Regression modelEconometrics / time series

Nelinearni test kauzalnosti Toda-Yamamoto

Nelinearni test kauzalnosti Toda-Yamamoto proširuje klasičnu modifikovanu Vald proceduru Toda-Yamamoto (1995) radi otkrivanja kauzalnih veza koje su skrivene u srednjim vrednostima serija, ali se manifestuju kroz nelinearne dinamike kao što su asimetrije, pragovi efekti ili prenos volatilnosti. On uklapa prošireni VAR na serijama transformisanim rangom ili na drugi nelinearan način mapiranim serijama i primenjuje Vald test hi-kvadrat na koeficijente dodatnih zaostajanja.

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Izvori

  1. Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. DOI: 10.1016/0304-4076(94)01616-8
  2. Sims, C. A., Stock, J. H., & Watson, M. W. (1990). Inference in linear time series models with some unit roots. Econometrica, 58(1), 113-144. DOI: 10.2307/2938337

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Nonlinear Toda-Yamamoto Granger Causality Test. ScholarGate. https://scholargate.app/sr/econometrics/nonlinear-toda-yamamoto-causality

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ScholarGateNonlinear Toda-Yamamoto Causality (Nonlinear Toda-Yamamoto Granger Causality Test). Preuzeto 2026-06-15 sa https://scholargate.app/sr/econometrics/nonlinear-toda-yamamoto-causality · Skup podataka: https://doi.org/10.5281/zenodo.20539026