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Volumn 177, Issue 2, 2013, Pages 171-184

Forecasting a long memory process subject to structural breaks

Author keywords

Forecasting; HAR model; Long memory process; Structural break

Indexed keywords

COMPUTER SIMULATION; MONTE CARLO METHODS; SAMPLING;

EID: 84886721200     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jeconom.2013.04.006     Document Type: Article
Times cited : (28)

References (36)
  • 1
    • 0242640579 scopus 로고
    • Power spectrum estimation through autoregressive model fitting
    • H. Akaike Power spectrum estimation through autoregressive model fitting Annals of Institute of Statistics Mathematics 21 1969 407 419
    • (1969) Annals of Institute of Statistics Mathematics , vol.21 , pp. 407-419
    • Akaike, H.1
  • 4
    • 0346906789 scopus 로고    scopus 로고
    • Estimating and testing linear models with multiple structural changes
    • J. Bai, and P. Perron Estimating and testing linear models with multiple structural changes Econometrica 66 1998 47 78
    • (1998) Econometrica , vol.66 , pp. 47-78
    • Bai, J.1    Perron, P.2
  • 5
    • 30244493399 scopus 로고    scopus 로고
    • Long memory processes and fractional integration in econometrics
    • R.T. Baillie Long memory processes and fractional integration in econometrics Journal of Econometrics 73 1996 5 59
    • (1996) Journal of Econometrics , vol.73 , pp. 5-59
    • Baillie, R.T.1
  • 6
    • 67349112865 scopus 로고    scopus 로고
    • Modeling long memory and structural breaks in conditional variances: An adaptive FIGARCH approach
    • R.T. Baillie, and C. Morana Modeling long memory and structural breaks in conditional variances: an adaptive FIGARCH approach Journal of Economic Dynamics and Control 33 2009 1577 1592
    • (2009) Journal of Economic Dynamics and Control , vol.33 , pp. 1577-1592
    • Baillie, R.T.1    Morana, C.2
  • 7
    • 33746463150 scopus 로고    scopus 로고
    • Testing for a change of the long-memory parameter
    • J. Beran, and N. Terrin Testing for a change of the long-memory parameter Biometrika 83 1996 627 638
    • (1996) Biometrika , vol.83 , pp. 627-638
    • Beran, J.1    Terrin, N.2
  • 8
    • 0000658462 scopus 로고    scopus 로고
    • Modeling and pricing long memory in stock market volatility
    • T. Bollerslev, and H.O. Mikkelsen Modeling and pricing long memory in stock market volatility Journal of Econometrics 73 1996 151 184
    • (1996) Journal of Econometrics , vol.73 , pp. 151-184
    • Bollerslev, T.1    Mikkelsen, H.O.2
  • 10
    • 77953287742 scopus 로고    scopus 로고
    • Long memory versus structural breaks in modeling and forecasting realized volatility
    • K. Choi, W.C. Yu, and E. Zivot Long memory versus structural breaks in modeling and forecasting realized volatility Journal of International Money and Finance 29 2010 857 875
    • (2010) Journal of International Money and Finance , vol.29 , pp. 857-875
    • Choi, K.1    Yu, W.C.2    Zivot, E.3
  • 12
    • 0000890412 scopus 로고    scopus 로고
    • Model selection and forecasting for long-range dependent processes
    • N. Crator, and B. Ray Model selection and forecasting for long-range dependent processes Journal of Forecasting 15 1996 107 125
    • (1996) Journal of Forecasting , vol.15 , pp. 107-125
    • Crator, N.1    Ray, B.2
  • 13
    • 33745808667 scopus 로고    scopus 로고
    • Asymptotic normality of narrow-band least squares in the stationary fractional cointegration model and volatility forecasting
    • B.J. Christensen, and M. Nielsen Asymptotic normality of narrow-band least squares in the stationary fractional cointegration model and volatility forecasting Journal of Econometrics 133 2006 343 371
    • (2006) Journal of Econometrics , vol.133 , pp. 343-371
    • Christensen, B.J.1    Nielsen, M.2
  • 14
    • 62849101579 scopus 로고    scopus 로고
    • A simple approximate long-memory model of realized volatility
    • F. Corsi A simple approximate long-memory model of realized volatility Journal of Financial Econometrics 7 2009 174 196
    • (2009) Journal of Financial Econometrics , vol.7 , pp. 174-196
    • Corsi, F.1
  • 17
    • 0018872157 scopus 로고
    • Long memory relationships and the aggregation of dynamic models
    • C.W.J. Granger Long memory relationships and the aggregation of dynamic models Journal of Econometrics 14 1980 227 238
    • (1980) Journal of Econometrics , vol.14 , pp. 227-238
    • Granger, C.W.J.1
  • 18
    • 1942444547 scopus 로고    scopus 로고
    • Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns
    • C.W.J. Granger, and N. Hyung Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns Journal of Empirical Finance 11 2004 399 421
    • (2004) Journal of Empirical Finance , vol.11 , pp. 399-421
    • Granger, C.W.J.1    Hyung, N.2
  • 20
