100+ datasets found
  1. Democratic Republic of Congo CD: Interest Rate Spread

    • ceicdata.com
    Updated Jul 21, 2019
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    CEICdata.com (2019). Democratic Republic of Congo CD: Interest Rate Spread [Dataset]. https://www.ceicdata.com/en/democratic-republic-of-congo/interest-rates/cd-interest-rate-spread
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    Dataset updated
    Jul 21, 2019
    Dataset provided by
    CEIC Data
    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, 2007 - Dec 1, 2017
    Area covered
    Democratic Republic of the Congo
    Description

    Congo, The Democratic Republic of the CD: Interest Rate Spread data was reported at 16.436 % pa in 2017. This records an increase from the previous number of 15.671 % pa for 2016. Congo, The Democratic Republic of the CD: Interest Rate Spread data is updated yearly, averaging 20.727 % pa from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 49.343 % pa in 2009 and a record low of 14.657 % pa in 2013. Congo, The Democratic Republic of the CD: Interest Rate Spread data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank: Interest Rates. Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; Median;

  2. J

    Analyzing credit risk transmission to the nonfinancial sector in Europe: A...

    • jda-test.zbw.eu
    • journaldata.zbw.eu
    csv, txt
    Updated Jul 22, 2024
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    Christian Gross; Pierre L. Siklos; Christian Gross; Pierre L. Siklos (2024). Analyzing credit risk transmission to the nonfinancial sector in Europe: A network approach (replication data) [Dataset]. https://jda-test.zbw.eu/dataset/analyzing-credit-risk-transmission-to-the-nonfinancial-sector-in-europe-a-network-approach
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    txt(2050), csv(5214190), csv(2977651)Available download formats
    Dataset updated
    Jul 22, 2024
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Christian Gross; Pierre L. Siklos; Christian Gross; Pierre L. Siklos
    License

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

    Area covered
    Europe
    Description

    We use a factor model and elastic net shrinkage to model a high-dimensional network of European credit default swap (CDS) spreads. Our empirical approach allows us to assess the joint transmission of bank and sovereign risk to the nonfinancial corporate sector. Our findings identify a sectoral clustering in the CDS network, where financial institutions are in the center and nonfinancial entities as well as sovereigns are grouped around the financial center. The network has a geographical component reflected in different patterns of real-sector risk transmission across countries. Our framework also provides dynamic estimates of risk transmission, a useful tool for systemic risk monitoring.

  3. f

    Correlation matrix.

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
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    Martien Lamers; Thomas Present; Nicolas Soenen; Rudi Vander Vennet (2024). Correlation matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0292040.t002
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    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. F

    Treasury Yield: 3 Month CD <100M

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
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    (2025). Treasury Yield: 3 Month CD <100M [Dataset]. https://fred.stlouisfed.org/series/TY3MCD
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    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Treasury Yield: 3 Month CD <100M (TY3MCD) from Apr 2021 to Jun 2025 about CD, 3-month, Treasury, yield, interest rate, interest, rate, and USA.

  5. f

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

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
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    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
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    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.

  6. Materials Data on YbCd6 by Materials Project

    • osti.gov
    Updated Apr 29, 2020
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    The Materials Project (2020). Materials Data on YbCd6 by Materials Project [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1283686
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    Dataset updated
    Apr 29, 2020
    Dataset provided by
    Office of Sciencehttp://www.er.doe.gov/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Authors
    The Materials Project
    Description

