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Bond Default Statistics provides structured and insight into bond default events in the Norwegian market.

The service identifies and tracks defaults related to both interest (coupon) payments and redemptions, offering market participants transparency into credit events and distressed instruments.

Each default event is represented through newly created ISINs:

  • One new ISIN for each defaulted coupon (interest payment)
  • One new ISIN for each defaulted redemption
  • If both interest and redemption default occur, two separate ISINs are created

This methodology ensures precise identification, consistent tracking, and accurate historical analysis of defaulted obligations.

Bond Default Statistics is suitable for both internal analysis and client-facing distribution, supporting risk management, trading decisions, research, and regulatory monitoring.

Key features

  • Coverage of bond defaults in the Norwegian market
  • Separation of interest and redemption default events
  • New ISIN creation for each default event
  • Clear identification of multiple defaults per bond
  • Available for distribution and non-distribution use
  • Structured data format for automated processing
  • SFTP delivery

Product benefits

  • Transparent default tracking
    Identify and monitor default events at coupon and redemption level.
  • Precise instrument identification
    Use ISIN-based representation for consistent reference and analysis.
  • Enhanced credit risk analysis
    Support portfolio monitoring and credit assessment with reliable default data.
  • Trading and pricing support
    Improve valuation models and distressed debt strategies.
  • Research-grade data quality
    Enable long-term studies of default frequency and market behavior.
  • Flexible usage rights
    Available for internal use or client redistribution.

Frequency and delivery

  • Subscription model: Monthly
  • Delivery frequency options: Daily, weekly, or monthly
  • Delivery method: SFTP

Use cases

Trading and market analysis

  • Distressed debt identification
  • Credit spread modeling
  • Risk-adjusted pricing

Risk management and compliance

  • Portfolio default monitoring
  • Exposure reporting
  • Regulatory and internal risk assessments

Back-office and operations

  • Instrument lifecycle tracking
  • Reference data updates
  • Corporate action reconciliation

Investment research and strategy development

  • Credit strategy design
  • Default probability modeling
  • Market stress analysis

Academic and quantitative research

  • Default trend studies
  • Market structure research

Target users of Bond Default Statistics

Quantitative researchers

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Algorithmic and systematic traders

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Investment bankers

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Data providers and fintech companies

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Wealth managers and asset managers

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Corporates and issuers

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Instrument creators and structurers

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Financial publishers and media outlets

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Documentation & links

Contacts

Christian A. Viken - Euronext Securities

Christian A. Viken

Head of Data & Analytics, Euronext Securities

caviken@euronext.com