Qontigo Launches Comprehensive Library of Fixed Income Corporate Spread and Yield Curve Data

Qontigo Launches Comprehensive Library of Fixed Income Corporate Spread and Yield Curve Data

Qontigo, an investment intelligence leader and provider of best-of-breed analytics and world-class indices, has announced the availability of Axioma Fixed Income Spread CurvesTM providing sub-sovereign, corporate (investment grade and high yield), and emerging market spread and yield term structures in a standalone, flat file format. The data, derived from a proprietary methodology for fitting full term structure issuer spread level and return curves, are intended for firmwide use across trading, research, valuation, counterparty credit and treasury teams – in addition to portfolio and market risk managers.

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“Axioma Fixed Income Spread Curves address a longstanding challenge users of fixed income data have encountered – that of obtaining a signal from noise to build meaningful curves,” explained Ping Jiang, Head of Multi-Asset Solutions, Americas. “In response, we developed a number of measures to ensure a clearer signal – for example, a Level Reverting Noise Reduction (LRNR) algorithm which smooths the time series history of curves.”

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Additional key advantages of the curve construction methodology include:

  • Axioma Risk Entity framework: Legal entities within the corporate hierarchy are grouped together to define issuers with different credit risk and return profiles.
  • Peer influence: The shape of issuer spread term structures and rating-sector surfaces are informed by comparable issuers.
  • Automatic outlier detection: Significant deviations are automatically assigned reduced weights.

“We already power our suite of fixed income and multi-asset class risk models with this data,” said Ian Lumb, Head of Multi-Asset Solutions, EMEA & APAC. “However, by making these spread curves available as separate content, asset managers, asset owners, banks and hedge funds can easily ingest and use this data for a wide number of applications including internal model calibration, alpha signal generation, spread-implied rating outliers, in-house limit and counterparty risk modeling and approximate valuation of illiquid assets.”

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