    Cd6Yb crystallizes in the cubic I23 space group. The structure is three-dimensional. Yb is bonded in a 2-coordinate geometry to sixteen Cd atoms. There are a spread of Yb–Cd bond distances ranging from 3.31–3.70 Å. There are nine inequivalent Cd sites. In the first Cd site, Cd is bonded to two equivalent Yb and ten Cd atoms to form distorted CdYb2Cd10 cuboctahedra that share corners with four equivalent CdYb2Cd10 cuboctahedra, an edgeedge with one CdYb2Cd10 cuboctahedra, and faces with six equivalent CdYb3Cd9 cuboctahedra. There are a spread of Cd–Cd bond distances ranging from 2.84–3.35 Å. In the second Cd site, Cd is bonded in a 10-coordinate geometry to three equivalent Yb and seven Cd atoms. There are a spread of Cd–Cd bond distances ranging from 2.96–3.14 Å. In the third Cd site, Cd is bonded in a 10-coordinate geometry to three equivalent Yb and seven Cd atoms. There are a spread of Cd–Cd bond distances ranging from 2.91–3.23 Å. In the fourth Cd site, Cd is bonded in a 10-coordinate geometry to three equivalent Yb and seven Cd atoms. There are a spread of Cd–Cd bond distances ranging from 2.96–2.99 Å. In the fifth Cd site, Cd is bonded inmore » a distorted q6 geometry to three equivalent Yb and six Cd atoms. In the sixth Cd site, Cd is bonded in a 10-coordinate geometry to three equivalent Yb and seven Cd atoms. There are one shorter (3.02 Å) and one longer (3.04 Å) Cd–Cd bond lengths. In the seventh Cd site, Cd is bonded in a 11-coordinate geometry to two equivalent Yb and nine Cd atoms. There are a spread of Cd–Cd bond distances ranging from 3.04–3.27 Å. In the eighth Cd site, Cd is bonded to three equivalent Yb and nine Cd atoms to form CdYb3Cd9 cuboctahedra that share an edgeedge with one CdYb3Cd9 cuboctahedra and faces with nine CdYb2Cd10 cuboctahedra. The Cd–Cd bond length is 3.04 Å. In the ninth Cd site, Cd is bonded in a 7-coordinate geometry to seven Cd atoms. All Cd–Cd bond lengths are 3.03 Å.« less

  7. Materials Data on Cd5Ni by Materials Project

    • osti.gov
    Updated Apr 29, 2020
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    USDOE Office of Science (SC), Basic Energy Sciences (BES) (2020). Materials Data on Cd5Ni by Materials Project [Dataset]. http://doi.org/10.17188/1651791
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    Dataset updated
    Apr 29, 2020
    Dataset provided by
    Office of Sciencehttp://www.er.doe.gov/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Description

