14 datasets found
  1. T

    Chinese Yuan Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Chinese Yuan Data [Dataset]. https://tradingeconomics.com/china/currency
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 2, 1981 - Jul 18, 2025
    Area covered
    China
    Description

    The USD/CNY exchange rate fell to 7.1806 on July 18, 2025, down 0.04% from the previous session. Over the past month, the Chinese Yuan has strengthened 0.08%, and is up by 1.42% over the last 12 months. Chinese Yuan - values, historical data, forecasts and news - updated on July of 2025.

  2. C

    China SSF: Expense: Asset Devaluation Loss

    • ceicdata.com
    Updated Apr 4, 2018
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    CEICdata.com (2018). China SSF: Expense: Asset Devaluation Loss [Dataset]. https://www.ceicdata.com/en/china/social-security-fund-financial-data-income-and-expenses-national-council-for-social-security-fund
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    Dataset updated
    Apr 4, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Description

    SSF: Expense: Asset Devaluation Loss data was reported at 1,707.304 RMB mn in 2023. This records a decrease from the previous number of 2,248.472 RMB mn for 2022. SSF: Expense: Asset Devaluation Loss data is updated yearly, averaging 764.356 RMB mn from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 23,884.792 RMB mn in 2020 and a record low of 0.000 RMB mn in 2011. SSF: Expense: Asset Devaluation Loss data remains active status in CEIC and is reported by National Council for Social Security Fund. The data is categorized under China Premium Database’s Financial Market – Table CN.ZC: Social Security Fund: Financial Data: Income and Expenses: National Council for Social Security Fund.

  3. f

    Literature on China exchange rate and trade.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Literature on China exchange rate and trade. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t004
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t004
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Literature on China exchange rate and trade.

  4. Contemporaneous effect of foreign variables on domestic variables.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Contemporaneous effect of foreign variables on domestic variables. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t013
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t013
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Contemporaneous effect of foreign variables on domestic variables.

  5. f

    Variables’ definitions and data source.

    • figshare.com
    xls
    Updated Jun 21, 2023
    + more versions
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Variables’ definitions and data source. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t005
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t005
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Variables’ definitions and data source.

  6. f

    Weak exogeneity of the country-specific foreign variables.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Weak exogeneity of the country-specific foreign variables. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t010
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t010
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Weak exogeneity of the country-specific foreign variables.

  7. Unit root test for domestic variables.

    • plos.figshare.com
    xls
    Updated Jun 20, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Unit root test for domestic variables. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t007
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t007
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Unit root test for domestic variables.

  8. f

    China imports (2018) in US billion $.

    • plos.figshare.com
    xls
    Updated Jun 20, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). China imports (2018) in US billion $. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t001
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t001
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China, United States
    Description

    China imports (2018) in US billion $.

  9. f

    China exports (2018) in US billion $.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). China exports (2018) in US billion $. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t002
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t002
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States, China
    Description

    China exports (2018) in US billion $.

  10. f

    China’s major merchandize trading partners in 2018 ($ billions).

    • plos.figshare.com
    xls
    Updated Jun 18, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). China’s major merchandize trading partners in 2018 ($ billions). [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t003
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t003
    Dataset updated
    Jun 18, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    China’s major merchandize trading partners in 2018 ($ billions).

  11. f

    Trade weight matrix.

    • figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Trade weight matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t006
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t006
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Trade weight matrix.

  12. PKsup test statistics.

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). PKsup test statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t011
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t011
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    PKsup test statistics.

  13. f

    Trace statistic test for Co-integration.

    • figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Trace statistic test for Co-integration. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t009
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t009
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Trace statistic test for Co-integration.

  14. PKmsq test statistics.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). PKmsq test statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t012
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0275859.t012
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    PKmsq test statistics.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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TRADING ECONOMICS (2025). Chinese Yuan Data [Dataset]. https://tradingeconomics.com/china/currency

Chinese Yuan Data

Chinese Yuan - Historical Dataset (1981-01-02/2025-07-18)

Explore at:
53 scholarly articles cite this dataset (View in Google Scholar)
xml, csv, excel, jsonAvailable download formats
Dataset updated
Jun 15, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 2, 1981 - Jul 18, 2025
Area covered
China
Description

The USD/CNY exchange rate fell to 7.1806 on July 18, 2025, down 0.04% from the previous session. Over the past month, the Chinese Yuan has strengthened 0.08%, and is up by 1.42% over the last 12 months. Chinese Yuan - values, historical data, forecasts and news - updated on July of 2025.

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