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<front>
<journal-meta>
<journal-id journal-id-type="publisher">IJCCR</journal-id>
<journal-title>International Journal of Cryptocurrency Research</journal-title>
<issn pub-type="epub">2790-1386</issn>
<publisher>
<publisher-name>SvedbergOpen</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="other">ijccr-1-1-004</article-id>
<doi-group>
<article-doi><ext-link ext-link-type="uri" xmlns:xlink="https://doi.org/" xlink:href=""></ext-link></article-doi>
</doi-group>
<article-categories>
<subj-group>
<subject>Research Paper</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>A Factor Risk Analysis of the Cross-Section of Cryptocurrency Returns: A Unique Asset Class</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Fleiss</surname><given-names>Alexander</given-names></name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor001"><sup>*</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Eom</surname><given-names>Gihyen</given-names></name>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tikhonova</surname><given-names>Daria</given-names></name>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tu</surname><given-names>Eric</given-names></name>
<xref ref-type="aff" rid="aff004"><sup>4</sup></xref>
</contrib>
</contrib-group>
<aff id="aff001"><sup>1</sup><instname>Rebellion Research</instname>, <instaddress>350 East 54<sup>th</sup> Street</instaddress>, <instcity>New York</instcity>, <instcountry>United States</instcountry>. E-mail: <email>alex@rebellionresearch.com</email></aff>
<aff id="aff002"><sup>2</sup><deptname>Mathematics of Finance, Department of Mathematics, Columbia University</deptname>, <instaddress>New York, NY 10027</instaddress>, <instcountry>United States</instcountry>. Email: <email>ge2247@columbia.edu</email></aff>
<aff id="aff003"><sup>3</sup><instname>Graduate Student, Fordham Gabelli School of Business</instname>, <instcity>New York</instcity>, <instcountry>United States</instcountry>. Email: <email>tikhonova@fordham.edu</email></aff>
<aff id="aff004"><sup>4</sup><instname>UC Berkeley School of Financial Engineering</instname>, <instaddress>2220 Piedmont Avenue, Berkeley, CA</instaddress>, <instcountry>United States</instcountry>. Email: <email>eric_tu@mfe.berkeley.edu</email></aff>
<author-notes>
<corresp id="cor001"><sup>*</sup>Corresponding author: Alexander Fleiss, <instname>Rebellion Research</instname>, <instaddress>350 East 54th Street</instaddress>, <instcity>New York</instcity>, <instcountry>United States</instcountry>. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink"
 xlink:href="https://www.rebellionresearch.com/">https://www.rebellionresearch.com/</ext-link>, E-mail: <email>alex@rebellionresearch.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>12</month>
<year>2021</year>
</pub-date>
<volume>1</volume>
<issue>1</issue>
<fpage>51</fpage>
<lpage>80</lpage>
<abstract>
<title>Abstract</title>
<p>We compare the explainability of cryptocurrency returns from macro and microeconomic risk factors during stressed and normal market environments, in particular, analyzing the effects of the Covid-19 pandemic to cryptocurrency return explainability. We find that risk-premiums are encapsulated within cryptocurrency-specific market factors in both stressed and normal market conditions. Furthermore, cryptocurrency factors, particularly relating to liquidity, momentum, and counterparty risk, showed evidence of providing stronger predictability of cryptocurrency returns during the Covid-19 pandemic compared to pre-pandemic levels. We find that during the stressed market environment, Fama-French 5 factors continue to provide low explainability to cryptocurrency returns.</p>
</abstract>
<kwd-group>
<title>Keywords</title>
<kwd>Cryptocurrency</kwd>
<kwd>Liquidity</kwd>
<kwd>Momentum</kwd>
<kwd>Risk Analysis</kwd>
<kwd>Factor Model</kwd>
<kwd>PCA</kwd>
</kwd-group>
<counts>
<ref-count count="6"/>
<page-count count="30"/>
</counts>
</article-meta>
</front>
<back>
<ref-list>
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