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Modeling long-run behavior with the fractional ARIMA model
4 references·16 citing·49 second hopsampled
Modeling long-run behavior with the fractional ARIMA model (1992)Modeling long-run behavior with the fract…Long memory and persistence in aggregate output (1989)Long memory and persistence i…How Big Is the Random Walk in GNP? (1988)How Big Is the Random Walk in…Are Output Fluctuations Transitory? 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(1999)What is Fractional Integratio…Using wavelets to obtain a consistent ordinary least squares estimator of the long-memory parameter (1999)Using wavelets to obtain a co…Pitfalls in testing for long run relationships (1998)Pitfalls in testing for long …The Dynamics of Aggregate Partisanship (1996)The Dynamics of Aggregate Par…Long memory continuous time models (1996)Long memory continuous time m…Long Memory in Inflation Rates: International Evidence (1995)Long Memory in Inflation Rate…A search for long memory in international stock market returns (1995)A search for long memory in i…The long memory of the forward premium (1994)The long memory of the forwar…Some advances in non‐linear and adaptive modelling in time‐series (1994)Some advances in non‐linear a…On the power of unit root tests against fractional alternatives (1994)On the power of unit root tes…Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Time to Build and Aggregate Fluctuations (1982)A Model of Growth Through Creative Destruction (1990)Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles (2000)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Testing for a Unit Root in Time Series Regression (1988)On Fractionally Integrated Autoregressive Moving-Average Time Series Models With Conditional Heteroscedasticity (1997)Modelling structural breaks, long memory and stock market volatility: an overview (2004)Value-at-risk estimations of energy commodities via long-memory, asymmetry and fat-tailed GARCH models (2010)Fractional Brownian Motions, Fractional Noises and Applications (1968)AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING (1980)Fractional Differencing (1981)The distribution of realized stock return volatility (2001)Modeling and Forecasting Realized Volatility (2003)Is All That Talk Just Noise? 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References

  • 1983THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS2,936 cited
  • 1988How Big Is the Random Walk in GNP?1,270 cited
  • 1987Are Output Fluctuations Transitory?811 cited
  • 1989Long memory and persistence in aggregate output546 cited

Cited by

  • 2002Multifractality in Asset Returns: Theory and Evidence384 cited
  • 1994Some advances in non‐linear and adaptive modelling in time‐series361 cited
  • 1995Long Memory in Inflation Rates: International Evidence315 cited
  • 1994On the power of unit root tests against fractional alternatives309 cited
  • 2004Estimation and interpretation of 1/fα noise in human cognition304 cited
  • 1996Long memory continuous time models248 cited
  • 1995A search for long memory in international stock market returns236 cited
  • 1999What is Fractional Integration?229 cited
  • 1998Pitfalls in testing for long run relationships226 cited
  • 1994The long memory of the forward premium212 cited
  • 2003Contemporaneous aggregation of linear dynamic models in large economies189 cited
  • 2005

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An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series
175 cited
  • 2018Modelling long memory volatility in the Bitcoin market: Evidence of persistence and structural breaks172 cited
  • 2000Mean reversion in the real exchange rates166 cited
  • 1996The Dynamics of Aggregate Partisanship162 cited
  • 1999Using wavelets to obtain a consistent ordinary least squares estimator of the long-memory parameter156 cited