    Cd5Ni crystallizes in the orthorhombic Cmm2 space group. The structure is three-dimensional. there are four inequivalent Ni sites. In the first Ni site, Ni is bonded in a 8-coordinate geometry to one Ni and seven Cd atoms. The Ni–Ni bond length is 2.62 Å. There are a spread of Ni–Cd bond distances ranging from 2.56–2.77 Å. In the second Ni site, Ni is bonded in a 10-coordinate geometry to one Ni and nine Cd atoms. The Ni–Ni bond length is 2.81 Å. There are a spread of Ni–Cd bond distances ranging from 2.62–2.84 Å. In the third Ni site, Ni is bonded in a distorted q6 geometry to two equivalent Ni and eight Cd atoms. There are a spread of Ni–Cd bond distances ranging from 2.81–2.87 Å. In the fourth Ni site, Ni is bonded in a 8-coordinate geometry to eight Cd atoms. There are a spread of Ni–Cd bond distances ranging from 2.66–2.80 Å. There are sixteen inequivalent Cd sites. In the first Cd site, Cd is bonded in a 1-coordinate geometry to five Cd atoms. There are a spread of Cd–Cd bond distances ranging from 2.74–3.27 Å. In the second Cd site, Cd is bonded in a 11-coordinate geometry to eleven Cd atoms. There are a spread of Cd–Cd bond distances ranging from 2.80–3.39 Å. In the third Cd site, Cd is bonded to twelve Cd atoms to form distorted face-sharing CdCd12 cuboctahedra. There are a spread of Cd–Cd bond distances ranging from 2.96–3.32 Å. In the fourth Cd site, Cd is bonded to twelve Cd atoms to form distorted face-sharing CdCd12 cuboctahedra. There are a spread of Cd–Cd bond distances ranging from 2.93–3.44 Å. In the fifth Cd site, Cd is bonded in a 11-coordinate geometry to eleven Cd atoms. There are a spread of Cd–Cd bond distances ranging from 3.08–3.33 Å. In the sixth Cd site, Cd is bonded in a 2-coordinate geometry to two equivalent Ni and four Cd atoms. The Cd–Cd bond length is 2.90 Å. In the seventh Cd site, Cd is bonded in a 3-coordinate geometry to three Ni and three Cd atoms. There are one shorter (3.01 Å) and one longer (3.11 Å) Cd–Cd bond lengths. In the eighth Cd site, Cd is bonded in a 3-coordinate geometry to three Ni and eight Cd atoms. There are a spread of Cd–Cd bond distances ranging from 2.86–3.19 Å. In the ninth Cd site, Cd is bonded in a 3-coordinate geometry to three Ni and three Cd atoms. In the tenth Cd site, Cd is bonded in a 2-coordinate geometry to two Ni and three Cd atoms. The Cd–Cd bond length is 2.94 Å. In the eleventh Cd site, Cd is bonded in a 9-coordinate geometry to nine Cd atoms. There are one shorter (3.02 Å) and two longer (3.03 Å) Cd–Cd bond lengths. In the twelfth Cd site, Cd is bonded in a distorted single-bond geometry to one Ni and four Cd atoms. In the thirteenth Cd site, Cd is bonded in a 1-coordinate geometry to one Ni and ten Cd atoms. Both Cd–Cd bond lengths are 3.11 Å. In the fourteenth Cd site, Cd is bonded in a 12-coordinate geometry to two equivalent Ni and three Cd atoms. In the fifteenth Cd site, Cd is bonded in a 3-coordinate geometry to three Ni and three Cd atoms. In the sixteenth Cd site, Cd is bonded in a 3-coordinate geometry to three Ni and two Cd atoms.

  8. F

    Treasury Yield: 12 Month CD <100M

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
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    (2025). Treasury Yield: 12 Month CD <100M [Dataset]. https://fred.stlouisfed.org/series/TY12MCD
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    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Treasury Yield: 12 Month CD <100M (TY12MCD) from Apr 2021 to Jun 2025 about CD, 1-year, Treasury, yield, interest rate, interest, rate, and USA.

  9. Materials Data on Na2Cd11 by Materials Project

    • osti.gov
    Updated May 2, 2020
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    The Materials Project (2020). Materials Data on Na2Cd11 by Materials Project [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1707035-materials-data-na2cd11-materials-project
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    Dataset updated
    May 2, 2020
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Office of Sciencehttp://www.er.doe.gov/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Authors
    The Materials Project
    Description

    Cd11Na2 crystallizes in the cubic Pm-3 space group. The structure is three-dimensional. Na is bonded in a 12-coordinate geometry to twelve Cd atoms. There are a spread of Na–Cd bond distances ranging from 3.36–3.59 Å. There are five inequivalent Cd sites. In the first Cd site, Cd is bonded in a cuboctahedral geometry to twelve equivalent Cd atoms. All Cd–Cd bond lengths are 3.03 Å. In the second Cd site, Cd is bonded in a 12-coordinate geometry to three equivalent Na and nine Cd atoms. There are a spread of Cd–Cd bond distances ranging from 2.90–3.21 Å. In the third Cd site, Cd is bonded in a 10-coordinate geometry to ten Cd atoms. There are a spread of Cd–Cd bond distances ranging from 3.03–3.22 Å. In the fourth Cd site, Cd is bonded in a 2-coordinate geometry to two equivalent Na and five Cd atoms. The Cd–Cd bond length is 3.15 Å. In the fifth Cd site, Cd is bonded in a 9-coordinate geometry to three equivalent Na and six Cd atoms.

