11 datasets found
  1. H

    The Causal Linkages between Sovereign CDS Prices for the BRICS and Major...

    • dataverse.harvard.edu
    • data.niaid.nih.gov
    Updated Jun 26, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mikhail Stolbov (2014). The Causal Linkages between Sovereign CDS Prices for the BRICS and Major European Economies [Dataset] [Dataset]. http://doi.org/10.7910/DVN/24788
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 26, 2014
    Dataset provided by
    Harvard Dataverse
    Authors
    Mikhail Stolbov
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 2010 - Sep 2013
    Area covered
    Europe, Germany, Spain, BRICS countries, France, the UK, Italy
    Description

    The article examines causal relationships between sovereign credit default swaps (CDS) prices for the BRICS and most important EU economies (Germany, France, the UK, Italy, Spain) during the European debt crisis. The cross-correlation function (CCF) approach used in the research distinguishes between causality-in-mean and causality-in-variance. In both causality dimensions, the BRICS CDS prices tend to Granger cause those of the EU counterparts with the exception of Germany. Italy and Spain exhibit the highest dependence on the BRICS, whereas only India has a negative balance of outgoing and incoming causal linkages among the BRICS. Thus, the paper underscores the signs of decoupling effects in the sovereign CDS market and also supports the view that the European debt crisis has so far had a limited non-EU impact in this market.

  2. f

    Descriptive statistics for the bank and sovereign CDS spreads, the bank and...

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet (2024). Descriptive statistics for the bank and sovereign CDS spreads, the bank and country variables and the market variables. [Dataset]. http://doi.org/10.1371/journal.pone.0292040.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet
    License

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

    Description

    Descriptive statistics for the bank and sovereign CDS spreads, the bank and country variables and the market variables.

  3. f

    Correlation matrix.

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet (2024). Correlation matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0292040.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet
    License

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

    Description

    We investigate the effectiveness of the Bank Recovery and Resolution Directive (BRRD) in mitigating the transmission of credit risk from banks to their sovereign, using CDS spreads to capture bank and sovereign credit risk for a sample of 43 banks in 8 Euro Area countries over the period 2009–2020. If the BRRD bail-in framework is credible, changes in bank default risk should not be transmitted to sovereign risk. In a novel approach we use banks earnings announcements to identify exogenous shocks to bank credit risk and investigate to what extent bank risk is transmitted to sovereign risk before and during the BRRD era. We find that bank-to-sovereign risk transmission has diminished after the introduction of the BRRD, suggesting that financial markets judge the BRRD framework as credible. The decline in bank-sovereign risk transmission is particularly significant in the periphery Euro Area countries, especially Italy and Spain, where the bank-sovereign nexus was most pronounced during the sovereign debt crisis. We report that the lower bank-to-sovereign credit risk transmission is associated with the parliamentary approval of the BRRD and not with the OMT program launched by the ECB to affect sovereign yield spreads, nor with specific bail-in or bailout cases which occurred during the BRRD era. Finally, we document that the reduction in risk transmission is most pronounced for banks classified as a Global Systemically Important Bank (G-SIB), stressing the importance of additional capital buffers imposed by Basel III.

  4. Estimation of the bank-to-sovereign risk transmission comparing the SSM...

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet (2024). Estimation of the bank-to-sovereign risk transmission comparing the SSM period to the BRRD period. [Dataset]. http://doi.org/10.1371/journal.pone.0292040.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet
    License

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

    Description

    Standard errors in parentheses are clustered at the bank level. *** represents significance at the 1% percent level.

  5. f

    Estimation of the effect of BRRD on the bank-sovereign risk transmission...

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet (2024). Estimation of the effect of BRRD on the bank-sovereign risk transmission channel (Eq (1)) for each country separately. [Dataset]. http://doi.org/10.1371/journal.pone.0292040.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet
    License

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

    Description

    Standard errors in parentheses are clustered at the bank level. *, ** and *** represents significance at the 10%, 5% and 1% percent level, respectively.

  6. f

    Bank-sovereign risk channel in different regimes (based on Eq (5)).

