Results 101 to 110 of about 4,760 (217)
In this research, we studied forecasting based on time series data for red onion prices in Nineveh Governorate using model ARFIMA Autoregressive fractionally integrated moving average. A ARFIMA-FUZZY (FTS) hybrid model was proposed This model has the advantage and strength of the ARFIMA partial autoregressive integral in addition to the FUZZY-ARFIMA ...
Rehab Talal Ahmed, Omar salim Ibrahim
openaire +1 more source
A guide to Whittle maximum likelihood estimator in MATLAB. [PDF]
Roume C.
europepmc +1 more source
"Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model" [PDF]
In this paper, we apply the ARFIMA-GARCH model to the realized volatility and the continuous sample path variations constructed from high-frequency Nikkei 225 data.
Isao Ishida, Toshiaki Watanabe
core
INTERNATIONAL TOURISTS’ EXPENDITURES IN THAILAND: A MODELLING OF THE ARFIMA-FIGARCH APPROACH [PDF]
Forecasting is an essential analytical tool for tourism policy andplanning. This paper focuses on forecasting methods based on ARFIMA(p,d,q)-FIGARCH(p,d,q). Secondary data was used to produce forecasts of international tourists’expenditures in Thailand for the period 2009-2010.
Kanchana Chokethaworn +5 more
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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
Higher-Order Improvements of the Sieve Bootstrap for Fractionally Integrated Processes [PDF]
This paper investigates the accuracy of bootstrap-based inference in the case of long memory fractionally integrated processes. The re-sampling method is based on the semi-parametric sieve approach, whereby the dynamics in the process used to produce the
Grose, Simone D. +2 more
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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
SaPt-CNN-LSTM-AR-EA: a hybrid ensemble learning framework for time series-based multivariate DNA sequence prediction. [PDF]
Yan W +5 more
europepmc +1 more source
A Mixture Multiplicative Error Model for Realized Volatility [PDF]
A multiplicative error model with time-varying parameters and an error term following a mixture of gamma distributions is introduced. The model is fitted to the daily realized volatility series of Deutschemark/Dollar and Yen/Dollar returns and is shown ...
Markku Lanne
core
Persistência inflacionária regional brasileira: uma aplicação dos modelos arfima
Este artigo analisa o fenômeno da persistência das taxas de inflação (IPCA) das regiões metropolitanas de Belém, Fortaleza, Recife, Salvador, Belo Horizonte, Rio de Janeiro, São Paulo, Curitiba e Porto Alegre, além de Brasília e Goiânia.
Cleomar Gomes da Silva +1 more
doaj