  10. Materials Data on Cd(IO3)2 by Materials Project

    • osti.gov
    Updated Jul 22, 2020
    + more versions
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    USDOE Office of Science (SC), Basic Energy Sciences (BES) (2020). Materials Data on Cd(IO3)2 by Materials Project [Dataset]. http://doi.org/10.17188/1201838
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    Dataset updated
    Jul 22, 2020
    Dataset provided by
    Office of Sciencehttp://www.er.doe.gov/
    Department of Energy Basic Energy Sciences Programhttp://science.energy.gov/user-facilities/basic-energy-sciences/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Description

    Cd(IO3)2 crystallizes in the orthorhombic P2_12_12_1 space group. The structure is three-dimensional. Cd2+ is bonded to seven O2- atoms to form distorted corner-sharing CdO7 pentagonal bipyramids. There are a spread of Cd–O bond distances ranging from 2.31–2.53 Å. There are six inequivalent O2- sites. In the first O2- site, O2- is bonded in a 2-coordinate geometry to one Cd2+ and two equivalent I5+ atoms. There are one shorter (1.84 Å) and one longer (2.73 Å) O–I bond lengths. In the second O2- site, O2- is bonded in a 3-coordinate geometry to two equivalent Cd2+ and one I5+ atom. The O–I bond length is 1.85 Å. In the third O2- site, O2- is bonded in a 1-coordinate geometry to one Cd2+ and one I5+ atom. The O–I bond length is 1.86 Å. In the fourth O2- site, O2- is bonded in a 2-coordinate geometry to one Cd2+ and two equivalent I5+ atoms. There are one shorter (1.86 Å) and one longer (2.62 Å) O–I bond lengths. In the fifth O2- site, O2- is bonded in a 2-coordinate geometry to one Cd2+ and one I5+ atom. The O–I bond length is 1.85 Å. In the sixth O2- site, O2- is bonded in a 2-coordinate geometry to one Cd2+ and two I5+ atoms. There are one shorter (1.86 Å) and one longer (2.58 Å) O–I bond lengths. There are two inequivalent I5+ sites. In the first I5+ site, I5+ is bonded in a 6-coordinate geometry to four O2- atoms. In the second I5+ site, I5+ is bonded in a 6-coordinate geometry to five O2- atoms.

  11. C

    Compact Disc Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 26, 2025
    + more versions
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    Data Insights Market (2025). Compact Disc Report [Dataset]. https://www.datainsightsmarket.com/reports/compact-disc-1277856
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 26, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global compact disc (CD) market, while experiencing a decline in recent years due to the rise of digital music streaming and downloads, retains a niche but persistent presence. The market's size in 2025 is estimated at $2 billion, reflecting a steady, albeit slow, growth trajectory. This continued existence is fueled by several factors. Firstly, a dedicated segment of consumers continues to value the tangible nature of CDs, appreciating the physical album art and the inherent collectibility. Secondly, the archival nature of CDs proves crucial for preserving large audio libraries, especially for individuals who possess extensive music collections or value the robust data storage capacity of CDs for non-audio applications, like software distribution in certain sectors. The market is segmented by application (commercial, family) and type (CD-ROM, recordable CD, rewritable CD, Video CD, others), with recordable and rewritable CDs holding significant shares due to their data storage functionality beyond music. Geographic distribution shows a relatively even spread across regions, with North America and Asia-Pacific exhibiting the largest market shares due to their substantial population bases and existing infrastructure for CD production and distribution. However, growth is expected to be more pronounced in developing economies as affordability and awareness increase. The major players in this market—Mitsubishi Kagaku Media, Sony, Ritek, and others—continue to adapt by focusing on niche applications and specialized CD production. While the overall market exhibits a relatively low Compound Annual Growth Rate (CAGR), factors such as the resurgence of physical media among younger generations and the ongoing need for reliable data storage in specific industries could lead to a modest, but sustained market. The restraints on growth mainly stem from the overwhelming dominance of digital music distribution platforms and the reduced manufacturing needs driven by declining demand. However, a continued, albeit modest, demand for CDs in specific niche markets guarantees the continued relevance of this product in the foreseeable future, at least maintaining a stable market value.

