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    <identifier>10.57760/sciencedb.j00214.00105</identifier>
    <datestamp>2025-01-08T16:25:12Z</datestamp>
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  <dc:date>2025-01-08</dc:date>
  <dc:title>Return and Risk Data of Chinese Listed Financial Institutions from 2017 to 2023</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00214.00105</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset contains the following folders:&amp;nbsp;File return_risk: Among them, ES_full_99.csv is the daily expected loss data of Chinese listed financial institutions, and the daily logarithmic return data of totals. xlsx. The duration is from 1/3/2017 to 7/21/2023, listed as stock market code.&amp;nbsp;File return_risk: where total ogreturn. xlsx represents the expected loss data of Chinese listed financial institutions, and total ogreturn. xlsx represents the logarithmic return data.&amp;nbsp;File return_net: The time-varying yield network obtained by the model.&amp;nbsp;File ESfull99: The time-varying expected loss network obtained by the model.&amp;nbsp;File network_character: Characteristics of time-varying yield network (weizheng. csv) and time-varying expected loss network (zongzheng. csv)&amp;nbsp;The file Figure_data is the data file for the graphics in the article.&amp;nbsp;The file code is the result code of the article.&amp;nbsp;</dc:description>
  <dc:subject>Local Gaussian correlation; Semi parametric method; Multi layer network; Tail risk ; Risk spillover</dc:subject>
  <dc:creator>Ren Xiaohang</dc:creator>
  <dc:creator>Fu Chenjia</dc:creator>
  <dc:creator>lingzhou</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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