Results 31 to 40 of about 4,760 (217)
Growth enterprise market in Hong Kong: Efficiency evolution and long memory in return and volatility [PDF]
Journal of Asian Business and Economic Studies, 2020 Purpose – Growth enterprise market (GEM) in Hong Kong is acknowledged as one of the world’s most successful examples of small and medium enterprise (SME) stock market.
Trang Nguyen +3 more
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Вестник Самарского университета: Естественнонаучная серия, 2023 For modeling in time series, models with fractional differences are widely used. The best known model is the ARFIMA (autoregressive fractionally integrated moving average) model.
Dmitriy V. Ivanov
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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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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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ARFIMA Modelling for Tectonic Earthquakes in The Maluku Region
Indonesian Journal of Statistics and Its Applications, 2021 Maluku Province is one of the regions in Indonesia with a very active and very prone earthquake intensity because it is a meeting place for 3 (three) plates, namely the Eurasian, Pacific and Australian plates. In the last 100 years, the history of tectonic earthquakes with tsunamis that occurred in Indonesia was 25-30% occurring in the Maluku Sea and ...
Ferry Kondo Lembang +2 more
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ARFIMA Model for Short Term Forecasting of New Death Cases COVID-19 [PDF]
E3S 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
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Time-varying persistence in US inflation [PDF]
, 2016 The persistence property of inflation is an important issue not only for economists, but especially for central banks, given that the degree of inflation persistence determines the extent to which central banks can control inflation. Further, not only is
Caporin, Massimiliano, Gupta, Rangan
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Revista de Economia e Sociologia Rural, 2007 O presente trabalho tem como objetivo modelar séries temporais para efeito de previsão com diferenciações inteira e fracionária, utilizando dados de preços futuros de commodities agrícolas.
Ricardo Chaves Lima +2 more
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Analisis Kejadian Gempa Bumi Tektonik di Wilayah Pulau Sumatera
Jurnal Matematika, 2016 The purpose of this study to get an overview of the earthquakes in Sumatra. The method used is descriptive statistics and models Autoregressive Fractionally Integrated Moving Average (ARFIMA). The result from analysis data yielded a mathematical model to
Jose Rizal +3 more
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A brief history of long memory: Hurst, Mandelbrot and the road to ARFIMA [PDF]
, 2016 Long memory plays an important role in many fields by determining the behaviour and predictability of systems; for instance, climate, hydrology, finance, networks and DNA sequencing.
Franzke, Christian +3 more
core +3 more sources