Results 21 to 30 of about 467 (180)
Stochastic Inequalities for the Run Length of the EWMA Chart for Long-Memory Processes
Revstat 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
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PEMODELAN DATA HARGA CABAI DENGAN PENDEKATAN DERET WAKTU FRAKSIONAL ARFIMA
Jurnal Lebesgue, 2023 Long-memory is a type of time series data that has a high correlation between long observation times. This can be seen from the autocorrelation function where the lag falls slowly over a long period. Such long-memory data can be modeled in the form of an
Elsa Wahyuni +2 more
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Minimum distance estimation of ARFIMA processes
Computational Statistics & Data Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zevallos, M., Palma M., Wilfredo
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Lecturas de Economía, 2013 Prueba de hipótesis sobre la existencia de una raíz fraccional en una serie de tiempo no estacionaria Resumen: En este trabajo se propone una modificación de la prueba de hipótesis propuesta por Castaño, Gómez y Gallón (2008) para determinar la ...
Diego Lemus, Elkin Castaño
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SMALL-SAMPLE LIKELIHOOD-BASED INFERENCE IN THE ARFIMA MODEL [PDF]
Econometric Theory, 2000 The autoregressive fractionally integrated moving average (ARFIMA) model has become a popular approach for analyzing time series that exhibit long-range dependence. For the Gaussian case, there have been substantial advances in the area of likelihood-based inference, including development of the asymptotic properties of the maximum likelihood ...
Offer Lieberman +2 more
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On the invertibility in periodic ARFIMA models
, 2020 The present paper, characterizes the invertibility and causality conditions of a periodic ARFIMA (PARFIMA) models. We first, discuss the conditions in the multivariate case, by considering the corresponding p-variate stationary ARFIMA models. Second, we construct the conditions using the univariate case and we deduce a new infinite autoregressive ...
Amimour, Amine, Belaide, Karima
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İKİLİ UZUN HAFIZADA ASİMETRİ ETKİSİ: BİST BANKA ÖRNEĞİ
Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2019 Çalışmanın amacı, Türk bankacılık sektör endeksiningetiri ve volatilitesinde ikili uzun hafıza özelliğini ARFIMA-FIGARCH veARFIMA-FIEGARCH modeli ile inceleyerek etkin piyasalar hipotezini testetmektir. Bu amaçla modelde veri seti olarak 2008-2017 dönemi
Harun Kaya, İsmail Çelik
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Comparing the bias and misspecification in ARFIMA models [PDF]
Journal of Time Series Analysis, 1997 We investigate the bias in both the short‐term and long‐term parameters for a range of autoregressive fractional integrated moving‐average (ARFIMA) models using both semi‐parametric and maximum likelihood (ML) estimation methods. The results suggest that, provided the correct model is estimated, the ML method outperforms the semi‐parametric methods in ...
Smith, Jeremy +2 more
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Forecasting energy futures volatility based on the unbiased extreme value volatility estimator
IIMB Management Review, 2017 This paper uses the opening, high, low, and closing prices of five energy futures to estimate and model volatility based on the unbiased extreme value volatility estimator (the Add RS estimator).
Dilip Kumar
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Australian Economic Papers, EarlyView.ABSTRACT This study examines volatility interconnectedness among selected agricultural commodities and precious/industrial metals, together with oil price uncertainty and global supply chain pressure, over the period January 1998 to June 2024 using a Quantile‐on‐Quantile connectedness framework.
Muhammed Benli, Halil Altıntaş
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