Asymptotics of bivariate local Whittle estimators with applications to fractal connectivity

被引:4
作者
Baek, Changryong [1 ]
Kechagias, Stefanos [2 ]
Pipiras, Vladas [3 ]
机构
[1] Sungkyunkwan Univ, Dept Stat, 25-2 Sungkyunkwan Ro, Seoul 110745, South Korea
[2] SAS Inst, 100 SAS Campus Dr, Cary, NC 27513 USA
[3] Univ N Carolina, Dept Stat & Operat Res, CB 3260,Hanes Hall, Chapel Hill, NC 27599 USA
基金
美国国家科学基金会; 新加坡国家研究基金会;
关键词
Long memory; Multivariate time series; Phase parameters; Local Whittle estimation; Fractional cointegration; Fractal connectivity; ARFIMA MODELS; INFLATION;
D O I
10.1016/j.jspi.2019.07.007
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Several methodological and numerical issues behind the local Whittle estimation of long and short memory in bivariate stationary time series with possible fractional cointegration are reexamined. These issues include the asymptotic normality for all model parameters, local Whittle plots for phase parameter and fractal connectivity, and others. For fractal connectivity, in particular, it is advocated to work with a model parametrization for which the model parameters associated with this phenomenon are identifiable and could be tested naturally within the local Whittle estimation framework. A simulation study and data applications are also considered. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:245 / 268
页数:24
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