Results 11 to 20 of about 6,621,438 (152)

Modeling Long Memory Volatilities of Nigeria Selected Macro Economic Variables with Arfima and Arfima Figarch

open access: yesCumhuriyet Science Journal
The research delved into analysing the stochastic characteristics of Nigeria's Real GDP, the exchange rate of the Naira to US Dollar, and the inflation rate employing Autoregressive fractionally integrated moving average (ARFIMA) and the Autoregressive ...
Ayoade Adewole
doaj   +2 more sources

Nelson And Plosser Revisited: Evidence From Fractional Arima Models [PDF]

open access: yes, 2004
In this paper fractionally integrated ARIMA (ARFIMA) models are estimated using an extended version of Nelson and Plosser’s (1982) dataset. The analysis employs Sowell’s (1992) maximum likelihood procedure.
Caporale, GM, Gil-Alana, LA
core   +6 more sources

Sèries temporals amb memòria llarga: models ARFIMA

open access: yes, 2023
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023 , Director: Josep Vives i Santa Eulàlia[en] Time series analysis plays a vital role in understanding various phenomena in a wide variety of fields ...
Muñoz Martínez, Sergio Gabriel
core   +7 more sources

Prediction using ARFIMA and FOU models of affluent energy [PDF]

open access: yes, 2017
En este trabajo se estudian predicciones a partir de modelos ARFIMA y FOU para la serie de datos semanales de energía afluente generada por las represas hidroeléctricas de Uruguay entre 1909 y 2012. Se describe la serie de datos, y mediante la estimación
Kalemkerian, Juan
core   +7 more sources

A Study of Nigeria Monthly Stock Price Index Using ARTFIMA-FIGARCH Hybrid Model

open access: yesUMYU Scientifica Journal, 2023
Long memory is a phenomenon in time series analysis that is exhibited by a slow decay of the autocorrelation function. It has been observed that the presence of long memory in both mean and volatility can complicate model fitting and compromise ...
A G Umar, H G Dikko, J Garba, M Tasi’u
doaj   +1 more source

Mathematical Models for Dynamics of Molecular Processes in Living Biological Cells. A Single Particle Tracking Approach

open access: yesAnnales Mathematicae Silesianae, 2018
In this survey paper we present a systematic methodology of how to identify origins of fractional dynamics. We consider three models leading to it, namely fractional Brownian motion (FBM), fractional Lévy stable motion (FLSM) and autoregressive ...
Weron Aleksander
doaj   +1 more source

FORECASTING THE UNEMPLOYMENT RATE IN MALAYSIA DURING COVID-19 PANDEMIC USING ARIMA AND ARFIMA MODELS

open access: yesMalaysian Journal of Computing, 2022
The unemployment issue is one of the most common problems faced by many countries around the world. The unemployment rates in developed countries often fluctuate throughout time.
Nur Afiqah Ismail   +2 more
doaj   +1 more source

Wavelet based deseasonalization for modelling and forecasting of daily discharge series considering long range dependence

open access: yesJournal of Hydrology and Hydromechanics, 2014
Short term streamflow forecasting is important for operational control and risk management in hydrology. Despite a wide range of models available, the impact of long range dependence is often neglected when considering short term forecasting.
Szolgayová Elena   +3 more
doaj   +1 more source

Growth enterprise market in Hong Kong: Efficiency evolution and long memory in return and volatility [PDF]

open access: yesJournal of Asian Business and Economic Studies, 2020
Purpose – Growth enterprise market (GEM) in Hong Kong is acknowledged as one of the world’s most successful examples of small and medium enterprise (SME) stock market.
Trang Nguyen   +3 more
doaj   +1 more source

Estimation of parameters of autoregressive models with fractional differences in the presence of additive noise

open access: yesВестник Самарского университета: Естественнонаучная серия, 2023
For modeling in time series, models with fractional differences are widely used. The best known model is the ARFIMA (autoregressive fractionally integrated moving average) model.
Dmitriy V. Ivanov
doaj   +1 more source

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