Rescaled variance and related tests for long memory in volatility and levels

被引:192
作者
Giraitis, L
Kokoszka, P
Leipus, R
Teyssière, G
机构
[1] Vilnius State Univ, Dept Math & Informat, Canberra, ACT 2600, Australia
[2] Univ London London Sch Econ & Polit Sci, Dept Econ, London WC2A 2AE, England
[3] Utah State Univ, Dept Math & Stat, Logan, UT 84322 USA
[4] Inst Math & Informat, Canberra, ACT 2600, Australia
[5] GREQAM & CORE, Ctr Vieille, Charite, F-13002 Marseille, France
关键词
long memory; modified R/S statistic; KPSS statistic; V/S statistic; linear process; LARCH model; TIME-SERIES; UNIT-ROOT; CONDITIONAL HETEROSKEDASTICITY; RANGE; STATIONARITY; POWER; HYPOTHESIS; DEPENDENCE; MODEL; R/S;
D O I
10.1016/S0304-4076(02)00197-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper studies properties of tests for long memory for general fourth order stationary sequences. We propose a resealed variance test based on V/S statistic which is shown to have a simpler asymptotic distribution and to achieve a somewhat better balance of size and power than Lo's (Econometrica 59 (1991) 1279) modified R/S test and the KPSS test of Kwiatkowski et al. (J. Econometrics 54 (1992) 159). We investigate theoretical performance of R/S, KPSS and V/S tests under short memory hypotheses and long memory alternatives, providing a Monte Carlo study and a brief empirical example. Assumptions of the same type are used in both short and long memory cases, covering all persistent dependence scenarios. We show that the results naturally apply and the assumptions are well adjusted to linear sequences (levels) and to squares of linear ARCH sequences (volatility). (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:265 / 294
页数:30
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