
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      <namePart>Wang, Haizhi</namePart>
   </name>
   <subject>
      <topic>Finance</topic>
   </subject>
   <subject>
      <topic>Assets Pricing</topic>
   </subject>
   <subject>
      <topic>Default Risk</topic>
   </subject>
   <subject>
      <topic>Factor Model</topic>
   </subject>
   <subject>
      <topic>Momentum</topic>
   </subject>
   <subject>
      <topic>Risk exposure</topic>
   </subject>
   <subject>
      <topic>Stock returns</topic>
   </subject>
   <language>
      <languageTerm type="code" authority="rfc3066">en</languageTerm>
   </language>
   <abstract>Birge and Zhang (2018) reported that combining common factors models with functions of the default risk improves models' performance to explain stock returns. Default risk contains firm specific information and may help to explain momentum premium that compensates investors for the firm specific risk exposures. In this paper, we confirmed that the forward-looking measure of default risk, as proposed by Birge and Zhang (2018), seems to capture some pricing information in the momentum premium. This provides an alternative to explain the underlying risks associated with the momentum strategy.</abstract>
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