  12. d

    Company Financial Data | Credit Quality | Bond Fair Value | 3,300+ Global...

    • datarade.ai
    Updated Nov 29, 2024
    + more versions
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    Lucror Analytics (2024). Company Financial Data | Credit Quality | Bond Fair Value | 3,300+ Global Issuers | 80,000+ Bonds | Portfolio Construction | Risk Management [Dataset]. https://datarade.ai/data-providers/lucror-analytics/data-products/lucror-analytics-corporate-data-credit-quality-bond-fai-lucror-analytics
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    .json, .csv, .xls, .sqlAvailable download formats
    Dataset updated
    Nov 29, 2024
    Dataset authored and provided by
    Lucror Analytics
    Area covered
    Greece, Malta, Bahrain, Zimbabwe, United States Minor Outlying Islands, Oman, Turks and Caicos Islands, Central African Republic, New Zealand, Guatemala
    Description

    Lucror Analytics: Proprietary Company Financial Data for Credit Quality & Bond Valuation

    At Lucror Analytics, we provide cutting-edge corporate data solutions tailored to fixed income professionals and organizations in the financial sector. Our datasets encompass issuer and issue-level credit quality, bond fair value metrics, and proprietary scores designed to offer nuanced, actionable insights into global bond markets that help you stay ahead of the curve. Covering over 3,300 global issuers and over 80,000 bonds, we empower our clients to make data-driven decisions with confidence and precision.

    By leveraging our proprietary C-Score, V-Score , and V-Score I models, which utilize CDS and OAS data, we provide unparalleled granularity in credit analysis and valuation. Whether you are a portfolio manager, credit analyst, or institutional investor, Lucror’s data solutions deliver actionable insights to enhance strategies, identify mispricing opportunities, and assess market trends.

    What Makes Lucror’s Company Financial Data Unique?

    Proprietary Credit and Valuation Models Our proprietary C-Score, V-Score, and V-Score I are designed to provide a deeper understanding of credit quality and bond valuation:

    C-Score: A composite score (0-100) reflecting an issuer's credit quality based on market pricing signals such as CDS spreads. Responsive to near-real-time market changes, the C-Score offers granular differentiation within and across credit rating categories, helping investors identify mispricing opportunities.

    V-Score: Measures the deviation of an issue’s option-adjusted spread (OAS) from the market fair value, indicating whether a bond is overvalued or undervalued relative to the market.

    V-Score I: Similar to the V-Score but benchmarked against industry-specific fair value OAS, offering insights into relative valuation within an industry context.

    Comprehensive Global Coverage Our datasets cover over 3,300 issuers and 80,000 bonds across global markets, ensuring 90%+ overlap with prominent IG and HY benchmark indices. This extensive coverage provides valuable insights into issuers across sectors and geographies, enabling users to analyze issuer and market dynamics comprehensively.

    Data Customization and Flexibility We recognize that different users have unique requirements. Lucror Analytics offers tailored datasets delivered in customizable formats, frequencies, and levels of granularity, ensuring that our data integrates seamlessly into your workflows.

    High-Frequency, High-Quality Data Our C-Score, V-Score, and V-Score I models and metrics are updated daily using end-of-day (EOD) data from S&P. This ensures that users have access to current and accurate information, empowering timely and informed decision-making.

    How Is the Company Financial Data Sourced? Lucror Analytics employs a rigorous methodology to source, structure, transform and process data, ensuring reliability and actionable insights:

    Proprietary Models: Our scores are derived from proprietary quant algorithms based on CDS spreads, OAS, and other issuer and bond data.

    Global Data Partnerships: Our collaborations with S&P and other reputable data providers ensure comprehensive and accurate datasets.

    Data Cleaning and Structuring: Advanced processes ensure data integrity, transforming raw inputs into actionable insights.

    Primary Use Cases

    1. Portfolio Construction & Rebalancing Lucror’s C-Score provides a granular view of issuer credit quality, allowing portfolio managers to evaluate risks and identify mispricing opportunities. With CDS-driven insights and daily updates, clients can incorporate near-real-time issuer/bond movements into their credit assessments.

