Revista Colombiana de Estadística, 2008 This paper presents a new test for the fractional differencing parameter of an ARFIMA model, based on an autoregressive approximation of its short-range component.
Castaño Elkin +2 more
doaj
Comparative study on retail sales forecasting between single and combination methods
Journal of Business Economics and Management, 2017 In today’s competitive global economy, businesses must adjust themselves constantly to ever-changing markets. Therefore, predicting future events in the marketplace is crucial to the maintenance of successful business activities.
Serkan Aras +2 more
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Revista Colombiana de Estadística, 2008 Este documento presenta una nueva prueba para el parámetro de diferenciación fraccional de un modelo ARFIMA, basada en una aproximación autorregresiva de su componente a corto plazo.
ELKIN CASTAÑO +2 more
doaj
A guide to Whittle maximum likelihood estimator in MATLAB. [PDF]
Front Netw Physiol, 2023 Roume C.
europepmc +1 more source
Testing and Estimating Persistence in Canadian Unemployment. [PDF]
A vital implication of unemployment persistence applies to the Bank of Canada's disinflation policies since it adversely influences unemployment and considerably lengthens recessions.
Curtis J. Eberwein +2 more
core
Volatility and Return Transmission among Cement Industry Stock Prices: an Application of Multivariate FIGARCH Modeling in High Frequency Financial time Series [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2011 Long memory in asset returns and volatilities is a new research area, both in theoretical and empirical modeling of high frequent financial time series. The most popular techniques of time series modeling with long memory is the ARFIMA-FIGARCH, but this ...
Gholamreza Keshavarz Haddad +2 more
doaj
SaPt-CNN-LSTM-AR-EA: a hybrid ensemble learning framework for time series-based multivariate DNA sequence prediction. [PDF]
PeerJ, 2023 Yan W +5 more
europepmc +1 more source
Minimum distance estimation of stationary and non-stationary ARFIMA processes [PDF]
A new parametric minimum distance time-domain estimator for ARFIMA processes is introduced in this paper. The proposed estimator minimizes the sum of squared correlations of residuals obtained after filtering a series through ARFIMA parameters.
Laura Mayoral
core
South African inflation modelling using bootstrapped long short-term memory methods. [PDF]
SN Bus Econ, 2023 Kubheka S.
europepmc +1 more source
Forecasting Realized Volatility Using A Nonnegative Semiparametric Model [PDF]
This paper introduces a parsimonious and yet flexible nonnegative semiparametric model to forecast financial volatility. The new model extends the linear nonnegative autoregressive model of Barndorff-Nielsen & Shephard (2001) and Nielsen & Shephard (2003)
Anders Eriksson, Daniel Preve, Jun Yu
core +4 more sources