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Fourier ARCH Model/Ushahidi
Rekodi ya ushahidi wa mbinu

Fourier ARCH Model

The Fourier ARCH model extends the classical ARCH framework by incorporating trigonometric (Fourier) terms into the conditional variance equation. This allows the model to capture smooth, gradual shifts in volatility dynamics over time without assuming abrupt structural breaks, making it well-suited for long financial or macroeconomic time series subject to slowly evolving regime changes.

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Fourier Autoregressive Conditional Heteroscedasticity Model
Rekodi ya mbinu ya kiajenda · 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
  • Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. · DOI 10.1111/j.1468-0084.2011.00662.x
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Taxonomic bucketARCH modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFourier GARCH Modelmachine-suggested · Relational suggestion, not evidence.Same method familyGARCH Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketNonlinear ARCH modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStructural Break ARCH Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTime-varying parameter ARCH modelmachine-suggested · Relational suggestion, not evidence.

Hali ya ushahidi

Sources recorded, not reviewed

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

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