    2. Portfolio Optimization The V-Score and V-Score I allow portfolio managers to identify undervalued or overvalued bonds, supporting strategies that optimize returns relative to credit risk. By benchmarking valuations against market and industry standards, users can uncover potential mean-reversion opportunities and enhance portfolio performance.

    3. Risk Management With data updated daily, Lucror’s models provide dynamic insights into market risks. Organizations can use this data to monitor shifts in credit quality, assess valuation anomalies, and adjust exposure proactively.

    4. Strategic Decision-Making Our comprehensive datasets enable financial institutions to make informed strategic decisions. Whether it’s assessing the fair value of bonds, analyzing industry-specific credit spreads, or understanding broader market trends, Lucror’s data delivers the depth and accuracy required for success.

    Why Choose Lucror Analytics? Lucror Analytics is committed to providing high-quality, actionable data solutions tailored to the evolving needs of the financial sector. Our unique combination of proprietary models, rigorous sourcing of high-quality data, and customizable delivery ensures that users have the insights they need to make sm...

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

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
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    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
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    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.

  14. f

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

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
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    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
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    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.

  15. C

    CD Publishing Systems Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Mar 28, 2025
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    Market Report Analytics (2025). CD Publishing Systems Report [Dataset]. https://www.marketreportanalytics.com/reports/cd-publishing-systems-39702
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 28, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The CD publishing systems market, while facing headwinds from the digital revolution, maintains a niche but persistent presence, primarily driven by the enduring need for physical media in specific sectors. The market size in 2025 is estimated at $500 million, reflecting a steady, albeit moderate, Compound Annual Growth Rate (CAGR) of 3% over the forecast period (2025-2033). This growth is fueled by continued demand from the audio and video industry for high-quality, tangible product releases, particularly in specialized niche markets like independent music and archival projects. The banking and financial services sector also contributes significantly, relying on CD-based data storage for secure archival and distribution of sensitive information. While the small-size segment currently holds the largest market share, reflecting the widespread use of CD publishing systems in various smaller businesses, the large-size segment is expected to experience comparatively higher growth in the coming years driven by large-scale data archiving and distribution needs within enterprises and government bodies. Geographic distribution shows a relatively balanced spread across North America and Europe, with Asia Pacific exhibiting promising growth potential due to increasing adoption in emerging markets. However, restraints such as the ongoing shift towards digital distribution and the technological advancements in alternative storage solutions pose significant challenges to the long-term growth trajectory. The competitive landscape is characterized by a mix of established players like Rimage and Primera Technology, and smaller, specialized companies catering to niche segments. These companies are likely focusing on strategic partnerships, product innovation (incorporating features like enhanced security and automation), and targeted marketing efforts towards specific industry verticals to maintain market relevance and profitability. The forecast period suggests a gradual market evolution rather than explosive growth, highlighting the importance of sustained operational efficiency and strategic adaptation for industry players to navigate the changing technological landscape and maintain their foothold in this specialized market. Future growth will depend heavily on identifying and capitalizing on the unique advantages of physical media in comparison to purely digital alternatives, especially in applications where data security and physical permanence remain paramount.

  16. Materials Data on CdSO4 by Materials Project

    • osti.gov
    Updated Jul 18, 2018
    + more versions
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    The Materials Project (2018). Materials Data on CdSO4 by Materials Project [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1683768-materials-data-cdso4-materials-project
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    Dataset updated
    Jul 18, 2018
    Dataset provided by
    Office of Sciencehttp://www.er.doe.gov/
    United States Department of Energyhttp://energy.gov/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Authors
    The Materials Project
    Description

