
<ns0:uwmetadata xmlns:ns0="http://phaidra.univie.ac.at/XML/metadata/V1.0" xmlns:ns1="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0" xmlns:ns10="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0" xmlns:ns11="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0/entity" xmlns:ns12="http://phaidra.univie.ac.at/XML/metadata/digitalbook/V1.0" xmlns:ns13="http://phaidra.univie.ac.at/XML/metadata/etheses/V1.0" xmlns:ns2="http://phaidra.univie.ac.at/XML/metadata/extended/V1.0" xmlns:ns3="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/entity" xmlns:ns4="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/requirement" xmlns:ns5="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/educational" xmlns:ns6="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/annotation" xmlns:ns7="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/classification" xmlns:ns8="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/organization" xmlns:ns9="http://phaidra.univie.ac.at/XML/metadata/histkult/V1.0">
  <ns1:general>
    <ns1:identifier>o:29220</ns1:identifier>
    <ns1:title language="en">Multiscale Volatility Transmission and Portfolio Construction Between the Baltic Stock Markets*</ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">Abstract
This paper investigates volatility transmission and portfolio construction between the three
Baltic stock indices at different time-horizons. Methodologies used for this study encompass
parametric EGARCH model and the three non-parametric approaches – wavelet coherence,
wavelet correlation and phase difference. Wavelet coherence indicated that risk integration
between the Baltic stock markets is not so strong, while wavelet correlations confirmed this
contention more precisely. Additional analysis showed that low wavelet correlations are also
present between the Baltic indices and the German DAX index. These findings may suggest
that the selected indices could be useful for the construction of risk-minimizing portfolios. In
order to confirm (discard) this assumption, we constructed wavelet-based two-asset
portfolios. The results provided evidence that hedging opportunities exist when the Baltic
indices are combined between themselves, but also when they are coupled with the DAX index.
This is particularly true for the longer time-horizons. </ns1:description>
    <ns1:keyword language="en">Keywords: Baltic stock indices, volatility transmission, EGARCH model, wavelet coherence, wavelet correlation, phase difference</ns1:keyword>
    <ns2:identifiers>
      <ns2:resource>1552101</ns2:resource>
      <ns2:identifier>0015-1920</ns2:identifier>
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  <ns1:lifecycle>
    <ns1:upload_date>2023-05-09T11:25:28.122Z</ns1:upload_date>
    <ns1:status>44</ns1:status>
    <ns2:peer_reviewed>no</ns2:peer_reviewed>
    <ns1:contribute seq="0">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Dejan</ns3:firstname>
        <ns3:lastname>Živkov</ns3:lastname>
      </ns1:entity>
      <ns1:entity seq="1">
        <ns3:firstname>Slavica</ns3:firstname>
        <ns3:lastname>Manić</ns3:lastname>
        <ns3:institution>Univerzitet u Beogradu Ekonomski fakultet</ns3:institution>
        <ns3:type>person</ns3:type>
        <ns3:conor>12719207</ns3:conor>
        <ns3:orcid>0000-0003-2730-3215</ns3:orcid>
      </ns1:entity>
      <ns1:entity seq="2">
        <ns3:firstname>Jasmina</ns3:firstname>
        <ns3:lastname>Đurašković</ns3:lastname>
        <ns3:institution>Institut ekonomskih nauka</ns3:institution>
        <ns3:type>person</ns3:type>
      </ns1:entity>
    </ns1:contribute>
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  <ns1:technical>
    <ns1:format>application/pdf</ns1:format>
    <ns1:size>1382728</ns1:size>
    <ns1:location>https://phaidrabg.bg.ac.rs/o:29220</ns1:location>
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  <ns1:rights>
    <ns1:cost>no</ns1:cost>
    <ns1:copyright>yes</ns1:copyright>
    <ns1:license>1</ns1:license>
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    <ns1:purpose>70</ns1:purpose>
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    <ns8:orgassignment>
      <ns8:faculty>11A03</ns8:faculty>
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  </ns1:organization>
  <ns12:digitalbook>
    <ns12:name_magazine language="en">Finance a Uver - Czech Journal of Economics and Finance</ns12:name_magazine>
    <ns12:volume>69</ns12:volume>
    <ns12:booklet>2</ns12:booklet>
    <ns12:from_page>211</ns12:from_page>
    <ns12:to_page>235</ns12:to_page>
    <ns12:releaseyear>2019</ns12:releaseyear>
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