In this paper we construct a test for the difference parameter d in the fractionally integrated autoregressive moving-average (ARFIMA) model. Obtaining estimates by smoothed spectral regression estimation method, we use the moving blocks bootstrap method to construct the test for d. The results of Monte Carlo studies show that this test is generally valid for certain block sizes, and for these block sizes, the test has reasonably good power
This article defines the Autoregressive Fractional Unit Root Integrated Moving Average (ARFURIMA) mo...
This paper describes a parameter estimation method for both stationary and non-stationary ARFIMA (p,...
Castaño et al. (2008) proposed a test to investigate the existence of long memory based on the fract...
This paper proposes bootstrap assisted specification tests for the autoregressive fractionally integ...
We propose methods for monitoring the residuals of a fitted ARIMA or an autoregressive fractionally ...
For an autoregressive fractionally integrated moving-average ARFIMA(p, d, q) process, it is often a ...
This paper proposes bootstrap assisted specification tests for the autoregressive fractionally integ...
ARFIMA models - AutoRegressive Fractional Integrated Moving Average modelsSIGLEGBUnited Kingdo
Deciding the order of differencing is an important part in the specification of an autoregressive in...
In this paper, it is proposed to modify autoregressive fractionally integrated moving average (ARFIM...
Strong coupling between values at different times that exhibit properties of long range dependence, ...
This paper investigates the out-of-sample forecast performance of the autoregressive fractionally in...
This paper investigates the persistence of the long memory property in the daily stock index EGX30. ...
Abstract A desirable property for an estimator of the fractional ARFIMA parameter is to be first dif...
In practice, several time series exhibit long-range dependence or per-sistence in their observations...
This article defines the Autoregressive Fractional Unit Root Integrated Moving Average (ARFURIMA) mo...
This paper describes a parameter estimation method for both stationary and non-stationary ARFIMA (p,...
Castaño et al. (2008) proposed a test to investigate the existence of long memory based on the fract...
This paper proposes bootstrap assisted specification tests for the autoregressive fractionally integ...
We propose methods for monitoring the residuals of a fitted ARIMA or an autoregressive fractionally ...
For an autoregressive fractionally integrated moving-average ARFIMA(p, d, q) process, it is often a ...
This paper proposes bootstrap assisted specification tests for the autoregressive fractionally integ...
ARFIMA models - AutoRegressive Fractional Integrated Moving Average modelsSIGLEGBUnited Kingdo
Deciding the order of differencing is an important part in the specification of an autoregressive in...
In this paper, it is proposed to modify autoregressive fractionally integrated moving average (ARFIM...
Strong coupling between values at different times that exhibit properties of long range dependence, ...
This paper investigates the out-of-sample forecast performance of the autoregressive fractionally in...
This paper investigates the persistence of the long memory property in the daily stock index EGX30. ...
Abstract A desirable property for an estimator of the fractional ARFIMA parameter is to be first dif...
In practice, several time series exhibit long-range dependence or per-sistence in their observations...
This article defines the Autoregressive Fractional Unit Root Integrated Moving Average (ARFURIMA) mo...
This paper describes a parameter estimation method for both stationary and non-stationary ARFIMA (p,...
Castaño et al. (2008) proposed a test to investigate the existence of long memory based on the fract...