• 제목/요약/키워드: conditional stationarity

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STRICT STATIONARITY AND FUNCTIONAL CENTRAL LIMIT THEOREM FOR ARCH/GRACH MODELS

  • Lee, Oe-Sook;Kim, Ji-Hyun
    • 대한수학회보
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    • 제38권3호
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    • pp.495-504
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    • 2001
  • In this paper we consider the (generalized) autoregressive model with conditional heteroscedasticity (ARCH/GARCH models). We willing give conditions under which strict stationarity, ergodicity and the functional central limit theorem hold for the corresponding models.

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STATIONARITY AND β-MIXING PROPERTY OF A MIXTURE AR-ARCH MODELS

  • Lee, Oe-Sook
    • 대한수학회보
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    • 제43권4호
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    • pp.813-820
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    • 2006
  • We consider a MAR model with ARCH type conditional heteroscedasticity. MAR-ARCH model can be derived as a smoothed version of the double threshold AR-ARCH model by adding a random error to the threshold parameters. Easy to check sufficient conditions for strict stationarity, ${\beta}-mixing$ property and existence of moments of the model are given via Markovian representation technique.

SOME RESULTS ON CONDITIONALLY UNIFORMLY STRONG MIXING SEQUENCES OF RANDOM VARIABLES

  • Yuan, De-Mei;Hu, Xue-Mei;Tao, Bao
    • 대한수학회지
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    • 제51권3호
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    • pp.609-633
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    • 2014
  • From the ordinary notion of uniformly strong mixing for a sequence of random variables, a new concept called conditionally uniformly strong mixing is proposed and the relation between uniformly strong mixing and conditionally uniformly strong mixing is answered by examples, that is, uniformly strong mixing neither implies nor is implied by conditionally uniformly strong mixing. A couple of equivalent definitions and some of basic properties of conditionally uniformly strong mixing random variables are derived, and several conditional covariance inequalities are obtained. By means of these properties and conditional covariance inequalities, a conditional central limit theorem stated in terms of conditional characteristic functions is established, which is a conditional version of the earlier result under the non-conditional case.

CENTRAL LIMIT THEOREMS FOR CONDITIONALLY STRONG MIXING AND CONDITIONALLY STRICTLY STATIONARY SEQUENCES OF RANDOM VARIABLES

  • De-Mei Yuan;Xiao-Lin Zeng
    • 대한수학회지
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    • 제61권4호
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    • pp.713-742
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    • 2024
  • From the ordinary notion of upper-tail quantitle function, a new concept called conditionally upper-tail quantitle function given a σ-algebra is proposed. Some basic properties of this terminology and further properties of conditionally strictly stationary sequences are derived. By means of these properties, several conditional central limit theorems for a sequence of conditionally strong mixing and conditionally strictly stationary random variables are established, some of which are the conditional versions corresponding to earlier results under non-conditional case.

BINARY RANDOM POWER APPROACH TO MODELING ASYMMETRIC CONDITIONAL HETEROSCEDASTICITY

  • KIM S.;HWANG S.Y.
    • Journal of the Korean Statistical Society
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    • 제34권1호
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    • pp.61-71
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    • 2005
  • A class of asymmetric ARCH processes is proposed via binary random power transformations. This class accommodates traditional nonlinear models such as threshold ARCH (Rabemanjara and Zacoian (1993)) and Box-Cox type ARCH models(Higgins and Bera (1992)). Stationarity condition of the model is addressed. Iterative least squares(ILS) and pseudo maximum like-lihood(PML) methods are discussed for estimating parameters and related algorithms are presented. Illustrative analysis for Korea Stock Prices Index (KOSPI) data is conducted.

Characteristics, mathematical modeling and conditional simulation of cross-wind layer forces on square section high-rise buildings

  • Ailin, Zhang;Shi, Zhang;Xiaoda, Xu;Yi, Hui;Giuseppe, Piccardo
    • Wind and Structures
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    • 제35권6호
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    • pp.369-383
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    • 2022
  • Wind tunnel experiment was carried out to study the cross-wind layer forces on a square cross-section building model using a synchronous multi-pressure sensing system. The stationarity of measured wind loadings are firstly examined, revealing the non-stationary feature of cross-wind forces. By converting the measured non-stationary wind forces into an energetically equivalent stationary process, the characteristics of local wind forces are studied, such as power spectrum density and spanwise coherence function. Mathematical models to describe properties of cross-wind forces at different layers are thus established. Then, a conditional simulation method, which is able to ex-tend pressure measurements starting from experimentally measured points, is proposed for the cross-wind loading. The method can reproduce the non-stationary cross-wind force by simulating a stationary process and the corresponding time varying amplitudes independently; in this way the non-stationary wind forces can finally be obtained by combining the two parts together. The feasibility and reliability of the proposed method is highlighted by an ex-ample of across wind loading simulation, based on the experimental results analyzed in the first part of the paper.