Estimation and Prediction of Commodity Returns Using Long Memory Volatility Models
RisksModelling the volatility of commodity prices and creating more reliable models for estimating and forecasting commodity price returns are crucial.
Kisswell Basira +4 more
doaj +1 more source
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
core
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
core
Model-based stationarity filtering of long-term memory data applied to resting-state blood-oxygen-level-dependent signal. [PDF]
PLoS One, 2022 Bansal IR +4 more
europepmc +1 more source
Pandemic episodes, CO2 emissions and global temperatures. [PDF]
Theor Appl Climatol, 2022 Monge M, Gil-Alana LA.
europepmc +1 more source
Forecasting Italian Electricity Zonal Prices with Exogenous Variables [PDF]
In the last few years we have observed deregulation in electricity markets and an increasing interest of price dynamics has been developed especially to consider all stylized facts shown by spot prices.
Angelica Gianfreda, Luigi Grossi
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Forecasting the Romanian Unemployment Rate in Time of Health Crisis-A Univariate vs. Multivariate Time Series Approach. [PDF]
Int J Environ Res Public Health, 2021 Davidescu AA, Apostu SA, Marin A.
europepmc +1 more source
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
core
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.
europepmc +1 more source
ARFIMA model applied to Malaysian stock market
Communications in Mathematical Biology and Neuroscience, 2022 openaire +1 more source