Results 51 to 60 of about 234,828 (176)
Daily Emissions of CO2 in the World: A Fractional Integration Approach
In this article, daily CO2 emissions for the years 2019–2022 are examined using fractional integration for Brazil, China, EU-27 (and the UK), India, and the USA.
Luis Alberiko Gil-Alana, Carlos Poza
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On the properties of the Dickey-Pantula test against fractional alternatives [PDF]
The limit properties of the testing sequence underlying the Dickey-Pantula test for a double unit root in a time series are derived when the true data generating process is assumed to be nonstationary fractionally integrated ...
Juan J. Dolado +3 more
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On the Efficacy of ARFIMA, ARTFIMA, and MARFIMA Models in Forecasting Nigerian Crude Oil Prices
This 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
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Generalized exponential time differencing methods for fractional order problems
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Roberto Garrappa, Marina Popolizio
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Fractional Integration and Structural Breaks in Italian Real House Prices
The primary goal of this paper is to analyse the Italian real house price index (RHPI). Classical approaches typically assume either stationarity or unit-root nonstationarity.
Maria Pia Sangiovanni +2 more
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When investigating fractal phenomena, the following questions are fundamental for the applied researcher: (1) What are essential statistical properties of 1/f noise? (2) Which estimators are available for measuring fractality?
Tatjana eStadnitski
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A Recursive Algorithm For Fractionally Differencing Long Data Series
We propose a recursive algorithm to fractionally difference time series data. The algorithm eliminates the need to evaluate the gamma function directly, and hence avoids the overflow problem that arises when fractionally differencing a long data series. The proposed algorithm can be implemented using any general matrix programming language.
Joseph McCarthy +2 more
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Fractional integration and the volatility of UK interest rates [PDF]
Using fractional integration and GARCH modeling techniques, this paper investigates the dynamic properties of UK interest rates. We find evidence that, contrary to previous studies for the US and Canada, short rates are more nonstationary compared to ...
Simeon Coleman, Kavita Sirichand
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Stationarity is a fundamental assumption in time series modeling that underlies reliable statistical inference and forecasting. Time series data can be found in many domains, including industry, engineering, finance, economics, epidemiology, and health ...
Apollinaire BATOURE BAMANA +3 more
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Detection Test for Periodic Signals Revisited Against Various Stochastic Models
Appropriate noise background should be taken into account when searching for the periodic or quasi-periodic oscillation buried in red noise. Null hypothesis assuming a conventional first-order autoregressive (AR(1)) process may lead to misleading ...
Chang Xu
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