Minimum distance estimation of stationary and non‐stationary ARFIMA processes

DOI10.1111/j.1368-423x.2007.00202.xzbMath1116.62096OpenAlexW2158904535MaRDI QIDQ135663

Laura Mayoral, Laura Mayoral

Publication date: 1 February 2007

Published in: The Econometrics Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1368-423x.2007.00202.x

zbMATH Keywords

tablesfractional integrationlong-memory

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Point estimation (62F10)

Related Items (10)

Robust minimum distance estimators for the CARR(1,1) model ⋮ Minimum distance estimation of ARFIMA processes ⋮ Modified information criteria and selection of long memory time series models ⋮ Minimum Hellinger distance estimation of an ARFIMA process ⋮ NONSTATIONARITY-EXTENDED WHITTLE ESTIMATION ⋮ nsarfima ⋮ HETEROSKEDASTICITY-ROBUST TESTING FOR A FRACTIONAL UNIT ROOT ⋮ On least squares estimation for long-memory lattice processes ⋮ Minimum Hellinger distance estimates for a periodically time-varying long memory parameter ⋮ Minimum distance estimation of locally stationary moving average processes

Cites Work

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• Time series: theory and methods
• Large-sample properties of parameter estimates for strongly dependent stationary Gaussian time series
• On large-sample estimation for the mean of a stationary random sequence
• A new estimator of the fractionally integrated stochastic volatility model
• Alternative forms of fractional Brownian motion
• Estimating the differencing parameter via the partial autocorrelation function
• A minimum distance estimator for long-memory processes
• Long memory processes and fractional integration in econometrics
• Asymptotic distributions of the sample mean, autocovariances, and autocorrelations of long-memory time series
• The Fractional Unit Root Distribution
• Wald Tests of I(1) against I(d) Alternatives: Some New Properties and an Extension to Processes with Trending Components
• On unified model selection for stationary and nonstationary short- and long-memory autoregressive processes
• On the invertibility of fractionally differenced ARIMA processes
• Efficient Tests of Nonstationary Hypotheses
• On some simple, autoregression-based estimation and identification techniques for ARMA models
• Comparing the bias and misspecification in ARFIMA models
• Stochastic Limit Theory
• Whittle Pseudo-Maximum Likelihood Estimation for Nonstationary Time Series
• Consistent Testing for Serial Correlation of Unknown Form
• Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models
• Linear Statistical Inference and its Applications

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