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Structural break DCC-GARCH/Evidence
Method evidence record

Structural break DCC-GARCH

Structural break DCC-GARCH extends Engle's Dynamic Conditional Correlation GARCH framework by explicitly allowing the correlation and volatility structure to shift at one or more structural break points in the sample. It models time-varying co-volatility between multiple financial series while accounting for sudden regime changes caused by crises, policy shifts, or market microstructure changes.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Structural Break Dynamic Conditional Correlation GARCH Model
Taxonomic method record · regression-model / econometrics
  • Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. · DOI 10.1198/073500102288618487
  • Pelletier, D. (2006). Regime switching for dynamic correlations. Journal of Econometrics, 131(1-2), 445-473. · DOI 10.1016/j.jeconom.2005.01.013
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketDCC-GARCH modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStructural Break EGARCHmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStructural Break TGARCHmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketVector Autoregressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketZivot-Andrews Structural Break Testmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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