Methodology

How BondStats sources, transforms and interprets financial data.

Methodological Principles

BondStats is designed to make financial data easier to examine without obscuring where that data came from or how BondStats has transformed it. We prefer primary and official sources where practical, distinguish source observations from BondStats calculations, and avoid presenting unavailable observations as measured values.

Source Data

BondStats uses publicly available financial and economic data from central banks, finance ministries, statistical agencies, international institutions and other recognized data providers. The exact source depends on the market, series and product. Source institutions retain their respective rights, and use of their data remains subject to their applicable terms, licences and disclaimers.

Data Processing and Normalization

Financial datasets are published with different frequencies, units, date conventions, maturities and reporting structures. Where necessary for consistent presentation or comparison, BondStats may normalize dates, labels, units, frequencies or other structural fields. Such processing does not make the underlying source observation a BondStats-owned observation.

Raw and Derived Data

BondStats distinguishes between source data and derived outputs. Source data refers to observations obtained from an identified external or official source. Derived data may include changes, spreads, ratios, normalized measures, classifications, composite indicators, historical comparisons and other calculations produced by BondStats from one or more inputs.

BondStats Analytical Models

Some BondStats products use proprietary analytical frameworks to organize or interpret financial information. These outputs may include scores, states, regimes, signals, event classifications, similarity measures and other model-derived results. They are BondStats analytical outputs and should not be interpreted as official indicators, views or conclusions of the institutions that supplied the underlying data.

BondStats may disclose the principal inputs, definitions and interpretation framework of a model while keeping proprietary weighting, normalization, scoring, matching or other implementation logic confidential. Methodological transparency does not require publication of proprietary source code or trade-secret logic.

Historical Data and Point-in-Time Limitations

Historical datasets can contain revisions, backfills, methodology changes and differences in availability across countries and periods. A value visible today may therefore differ from a value originally published at an earlier date. Unless a product is explicitly identified as point-in-time or vintage-preserved, users should not assume that a historical series reproduces exactly what was available to market participants on that historical date.

Data Revisions and Corrections

When a primary source revises or corrects an observation, BondStats may incorporate the revised value in subsequent updates and recalculate dependent outputs where appropriate. If BondStats identifies a material processing or presentation error in its own output, the affected value, calculation or presentation may be corrected. Significant methodology changes may also alter historical derived results.

Update Frequency and Freshness

Update frequency depends on the publication schedule and availability of each underlying source. Daily, weekly, monthly, quarterly and event-driven datasets may therefore coexist across BondStats. Where a product displays a last-updated timestamp, observation date or source frequency, that product-level information should be used to assess freshness.

Model Limitations

Scores, regimes, signals and classifications simplify complex financial conditions. They are analytical interpretations of specified inputs rather than statements of certainty. Results can change as new observations arrive, source data is revised, model inputs evolve or market relationships change. No single BondStats indicator should be treated as a complete description of financial conditions or future outcomes.

Data Rights and Attribution

BondStats-created calculations, classifications, methodology, written analysis and visual presentation are distinct from the rights attached to third-party source observations. Attribution to a source institution identifies provenance and does not imply sponsorship, endorsement or approval of BondStats or its analytical conclusions. Additional information is provided in the BondStats Data Rights, Attribution & Licensing Notice and on relevant product pages.

Verification and Use

BondStats is a research and information platform. Users should verify material observations with the identified primary source when accuracy is critical and should consider the methodology and limitations of a dataset or model before relying on it. BondStats does not provide financial, investment, legal or tax advice.

Transparency

Methodology should be read together with the BondStats Data Sources, Data Rights, Attribution & Licensing Notice, Disclaimer and product-specific source notes. These materials are intended to make the provenance, transformation and limitations of BondStats data and analysis easier to evaluate.