Results 71 to 80 of about 13,793,172 (210)
On the Efficacy of ARFIMA, ARTFIMA, and MARFIMA Models in Forecasting Nigerian Crude Oil Prices
UMYU Scientifica JournalThis study presents a comprehensive evaluation of three advanced long-memory time series models— the Autoregressive Fractionally Integrated Moving Average (ARFIMA), the Autoregressive Tempered Fractionally Integrated Moving Average (ARTFIMA), and the ...
Musa Tasi’u +3 more
doaj +1 more source
TESTING THE LONG RANGE-DEPENDENCE FOR THE CENTRAL EASTERN EUROPEAN AND THE BALKANS STOCK MARKETS [PDF]
Annals of the University of Oradea: Economic Science, 2013 In this study we tested the existence of long memory in the the return series for major Central Eastern European and Balkans stock markets, using the following statistical methods: Hurst Exponent, GPH method, Andrews and Guggenberger method, Reisen ...
Pece Andreea Maria +3 more
doaj
Improved Trend Analysis With EOFs and Application to Warming of Polar Regions
International Journal of Climatology, Volume 45, Issue 7, 15 June 2025.Introducing a variation of EOF analysis, we obtain an insignificant Antarctic trend between 1979 and 2023 of (0.13 ± 0.17) K/decade. The first principal component completely captures the trend for land regions of the order of the size of most countries.
Ewan T. Phillips, Holger Kantz
wiley +1 more source
Fractional Integration and Business Cycles Features [PDF]
We show in this article that fractionally integrated univariate models for GDP may lead to a better replication of business cycle characteristics. We firstly show that the business cycle features are clearly affected by the degree of integration as well ...
Luis A. Gil-Alana, Bertrand Candelon
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Long memory and regime switching: A simulation study on the Markov Regime-Switching ARFIMA model
, 2016 Recent research argues that if the cause of confusion between long memory and regime switching were properly controlled for, they could be effectively distinguished.
Shi, Yanlin, Ho, Kin-Yip
core +1 more source
Lecturas de Economía, 2011 Sesgos en estimación, tamaño y potencia de una prueba sobre el parámetro de memoria larga en modelos ARFIMA Resumen: Castaño et al. (2008) proponen una prueba para investigar la existencia de memoria larga, basada en el parámetro de diferenciación ...
Elkin Castaño Vélez +2 more
doaj +1 more source
Identifying influential individuals and predicting future demand of chronic kidney disease patients
Decision Sciences, Volume 56, Issue 2, Page 123-143, April 2025.ABSTRACT To ensure high service quality, managers need to personalize treatment options and meet their customer demands. Our research is motivated by the need to better anticipate and prepare for that. We develop a generalizable framework that is the first to address two healthcare risk management goals: (1) identifying high risk and stable‐demand ...
Zlatana D. Nenova, Valerie L. Bartelt
wiley +1 more source
Modeling of nonstationarity and long memory with RS-ARFIMA-GARCH model
African Journal of Applied Statistics, 2018 We consider in this study the problem of confusion between the nonstationarity and the long memory. Many authors have pointed out, in empirical case, the existence of long memory in financial and economics time series, through processes supposed short memory stationary (See Mikosch and Stáricá (2004) and Lobato and Savin (1998)).
FOFANA, Souleymane +2 more
openaire +2 more sources
Fractional stochastic volatility model
Journal of Time Series Analysis, Volume 46, Issue 2, Page 378-397, March 2025.This article introduces a discrete‐time fractional stochastic volatility model (FSV) based on fractional Gaussian noise. The new model includes the standard stochastic volatility model as a special case and has the same limit as the fractional integrated stochastic volatility (FISV) model, which is the continuous‐time fractional Ornstein–Uhlenbeck ...
Shuping Shi, Xiaobin Liu, Jun Yu
wiley +1 more source
Model Hybrid ARFIMA-ANN untuk Mengatasi Heteroskedastisitas dan Nonlinieritas dalam Residu Model ARFIMA pada Peramalan Harga Perak Berjangka [PDF]
Perak memiliki volatilitas harga yang tinggi sehingga menimbulkan tantangan dalam melakukan peramalan harga pada pasar berjangka. Penelitian ini mengusulkan penggunaan model hybrid ARFIMA–ANN untuk meningkatkan akurasi peramalan dengan mengatasi ...
Elvira, Nia Dwi
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