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Robust EGARCH/Evidence
Method evidence record

Robust EGARCH

Robust EGARCH extends Nelson's (1991) Exponential GARCH model by replacing standard quasi-maximum likelihood estimation with outlier-resistant procedures — typically bounded-influence or M-estimation — so that a small fraction of extreme observations or data errors cannot distort the estimated volatility dynamics or the leverage effect.

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Source record

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

Robust Exponential Generalized Autoregressive Conditional Heteroscedasticity Model
Taxonomic method record · regression-model / econometrics
  • Muler, N., & Yohai, V. J. (2008). Robust estimates for GARCH models. Journal of Statistical Planning and Inference, 138(10), 2918–2940. · DOI 10.1016/j.jspi.2007.11.003
  • Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. · DOI 10.2307/2938260
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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 bucketEGARCH modelmachine-suggested · Relational suggestion, not evidence.Same method familyGARCH Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust GARCH modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust TGARCHmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTGARCH modelmachine-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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