    • 0039120603 scopus 로고    scopus 로고
    • Testing for structural change in a long memory environment
    • J. Hidalgo, and P.M. Robinson Testing for structural change in a long memory environment Journal of Econometrics 70 1996 159 174
    • (1996) Journal of Econometrics , vol.70 , pp. 159-174
    • Hidalgo, J.1    Robinson, P.M.2
  • 21
    • 77956890381 scopus 로고
    • Fractional differencing
    • J.R.M. Hosking Fractional differencing Biometrika 68 1981 165 176
    • (1981) Biometrika , vol.68 , pp. 165-176
    • Hosking, J.R.M.1
  • 22
    • 0021638982 scopus 로고
    • Modeling persistence in hydrological time series using fractional differencing
    • J.R.M. Hosking Modeling persistence in hydrological time series using fractional differencing Water Resource Research 20 1984 1898 1908
    • (1984) Water Resource Research , vol.20 , pp. 1898-1908
    • Hosking, J.R.M.1
  • 23
    • 0000708126 scopus 로고    scopus 로고
    • Asymptotic distributions of the sample mean, autocovariances, and autocorrelations of long-memory time series
    • J.R.M. Hosking Asymptotic distributions of the sample mean, autocovariances, and autocorrelations of long-memory time series Journal of Econometrics 73 1996 261 284
    • (1996) Journal of Econometrics , vol.73 , pp. 261-284
    • Hosking, J.R.M.1
  • 24
  • 25
    • 0042963975 scopus 로고    scopus 로고
    • Change-point estimation of fractionally integrated processes
    • C.-M. Kuan, and C.-C. Hsu Change-point estimation of fractionally integrated processes Journal of Time Series Analysis 19 1998 693 708
    • (1998) Journal of Time Series Analysis , vol.19 , pp. 693-708
    • Kuan, C.-M.1    Hsu, C.-C.2
  • 27
    • 0017981445 scopus 로고
    • Preservation of the rescaled adjusted range 1: A reassessment of the Hurst phenomenon
    • A.I. McLeod, and K.W. Hipel Preservation of the rescaled adjusted range 1: A reassessment of the Hurst phenomenon Water Resource Research 14 1978 491 508
    • (1978) Water Resource Research , vol.14 , pp. 491-508
    • McLeod, A.I.1    Hipel, K.W.2
  • 28
    • 0002254780 scopus 로고
    • The evaluation of economic forecasts
    • W.F. Sharpe, C.M. Cooter, Prentice-Hall New Jersey
    • J. Mincer, and V. Zarnowitz The evaluation of economic forecasts W.F. Sharpe, C.M. Cooter, Economic Forecasts and Expectations 1969 Prentice-Hall New Jersey
    • (1969) Economic Forecasts and Expectations
    • Mincer, J.1    Zarnowitz, V.2
  • 30
    • 26844526698 scopus 로고    scopus 로고
    • Small sample properties of forecasts from autoregressive models under structural breaks
    • M.H. Pesaran, and A. Timmermann Small sample properties of forecasts from autoregressive models under structural breaks Journal of Econometrics 129 2005 183 217
    • (2005) Journal of Econometrics , vol.129 , pp. 183-217
    • Pesaran, M.H.1    Timmermann, A.2
  • 31
    • 77956102605 scopus 로고    scopus 로고
    • Selection of estimation window in the presence of breaks
    • M.H. Pesaran, and A. Timmermann Selection of estimation window in the presence of breaks Journal of Econometrics 129 2007 183 217
    • (2007) Journal of Econometrics , vol.129 , pp. 183-217
    • Pesaran, M.H.1    Timmermann, A.2
  • 32
    • 36448943535 scopus 로고    scopus 로고
    • Autoregressive approximation in nonstandard situation: The fractionally integrated and non-invertible cases
    • D.S. Poskitt Autoregressive approximation in nonstandard situation: the fractionally integrated and non-invertible cases Annals of Institute of Statistical Mathematics 59 2007 697 725
    • (2007) Annals of Institute of Statistical Mathematics , vol.59 , pp. 697-725
    • Poskitt, D.S.1
  • 33
    • 0001314395 scopus 로고
    • Asymptotically efficient selection of the order of the model for estimating parameters of linear processes
    • R. Shibata Asymptotically efficient selection of the order of the model for estimating parameters of linear processes Annals of Statistics 8 1980 147 164
    • (1980) Annals of Statistics , vol.8 , pp. 147-164
    • Shibata, R.1
  • 34
    • 0030528942 scopus 로고    scopus 로고
    • Evidence on structural instability in macroeconomic time series realtions
    • J.H. Stock, and M.W. Watson Evidence on structural instability in macroeconomic time series realtions Journal of Business and Economics Statistics 14 1996 11 30
    • (1996) Journal of Business and Economics Statistics , vol.14 , pp. 11-30
    • Stock, J.H.1    Watson, M.W.2
  • 35
    • 84979455306 scopus 로고
    • Some advances in non linear and adaptive modelling in time series
    • G.C. Tiao, and R.S. Tsay Some advances in non linear and adaptive modelling in time series Journal of Forecasting 13 2 1994 109 148
    • (1994) Journal of Forecasting , vol.13 , Issue.2 , pp. 109-148
    • Tiao, G.C.1    Tsay, R.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.