Results 21 to 30 of about 7,382 (224)

Peramalan Jumlah Kedatangan Wisatawan Mancanegara di Sulawesi Selatan Menggunakan Model ARFIMA

open access: yesJournal of Mathematics Computations and Statistics, 2022
Pariwisata dianggap sebagai suatu aset yang strategis untuk mendorong pembangunan pada wilayah-wilayah tertentu yang mempunyai potensi objek wisata. Faktor-faktor yang mempengaruhi wisatawan mancanegara berkunjung ke suatu wilayah negara, diantaranya ...
Sukarna Sukarna   +3 more
semanticscholar   +2 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

Modelling exchange rate volatility with random level shifts [PDF]

open access: yes, 2016
Recent literature has shown that the volatility of exchange rate returns displays long memory features. It has also been shown that if a short memory process is contaminated by level shifts, the estimate of the long memory parameter tends to be upward ...
Li, Ye, Perron, Pierre, Xu, Jiawen
core   +1 more source

A FRACTIONAL ARIMA (ARFIMA) MODEL in the ANALYSIS of HISTORICAL CRUDE OIL PRICES

open access: yesEnergy RESEARCH LETTERS, 2022
We investigate historical data for crude oil prices using autoregressive fractionally integrated moving average (ARFIMA) models to determine whether shocks in the series have transitory or permanent effects.
M. Monge, Juan Infante
semanticscholar   +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

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   +4 more sources

PERBANDINGAN NILAI AKURASI PERAMALAN MODEL TERBAIK ARFIMA-GPH DAN INTERVENSI MULTI INPUT DALAM PERAMALAN IHPBI

open access: yesJurnal Statistika Universitas Muhammadiyah Semarang, 2022
Indeks Harga Perdagangan Besar Indonesia (IHPBI) diperlukan sebagai suatu penunjuk awal dalam analisis harga konsumen, dimana ketika terjadi inflasi maka stabilitas ekonomi Indonesia akan mulai terganggu.
M. Miftahuddin   +3 more
semanticscholar   +1 more source

Long Memory Volatility Model dengan ARFIMA-HYGARCH Untuk Meramalkan Return Indeks Harga Saham Gabungan (IHSG)

open access: yesUnnes Journal of Mathematics, 2022
Model ARFIMA-HYGARCH merupakan model yang dapat menjelaskan time series jangka panjang dan dapat mengatasi masalah ragam yang heterogen serta pengaruh asimetrik dalam data return IHSG.
Nurhayun Rismawati, S. Sugiman
semanticscholar   +1 more source

Evaluating the Effectiveness of GARCH Models in the Estimation of Systematic Risk in listed companies of the Tehran Stock Exchange [PDF]

open access: yesJournal of Asset Management and Financing, 2020
The stock market of each country, in addition to reflecting its economic structure, is considered as an important source of capital Circulation of that country.
nemat rastgoo, Hossein panahian
doaj   +1 more source

A Comparative Study for Estimate Fractional Parameter of ARFIMA Model

open access: yesJournal of economic and administrative sciences, 2022
      Long memory analysis is one of the most active areas in econometrics and time series where various methods have been introduced to identify and estimate the long memory parameter in partially integrated time series.
Ammar Muayad Saber, R. A. Saleh
semanticscholar   +1 more source

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