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20202025
most citedTesting for threshold effects in the TARMA framework

13 citations · 17 across the 7 of their papers we have counts for

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5 papers · 1 filter

stat.ME2025★ 1 cited

Inference in matrix-valued time series with common stochastic trends and multifactor error structure

Rong Chen, Simone Giannerini, Greta Goracci +1

We develop an estimation methodology for a factor model for high-dimensional matrix-valued time series, where common stochastic trends and common stationary factors can be present.…

stat.ME2022

Robust estimation for Threshold Autoregressive Moving-Average models

Greta Goracci, Davide Ferrari, Simone Giannerini +1

Threshold autoregressive moving-average (TARMA) models are popular in time series analysis due to their ability to parsimoniously describe several complex dynamical features. Howev…

stat.ME2021★ 1 cited

The validity of bootstrap testing in the threshold framework

Simone Giannerini, Greta Goracci, Anders Rahbek

We consider bootstrap-based testing for threshold effects in non-linear threshold autoregressive (TAR) models. It is well-known that classic tests based on asymptotic theory tend t…

stat.ME2021★ 13 cited

Testing for threshold effects in the TARMA framework

Greta Goracci, Simone Giannerini, Kung-Sik Chan +1

We present supremum Lagrange Multiplier tests to compare a linear ARMA specification against its threshold ARMA extension. We derive the asymptotic distribution of the test statist…

stat.ME2020

Testing for threshold regulation in presence of measurement error with an application to the PPP hypothesis

Kung-Sik Chan, Simone Giannerini, Greta Goracci +1

Regulation is an important feature characterising many dynamical phenomena and can be tested within the threshold autoregressive setting, with the null hypothesis being a global no…