    CdSO4 crystallizes in the monoclinic Cm space group. The structure is three-dimensional. there are two inequivalent Cd2+ sites. In the first Cd2+ site, Cd2+ is bonded to six O2- atoms to form CdO6 octahedra that share corners with six SO4 tetrahedra. There are a spread of Cd–O bond distances ranging from 2.20–2.33 Å. In the second Cd2+ site, Cd2+ is bonded in a 1-coordinate geometry to ten O2- atoms. There are a spread of Cd–O bond distances ranging from 2.13–2.89 Å. There are two inequivalent S6+ sites. In the first S6+ site, S6+ is bonded to four O2- atoms to form SO4 tetrahedra that share corners with three equivalent CdO6 octahedra. The corner-sharing octahedra tilt angles range from 3–8°. There are a spread of S–O bond distances ranging from 1.46–1.49 Å. In the second S6+ site, S6+ is bonded to four O2- atoms to form SO4 tetrahedra that share corners with three equivalent CdO6 octahedra. The corner-sharing octahedral tilt angles are 14°. There is one shorter (1.44 Å) and three longer (1.52 Å) S–O bond length. There are six inequivalent O2- sites. In the first O2- site, O2- is bonded in a linear geometry to one Cd2+ and one S6+more » atom. In the second O2- site, O2- is bonded in a single-bond geometry to one S6+ atom. In the third O2- site, O2- is bonded in a 1-coordinate geometry to three Cd2+ and one S6+ atom. In the fourth O2- site, O2- is bonded in a 1-coordinate geometry to three Cd2+ and one S6+ atom. In the fifth O2- site, O2- is bonded in a 3-coordinate geometry to two Cd2+ and one S6+ atom. In the sixth O2- site, O2- is bonded in a 2-coordinate geometry to two Cd2+ and one S6+ atom.« less

  17. Materials Data on Cd5Si2PO12 by Materials Project

    • osti.gov
    Updated Apr 29, 2020
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    The Materials Project (2020). Materials Data on Cd5Si2PO12 by Materials Project [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1732914
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    Dataset updated
    Apr 29, 2020
    Dataset provided by
    Office of Sciencehttp://www.er.doe.gov/
    United States Department of Energyhttp://energy.gov/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Authors
    The Materials Project
    Description

    Cd5Si2PO12 crystallizes in the orthorhombic Pnma space group. The structure is three-dimensional. there are three inequivalent Cd sites. In the first Cd site, Cd is bonded in a 6-coordinate geometry to six O atoms. There are a spread of Cd–O bond distances ranging from 2.24–2.54 Å. In the second Cd site, Cd is bonded to six O atoms to form distorted CdO6 pentagonal pyramids that share corners with three equivalent CdO6 pentagonal pyramids, corners with two equivalent SiO4 tetrahedra, corners with two equivalent PO4 tetrahedra, and an edgeedge with one SiO4 tetrahedra. There are a spread of Cd–O bond distances ranging from 2.24–2.50 Å. In the third Cd site, Cd is bonded in a 5-coordinate geometry to seven O atoms. There are a spread of Cd–O bond distances ranging from 2.30–2.76 Å. Si is bonded to four O atoms to form SiO4 tetrahedra that share corners with two equivalent CdO6 pentagonal pyramids and an edgeedge with one CdO6 pentagonal pyramid. There is one shorter (1.64 Å) and three longer (1.66 Å) Si–O bond length. P is bonded to four O atoms to form PO4 tetrahedra that share corners with four equivalent CdO6 pentagonal pyramids. There is two shorter (1.55 Å)more » and two longer (1.56 Å) P–O bond length. There are seven inequivalent O sites. In the first O site, O is bonded in a distorted single-bond geometry to three Cd and one P atom. In the second O site, O is bonded in a 1-coordinate geometry to two equivalent Cd and one Si atom. In the third O site, O is bonded in a distorted trigonal non-coplanar geometry to two equivalent Cd and one P atom. In the fourth O site, O is bonded to three Cd and one Si atom to form a mixture of distorted edge and corner-sharing OCd3Si tetrahedra. In the fifth O site, O is bonded in a 3-coordinate geometry to two Cd and one P atom. In the sixth O site, O is bonded in a 1-coordinate geometry to three Cd and one Si atom. In the seventh O site, O is bonded in a 4-coordinate geometry to three Cd and one Si atom.« less

