• 제목/요약/키워드: stationary process

검색결과 456건 처리시간 0.029초

Stationary bootstrap test for jumps in high-frequency financial asset data

  • Hwang, Eunju;Shin, Dong Wan
    • Communications for Statistical Applications and Methods
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    • 제23권2호
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    • pp.163-177
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    • 2016
  • We consider a jump diffusion process for high-frequency financial asset data. We apply the stationary bootstrapping to construct a bootstrap test for jumps. First-order asymptotic validity is established for the stationary bootstrapping of the jump ratio test under the null hypothesis of no jump. Consistency of the stationary bootstrap test is proved under the alternative of jumps. A Monte-Carlo experiment shows the advantage of a stationary bootstrapping test over the test based on the normal asymptotic theory. The proposed bootstrap test is applied to construct continuous-jump decomposition of the daily realized variance of the KOSPI for the year 2008 of the world-wide financial crisis.

Block Bootstrapped Empirical Process for Dependent Sequences

  • Kim, Tae-Yoon
    • Journal of the Korean Statistical Society
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    • 제28권2호
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    • pp.253-264
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    • 1999
  • Conditinal weakly convergence of the blockwise bootstrapped empirical process for stationary sequences to the appropriate Gaussian process is reestablished particularly for severely dependent $\alpha$-mixing sequences. Issue of block size is discussed from the point of validity of bootstrap method.

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Adaptive lasso를 이용하여 추세-정상시계열과 차분-정상시계열을 판별하는 방법에 대한 연구 (Discrimination between trend and difference stationary processes based on adaptive lasso)

  • 나옥경
    • 응용통계연구
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    • 제33권6호
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    • pp.723-738
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    • 2020
  • 본 논문에서는 추세-정상시계열과 차분-정상시계열을 판별하는 방법에 대해 연구한다. 두 시계열 모형은 시계열적 특징, 충격의 지속성 여부, 시계열을 정상화시키는 방법 등이 모두 다르므로, 어떤 모형을 선택하냐에 따라 분석 방법이나 해석에 차이가 발생한다. 따라서 시계열 자료를 분석할 때 추세-정상성과 차분-정상성을 판별하는 것은 매우 중요한 일이다. 두 시계열을 구분하는 중요한 기준은 단위근의 존재 여부이므로, 단위근 검정 결과를 활용할 수 있다. 최근 연구 결과들을 살펴보면, 다양한 시계열 모형을 적합시킬 때 뿐만 아니라 비정상 자기회귀모형의 차분 차수를 결정할 때도 adaptive lasso와 같은 벌점화 추정방법을 도입, 사용하고 있다. 본 논문에서도 adaptive lasso를 이용하여 추세-정상시계열과 차분-정상시계열을 판별하는 방법을 제안, 연구를 진행하였다. 단위근 검정을 이용한 분류 방법과 adaptive lasso 추정량을 기초로 한 분류 방법에 대한 비교 모의실험을 수행하였고, 그 결과 추세-정상시계열이 참인 경우는 adaptive lasso 방법의 분류 정확도가 단위근 검정방법보다 좀 더 우세하며, 차분-정상시계열의 경우에는 반대로 정확도가 떨어지는 것을 확인할 수 있었다.

STATIONARY SOLUTIONS FOR ITERATED FUNCTION SYSTEMS CONTROLLED BY STATIONARY PROCESSES

  • Lee, O.;Shin, D.W.
    • 대한수학회지
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    • 제36권4호
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    • pp.737-746
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    • 1999
  • We consider a class of discrete parameter processes on a locally compact Banach space S arising from successive compositions of strictly stationary random maps with state space C(S,S), where C(S,S) is the collection of continuous functions on S into itself. Sufficient conditions for stationary solutions are found. Existence of pth moments and convergence of empirical distributions for trajectories are proved.

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A CENTRAL LIMIT THEOREM FOR THE STATIONARY MULTIVARIATE LINEAR PROCESS GENERATED BY ASSOCIATED RANDOM VICTORS

  • Kim, Tae-Sung;Ko, Mi-Hwa;Chung, Sung-Mo
    • 대한수학회논문집
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    • 제17권1호
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    • pp.95-102
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    • 2002
  • A central limit theorem is obtained for a stationary multivariate linear process of the form (equation omitted), where { $Z_{t}$} is a sequence of strictly stationary m-dimensional associated random vectors with E $Z_{t}$ = O and E∥ $Z_{t}$$^2$ < $\infty$ and { $A_{u}$} is a sequence of coefficient matrices with (equation omitted) and (equation omitted).ted)..ted).).

M/PH/1 QUEUE WITH DETERMINISTIC IMPATIENCE TIME

  • Kim, Jerim;Kim, Jeongsim
    • 대한수학회논문집
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    • 제28권2호
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    • pp.383-396
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    • 2013
  • We consider an M/PH/1 queue with deterministic impatience time. An exact analytical expression for the stationary distribution of the workload is derived. By modifying the workload process and using Markovian structure of the phase-type distribution for service times, we are able to construct a new Markov process. The stationary distribution of the new Markov process allows us to find the stationary distribution of the workload. By using the stationary distribution of the workload, we obtain performance measures such as the loss probability, the waiting time distribution and the queue size distribution.

설계응답스펙트럼을 고려한 인공지진파의 발생에 관한 연구 (Generation of Artificial Earthquake Ground Motions considering Design Response Spectrum)

  • 정재경;한상환;이리형
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1999년도 봄 학술발표회 논문집
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    • pp.145-150
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    • 1999
  • In the nonlinear dynamic structural analysis, the given ground excitation as an input should be well defined. Because of the lack of recorded accelerograms in Korea, it is required to generate an artificial earthquake by a stochastic model of ground excitation with various dynamic properties rather than recorded accelerograms. It is well known that earthquake motions are generally non-stationary with time-varying intensity and frequency content. Many researchers have proposed non-stationary random process models. Yeh and Wen (1990) proposed a non-stationary stochastic process model which can be modeled as components with an intensity function, a frequency modulation function and a power spectral density function to describe such non-stationary characteristics. This paper shows the process to generate nonstationary artificial earthquake ground motions considering target design response spectrum chosen by ATC14.

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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.

Parameter Estimation in a Complex Non-Stationary and Nonlinear Diffusion Process

  • So, Beong-Soo
    • Journal of the Korean Statistical Society
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    • 제29권4호
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    • pp.489-499
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    • 2000
  • We propose a new instrumental variable estimator of the complex parameter of a class of univariate complex-valued diffusion processes defined by the possibly non-stationary and/or nonlinear stochastic differential equations. On the basis of the exact finite sample distribution of the pivotal quantity, we construct the exact confidence intervals and the exact tests for the parameter. Monte-Carlo simulation suggests that the new estimator seems to provide a viable alternative to the maximum likelihood estimator (MLE) for nonlinear and/or non-stationary processes.

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