Forecasting Time Series with Long Memory and Level Shifts, A Bayesian Approach [PDF]
Recent studies have showed that it is troublesome, in practice, to distinguish between long memory and nonlinear processes. Therefore, it is of obvious interest to try to capture both features of long memory and non-linearity into a single time series ...
Silvestro Di Sanzo
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Temporal Structure in Sensorimotor Variability: A Stable Trait, But What For? [PDF]
Comput Brain Behav, 2023 Perquin MN +3 more
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Sèries temporals amb memòria llarga: models ARFIMA
, 2023 Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023 , Director: Josep Vives i Santa ...
openaire +1 more source
Analysing CPI inflation by the fractionally integrated ARFIMA-STVGARCH model [PDF]
The aim of this paper is to study the dynamic evolution of inflation rate. The model is constructed by extending the ARFIMA-GARCH to ARFIMA with a time varying GARCH model where the transition from one regime to another is evolving smoothly over time. We
Imene Mootamri +2 more
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Pandemic episodes, CO2 emissions and global temperatures. [PDF]
Theor Appl Climatol, 2022 Monge M, Gil-Alana LA.
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The Forecast Performance of Long Memory and Markov Switching Models [PDF]
Recent research has focused on the links between long memory and structural change, stressing the long memory properties that may arise in models with parameter changes. In this paper, we contribute to this research by comparing the forecasting abilities
Luis F. Martins, Vasco J. Gabriel
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Forecasting commodity prices: empirical evidence using deep learning tools. [PDF]
Ann Oper Res, 2023 Ben Ameur H +4 more
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Forecasting Realized Volatility Using A Nonnegative Semiparametric Model [PDF]
This paper introduces a parsimonious and yet flexible nonnegative semiparametric model to forecast financial volatility. The new model extends the linear nonnegative autoregressive model of Barndorff-Nielsen & Shephard (2001) and Nielsen & Shephard (2003)
Anders Eriksson, Daniel Preve, Jun Yu
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Long Memory Persistence in the Factor of Implied Volatility Dynamics [PDF]
The volatility implied by observed market prices as a function of the strike and time to maturity form an Implied Volatility Surface (IV S). Practical applications require reducing the dimension and characterize its dynamics through a small number of ...
Julius Mungo, Wolfgang Härdle
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On the relationship between Bitcoin and other assets during the outbreak of coronavirus: Evidence from fractional cointegration analysis. [PDF]
Resour Policy, 2022 Bejaoui A, Mgadmi N, Moussa W.
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