Nonlinear and Nonstationary Time Series

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Authors: G. S. Dissanayake, Hassan Doosti
Cited by: 0

Abstract

This chapter addresses hypothesis testing for long memory Gegenbauer processes, developing unit root tests based on state space quasi-maximum likelihood estimation. Building on the Jansson and Nielsen (2012) framework, two types of tests are constructed: tests for the Gegenbauer frequency parameter u to distinguish between standard long memory (u=1) and generalized GARMA processes (u

Fields of Study & Subjects

Statistical and numerical algorithms Financial Risk and Volatility Modeling Time Series Analysis and Forecasting

Publication details

Pages
91–105
Publication date
8 January 2026
Language
EN
Document type
Book chapter