Asymptotic distributions of the sample mean, autocovariances, and autocorrelations of long-memory time series

From MaRDI portal
Publication:1922366


DOI10.1016/0304-4076(95)01740-2zbMath0854.62084OpenAlexW2059850868MaRDI QIDQ1922366

Jonathan R. M. Hosking

Publication date: 19 January 1997

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

Full work available at URL: https://doi.org/10.1016/0304-4076(95)01740-2



Related Items

Minimum distance estimation of ARFIMA processes, A New Test for Short Memory in Long Memory Time Series, Bias Correction of Persistence Measures in Fractionally Integrated Models, Integer-valued Trawl Processes: A Class of Stationary Infinitely Divisible Processes, Asymptotics of the sample mean and sample covariance of long-range-dependent series, Prediction of long memory processes on same-realisation, Recursive predictive tests for structural change of long-memory ARFIMA processes with unknown break points, From directed polymers in spatial-correlated environment to stochastic heat equations driven by fractional noise in \(1 + 1\) dimensions, Asymptotic distributions of the sample mean, autocovariances, and autocorrelations of long-memory time series, On the power of the KPSS test of stationarity against fractionally-integrated alternatives, The power of the KPSS-test for cointegration when residuals are fractionally integrated, The Asymptotic Distribution of The Pathwise Mean Squared Displacement in Single Particle Tracking Experiments, BIAS CORRECTION OF SEMIPARAMETRIC LONG MEMORY PARAMETER ESTIMATORS VIA THE PREFILTERED SIEVE BOOTSTRAP, Comparison of the LS-based estimators and the MLE for the fractional Ornstein-Uhlenbeck process, Real-time monitoring test for realized volatility, Scaling limits of directed polymers in spatial-correlated environment, The effect of round-off error on long memory processes, On asymptotic distributions of weighted sums of periodograms, Some convergence results on quadratic forms for random fields and application to empirical covariances, Comparison of non-parametric and semi-parametric tests in detecting long memory, Random central limit theorems for linear processes with weakly dependent innovations, A Monte Carlo subsampling method for estimating the distribution of signal-to-noise ratio statistics in nonparametric time series regression models, Asymptotic normality of the estimators for fractional Brownian motions with discrete data, The bias of lag window estimators of the fractional difference parameter., Forecasting a long memory process subject to structural breaks, Sensitivity of the Hermite rank, How the instability of ranks under long memory affects large-sample inference, Identification of Persistent Cycles in Non-Gaussian Long-Memory Time Series, Indirect inference for fractional time series models, Limit Theorems for Long-Memory Stochastic Volatility Models with Infinite Variance: Partial Sums and Sample Covariances, Covariances Estimation for Long-Memory Processes, Residual empirical processes for long and short memory time series, Asymptotic normality of the mixture density estimator in a disaggregation scheme, Minimum distance estimation of \(k\)-factors GARMA processes, Autoregressive approximation in nonstandard situations: the fractionally integrated and non-invertible cases, Mean and autocovariance function estimation near the boundary of stationarity, On linear processes with dependent innovations, Calculating and analyzing impulse responses for the vector ARFIMA model., Differentiating intraday seasonalities through wavelet multi-scaling, Analysis of the correlation structure of square time series, On the sample mean of locally stationary long-memory processes, Properties of the Sieve Bootstrap for Fractionally Integrated and Non-Invertible Processes, On functional limits of short- and long-memory linear processes with GARCH(1,1) noises, Minimum distance estimation of stationary and non‐stationary ARFIMA processes, An Omnibus Test for Time Series ModelI(d), On Berry-Esseen bounds for non-instantaneous filters of linear processes, Sample autocovariances of long-memory time series, Convergence of integrated superpositions of Ornstein-Uhlenbeck processes to fractional Brownian motion, An asymptotic theory for sample covariances of Bernoulli shifts, Estimation of slowly time-varying trend function in long memory regression models, The polynomial aggregated AR(1) model*, A Generalised Fractional Differencing Bootstrap for Long Memory Processes, First-order bias correction for fractionally integrated time series, A new estimator of the fractionally integrated stochastic volatility model, A moment-based notion of time dependence for functional time series, Moment tests for window length selection in singular spectrum analysis of short- and long-memory processes, On the power of durbin-watson statistic against fractionally integrated processes, Heterogeneous expectations and long-range correlation of the volatility of asset returns, Inference for impulse response coefficients from multivariate fractionally integrated processes, Rescaled variance and related tests for long memory in volatility and levels, Higher-order improvements of the sieve bootstrap for fractionally integrated processes, Testing structural breaks versus long memory with the Box-Pierce statistics: a Monte Carlo study, Behaviour of skewness, kurtosis and normality tests in long memory data, Semi-parametric smoothing estimators for long-memory processes with added noise



Cites Work