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ARCH model/Evidence
Method evidence record

ARCH model

The ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering.

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Source record

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

Autoregressive Conditional Heteroskedasticity Model
Taxonomic method record · regression-model / econometrics
  • Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. · DOI 10.2307/1912773
  • Engle, R. F. (2001). GARCH 101: The use of ARCH/GARCH models in applied econometrics. Journal of Economic Perspectives, 15(4), 157–168. · DOI 10.1257/jep.15.4.157
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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 bucketARIMA modelmachine-suggested · Relational suggestion, not evidence.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 bucketTGARCH modelmachine-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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