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet (2024). Bank-sovereign risk channel in different regimes (based on Eq (5)). [Dataset]. http://doi.org/10.1371/journal.pone.0292040.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet
    License

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

    Description

    Standard errors in parentheses are clustered at the bank level. *, ** and *** represent significance at the 10%, 5% and 1% percent level, respectively.

  7. f

    Estimation of the transmission of bank-to-sovereign credit risk using...

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet (2024). Estimation of the transmission of bank-to-sovereign credit risk using dummies for the introduction of the BRRD regulation. [Dataset]. http://doi.org/10.1371/journal.pone.0292040.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet
    License

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

    Description

    Panel A displays the results for the BRRD dummy from 15/04/2014 onwards, panel B shows the findings when considering 01/01/2016 as the BRRD implementation. Standard errors in parentheses are clustered at the bank level. *** represents significance at the 1% percent level.

  8. T

    Romania 10-Year Government Bond Yield Data

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Romania 10-Year Government Bond Yield Data [Dataset]. https://tradingeconomics.com/romania/government-bond-yield
    Explore at:
    xml, excel, json, csvAvailable 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
    Aug 16, 2007 - Jul 31, 2025
    Area covered
    Romania
    Description

    The yield on Romania 10Y Bond Yield rose to 7.28% on July 31, 2025, marking a 0.03 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.17 points, though it remains 0.63 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Romania 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

  9. f

    Estimation of the bank-to-sovereign risk transmission before and during the...

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet (2024). Estimation of the bank-to-sovereign risk transmission before and during the BRRD. [Dataset]. http://doi.org/10.1371/journal.pone.0292040.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet
    License

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

    Description

    The table displays the findings when considering 15/04/2014 as the BRRD implementation. Standard errors in parentheses are clustered at the bank level. *** represents significance at the 1% percent level.

  10. f

    This table presents the results when extending Eq (1) with an interaction of...

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet (2024). This table presents the results when extending Eq (1) with an interaction of the bank shock with the G-SIB buffer of the bank. [Dataset]. http://doi.org/10.1371/journal.pone.0292040.t010
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet
    License

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

    Description

    Standard errors in parentheses are clustered at the bank level. *, ** and *** represent significance at the 10%, 5% and 1% percent level, respectively.

  11. T

    Colombia 10-Year Government Bond Yield Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, Colombia 10-Year Government Bond Yield Data [Dataset]. https://tradingeconomics.com/colombia/government-bond-yield
    Explore at:
    json, xml, csv, excelAvailable download formats
    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
    Sep 16, 2002 - Jul 29, 2025
    Area covered
    Colombia
    Description

    The yield on Colombia 10Y Bond Yield eased to 11.77% on July 29, 2025, marking a 0.08 percentage point decrease from the previous session. Over the past month, the yield has fallen by 0.48 points, though it remains 1.18 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Colombia 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Mikhail Stolbov (2014). The Causal Linkages between Sovereign CDS Prices for the BRICS and Major European Economies [Dataset] [Dataset]. http://doi.org/10.7910/DVN/24788

The Causal Linkages between Sovereign CDS Prices for the BRICS and Major European Economies [Dataset]

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 26, 2014
Dataset provided by
Harvard Dataverse
Authors
Mikhail Stolbov
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Time period covered
Jan 2010 - Sep 2013
Area covered
Europe, Germany, Spain, BRICS countries, France, the UK, Italy
Description

The article examines causal relationships between sovereign credit default swaps (CDS) prices for the BRICS and most important EU economies (Germany, France, the UK, Italy, Spain) during the European debt crisis. The cross-correlation function (CCF) approach used in the research distinguishes between causality-in-mean and causality-in-variance. In both causality dimensions, the BRICS CDS prices tend to Granger cause those of the EU counterparts with the exception of Germany. Italy and Spain exhibit the highest dependence on the BRICS, whereas only India has a negative balance of outgoing and incoming causal linkages among the BRICS. Thus, the paper underscores the signs of decoupling effects in the sovereign CDS market and also supports the view that the European debt crisis has so far had a limited non-EU impact in this market.

Search
Clear search
Close search
Google apps
Main menu