A SETAR model with long-memory dynamics
This paper presents a 2-regime SETAR model where the process under examination is governed by a long-memory process in the first regime and a short-memory process in the second regime. Persistence properties are studied and methods for locating the threshold parameter are proposed. Such a process presents a useful application to financial data and is applied to stock indices and individual assets.
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