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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   +5 more sources

IDENTIFICACIÓN DE MODELOS ARFIMA

open access: yesRevista de la Facultad de Ciencias, 2016
Desde la introducción de los modelos fraccionalmente integrados ARFIMA para  series de tiempo con memoria larga, ha surgido un gran interés en el estudio de sus propiedades y áreas de aplicación.
Elkin Castaño-Vëlez
doaj   +6 more sources

Forecasting realised volatility using ARFIMA and HAR models [PDF]

open access: yesQuantitative Finance, 2019
Recent literature provides mixed empirical evidence with respect to the forecasting performance of ARFIMA and HAR models. This paper compares the forecasting performance of both models using high frequency data of 100 stocks representing 10 business sectors for the period 2000-2010.
M Kabir Hassan   +2 more
exaly   +3 more sources

التنبؤ باستخدام نموذج الانحدار الذاتي والمتوسطات المتحركة التكاملية الكسرية ARFIMA (p, d, q) : دراسة تطبيقية [PDF]

open access: yesالمجلة العلمية للدراسات والبحوث المالية والتجارية, 2023
                   تم في هذا البحث دراسة وعرض خطوات تحليل السلاسل الزمنية باستخدام نموذج الانحدار الذاتي والمتوسطات المتحركة التكاملية الكسرية "نموذج السلاسل الزمنية ذات الذاكرة الطويلة" ARFIMA (p, d, q).
أمال عبد الغني   +1 more
doaj   +1 more source

ARFIMA Model for Short Term Forecasting of New Death Cases COVID-19 [PDF]

open access: yesE3S Web of Conferences, 2020
COVID-19 is an infectious disease that can spread from one person to another and has a high potential for death. The infection of COVID-19 is spreading massive and fast that causes the extreme fluctuating data spread and long memory effects.
Kartikasari Puspita   +2 more
doaj   +1 more source

The hybrid model of autoregressive integrated moving average and fuzzy time series Markov chain on long-memory data

open access: yesFrontiers in Applied Mathematics and Statistics, 2022
IntroductionThe price of crude oil as an essential commodity in the world economy shows a pattern and identifies the component factors that influence it in the short and long term.
Dodi Devianto   +4 more
doaj   +1 more source

BOOTSTRAP ASSISTED SPECIFICATION TESTS FOR THE ARFIMA MODEL [PDF]

open access: yesEconometric Theory, 2011
This paper proposes bootstrap assisted specification tests for the autoregressive fractionally integrated moving average model based on the BartlettTp-process with estimated parameters whose limiting distribution under the null depends on the estimated model and the estimation method employed.
Delgado, Miguel A.   +2 more
openaire   +2 more sources

Fractional differencing in stock market price and online presence of global tourist corporations [PDF]

open access: yesJournal of Economics Finance and Administrative Science, 2019
Purpose - This work aims to explore the behavior of stock market prices according to the autoregressive fractional differencing integrated moving average model.
Francisco Flores-Muñoz   +2 more
doaj   +1 more source

Minimum distance estimation of ARFIMA processes

open access: yesComputational Statistics & Data Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zevallos, M., Palma M., Wilfredo
openaire   +5 more sources

Stochastic Inequalities for the Run Length of the EWMA Chart for Long-Memory Processes

open access: yesRevstat Statistical Journal, 2019
In this paper the properties of the modified EWMA control chart for detecting changes in the mean of an ARFIMA process are discussed. The central question is related to the false alarm probability and its behavior for different autocorrelation ...
Yarema Okhrin , Wolfgang Schmid
doaj   +1 more source

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