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Model ARMA Fourier×Ujian Sempadan ARDL Fourier×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal2004–20062001-2021
PengasasBecker, Enders, and HurnPesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
JenisTime series model with smooth structural changeCointegration / bounds test
Sumber perintisBecker, R., Enders, W., & Hurn, S. (2006). A general test for time dependence in parameters. Journal of Applied Econometrics, 21(7), 1005–1028. link ↗Nazlioglu, S., Gormus, A., & Soytas, U. (2021). Oil prices and monetary policy in emerging markets: structural breaks, asymmetries, and Fourier approximations. Energy Economics, 95, 105119. link ↗
AliasFourier ARMA, ARMA with Fourier terms, trigonometric ARMA, smooth structural change ARMAFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
Berkaitan55
RingkasanThe Fourier ARMA model augments the classical Autoregressive Moving Average framework with low-frequency Fourier (sine and cosine) terms to capture smooth, gradual shifts in the mean or trend of a time series. Unlike dummy-variable approaches, it requires no prior knowledge of when structural change occurred, approximating change with flexible trigonometric functions.The Fourier ARDL bounds test augments the Pesaran-Shin-Smith cointegration framework with trigonometric (Fourier) terms that capture gradual, smooth structural breaks in the data-generating process. It tests for a long-run level relationship between variables without requiring the researcher to specify the number, timing, or form of structural breaks in advance.
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ScholarGateBandingkan kaedah: Fourier ARMA model · Fourier ARDL Bounds Test. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare