
doi: 10.2139/ssrn.2400837
Our aim in this article is to introduce an additional approach that extends the conventional model identification method to decompose time series into the stationary and random walk components. It has been shown that the additional approach of decomposition has reliable small sample properties, especially for high-frequency data.
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