  18. Variación del spread de CDS soberanos tras el resultado del Brexit junio...

    • es.statista.com
    Updated Jun 23, 2016
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    Statista (2016). Variación del spread de CDS soberanos tras el resultado del Brexit junio 2016 [Dataset]. https://es.statista.com/estadisticas/572482/variacion-del-spread-de-cds-soberanos-tras-el-resultado-del-brexit/
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    Dataset updated
    Jun 23, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europa
    Description

    Esta estadística muestra el aumento del spread de los swaps de incumplimiento crediticio soberanos en países seleccionados tras los resultados del referéndum del Brexit en junio de 2016. Tras la victoria del Brexit, el spread de los swaps soberanos españoles aumentó en casi ** puntos básicos, de modo que el riesgo de impago de la deuda fue mayor.

  19. C

    CD Shredder Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Apr 22, 2025
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    Pro Market Reports (2025). CD Shredder Report [Dataset]. https://www.promarketreports.com/reports/cd-shredder-121186
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global CD shredder market is experiencing steady growth, driven by increasing data security concerns across various sectors. While precise market size data for 2025 isn't provided, considering the presence of numerous companies and a diverse geographical spread, a reasonable estimation for the 2025 market size could be $150 million. Assuming a conservative Compound Annual Growth Rate (CAGR) of 5% based on general industry trends and the sustained need for data destruction, the market is projected to reach approximately $220 million by 2033. Key market drivers include stringent data privacy regulations (GDPR, CCPA, etc.), the rising volume of sensitive data stored on CDs, and the increasing awareness of data breaches and their consequences. The market is segmented by shredder type (automatic and manual) and application (enterprise, government, and others). Automatic shredders command a larger market share due to their efficiency and higher throughput. Enterprise and government sectors are major consumers, driven by their large-scale data disposal needs and compliance requirements. Market restraints include the relatively low cost of CDs compared to other data storage media, leading to a lower replacement frequency, and the emergence of alternative data destruction methods. However, the growing preference for secure data disposal practices is expected to outweigh these limitations. The competitive landscape includes a mix of established players like DataExpert and Bosch HK, alongside smaller specialized vendors and distributors. Geographic distribution shows strong demand across North America and Europe, with emerging markets in Asia-Pacific exhibiting potential for future growth. The forecast period (2025-2033) promises continued expansion as businesses prioritize data security and regulatory compliance. The increasing adoption of cloud storage does not negate the need for secure physical destruction of obsolete CDs, as data breaches can still occur even within cloud infrastructures. This sustained demand will contribute to the market's projected growth trajectory. This report provides a detailed analysis of the global CD shredder market, projecting significant growth in the coming years. We delve into market concentration, key trends, dominant regions, product insights, and the competitive landscape, providing actionable intelligence for businesses operating in or considering entry into this niche sector. Our research leverages extensive data analysis and incorporates insights from leading industry players like DataExpert, ShreddingMachines, and others, offering a 360-degree view of the market dynamics.

  20. f

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

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
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    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
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    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.

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CEICdata.com (2019). Democratic Republic of Congo CD: Interest Rate Spread [Dataset]. https://www.ceicdata.com/en/democratic-republic-of-congo/interest-rates/cd-interest-rate-spread
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Democratic Republic of Congo CD: Interest Rate Spread

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Dataset updated
Jul 21, 2019
Dataset provided by
CEIC Data
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, 2007 - Dec 1, 2017
Area covered
Democratic Republic of the Congo
Description

Congo, The Democratic Republic of the CD: Interest Rate Spread data was reported at 16.436 % pa in 2017. This records an increase from the previous number of 15.671 % pa for 2016. Congo, The Democratic Republic of the CD: Interest Rate Spread data is updated yearly, averaging 20.727 % pa from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 49.343 % pa in 2009 and a record low of 14.657 % pa in 2013. Congo, The Democratic Republic of the CD: Interest Rate Spread data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank: Interest Rates. Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; Median;

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