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      변동성 변화와 장기억성을 구분하는 CUSUM 검정통계량에 대한 실증분석 = A Numerical Study on CUSUM Test for Volatility Shifts Against Long-Range Dependence

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      https://www.riss.kr/link?id=A105171871

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      다국어 초록 (Multilingual Abstract)

      Persistence is one of the typical characteristics appearing in the volatility of financial time series. According to the recent researches, the volatility persistence may be due to either volatility shifts or long-range dependence. In this paper, we consider residual-based CUSUM tests to distinguish volatility persistence, long-range dependence and volatility shifts in GARCH models. It is observed that this test procedure achieve reasonable powers without a size distortion. Moreover, we employ AIC and BIC criteria to estimate the change points and the number of change points in volatility. We demonstrate the superiority of residual-based CUSUM tests on various Monte Carlo simulations and empirical data analysis.
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      Persistence is one of the typical characteristics appearing in the volatility of financial time series. According to the recent researches, the volatility persistence may be due to either volatility shifts or long-range dependence. In this paper, we c...

      Persistence is one of the typical characteristics appearing in the volatility of financial time series. According to the recent researches, the volatility persistence may be due to either volatility shifts or long-range dependence. In this paper, we consider residual-based CUSUM tests to distinguish volatility persistence, long-range dependence and volatility shifts in GARCH models. It is observed that this test procedure achieve reasonable powers without a size distortion. Moreover, we employ AIC and BIC criteria to estimate the change points and the number of change points in volatility. We demonstrate the superiority of residual-based CUSUM tests on various Monte Carlo simulations and empirical data analysis.

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      참고문헌 (Reference)

      1 Klemeš, V., "The Hurst phenomenon: a puzzle?" 10 : 675-688, 1974

      2 Lee, T., "Tests for volatility shifts in GARCH models against long-range dependence"

      3 Pooter, M. D., "Testing for changes in volatility in heteroskedastic time series-a further examination" Erasmus University Rotterdam, Econometric Institute 2004

      4 Baek, C., "Statistical tests for a single change in mean against long-range dependence" 33 : 131-151, 2012

      5 Berkes, I., "On discriminating between long-range dependence and changes in mean" 34 : 1140-1165, 2006

      6 Mikosch, T., "Nonstationarities in financial time series, the long-range dependence, and the IGARCH effects" 86 : 378-390, 2004

      7 Hillebrand, E., "Neglecting parameter changes in GARCH models" 129 : 121-138, 2005

      8 Engle, R. F., "Modelling the persistence of conditional variances" 5 : 1-50, 1986

      9 Francq, C., "Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes" 10 : 605-637, 2004

      10 Diebold, F. X., "Long memory and regime switching" 105 : 131-159, 2001

      1 Klemeš, V., "The Hurst phenomenon: a puzzle?" 10 : 675-688, 1974

      2 Lee, T., "Tests for volatility shifts in GARCH models against long-range dependence"

      3 Pooter, M. D., "Testing for changes in volatility in heteroskedastic time series-a further examination" Erasmus University Rotterdam, Econometric Institute 2004

      4 Baek, C., "Statistical tests for a single change in mean against long-range dependence" 33 : 131-151, 2012

      5 Berkes, I., "On discriminating between long-range dependence and changes in mean" 34 : 1140-1165, 2006

      6 Mikosch, T., "Nonstationarities in financial time series, the long-range dependence, and the IGARCH effects" 86 : 378-390, 2004

      7 Hillebrand, E., "Neglecting parameter changes in GARCH models" 129 : 121-138, 2005

      8 Engle, R. F., "Modelling the persistence of conditional variances" 5 : 1-50, 1986

      9 Francq, C., "Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes" 10 : 605-637, 2004

      10 Diebold, F. X., "Long memory and regime switching" 105 : 131-159, 2001

      11 Kulperger, R., "High moment partial sum processes of residuals in GARCH models and their applications" 33 : 2395-2422, 2005

      12 Andrews, D., "Heteroscedasticity and Autocorrelation Consistent Covariance Matrix Estimation" 59 : 817-858, 1991

      13 Bollerslev, T., "Generalized autoregressive conditional heteroskedasticity" 31 : 307-327, 1986

      14 Berkes, I., "GARCH processes: structure and estimation" 9 : 201-227, 2003

      15 Baillie, R. T., "Fractionally integrated generalized autoregressive conditional heteroskedasticity" 74 : 3-30, 1996

      16 Engle, R. F., "Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation" 50 : 987-1007, 1982

      17 Ding, Z., "A long memory property of stock market returns and a new model" 1 : 83-106, 1993

      18 Teverovsky, V., "A critical look at Lo’s modified R/S statistic" 80 : 211-227, 1999

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2000-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.38 0.38 0.38
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.35 0.34 0.565 0.17
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