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Panel DCC-GARCH/Evidence
Method evidence record

Panel DCC-GARCH

The Panel DCC-GARCH model extends Engle's (2002) Dynamic Conditional Correlation GARCH framework to panel data settings, jointly modelling time-varying volatility and cross-sectional correlations across multiple units (countries, firms, or assets) over time. It allows pairwise correlations to vary dynamically in response to market shocks while preserving parsimony via a two-step estimation.

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Source record

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

Panel 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 heteroscedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. · DOI 10.1198/073500102288618487
  • Engle, R. F., & Sheppard, K. (2001). Theoretical and empirical properties of dynamic conditional correlation multivariate GARCH. NBER Working Paper 8554. National Bureau of Economic Research. · URL
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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 bucketPanel EGARCHmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel GARCH modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel TGARCHmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketVector Autoregressionmachine-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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