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    <dc:publisher>Economics: The Open-Access, Open Assessment E-Journal</dc:publisher>
    <dc:publisher>http://www.economics-ejournal.org</dc:publisher>
    <dc:language>en</dc:language>

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<dc:creator>Genaro Sucarrat</dc:creator>
<dc:title>Forecast Evaluation of Explanatory Models of Financial Return Variability</dc:title>
<dc:date>2008-04-23</dc:date>
<dc:description>A practice that has become widespread is that of comparing forecasts of financial return
variability obtained from discrete time models against high frequency estimates based on
continuous time theory. In explanatory financial return variability modelling this raises
several methodological and practical issues, which suggests an alternative framework is
needed. The contribution of this study is twofold. First, the finite sample properties of
operational and practical procedures for the forecast evaluation of explanatory discrete
time models of financial return variability are studied. Second, with basis in the
simulation results a simple framework is proposed and illustrated. Paper submitted to the
special issue &#8220; Using Econometrics for Assessing Economic Models &#8221; edited by
Katarina Juselius.</dc:description>
<dc:identifier>http://www.economics-ejournal.org/economics/discussionpapers/2008-18</dc:identifier>
<dc:subject>JEL C52</dc:subject>
<dc:subject>JEL C53</dc:subject>
<dc:subject>JEL F31</dc:subject>
<dc:subject>JEL F37</dc:subject>


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