Results 91 to 100 of about 4,943 (215)
Coal consumption forecast based on fractional ARIMA model
The consumption of coal is very complex, and the forecast and analysis of coal consumption can provide reference for rational arrangement of coal production.The usual prediction is based on the ARMA or ARIMA model, which neither consider its long-term ...
Liu Kai, Zhang Xi
doaj +1 more source
Measuring core inflation in the euro area [PDF]
We propose a measure of core inflation which is derived from a Markov switching ARFIMA model. The Markov switching ARFIMA model generalises the standard ARFIMA model allowing mean reversion to take place with respect to a changing unconditional mean.
Morana, Claudio
core
This study establishes the efficiency of the maintenance workforce in a process plant, utilising combined models, including artificial neural networks (ANN)-weighted aggregated sum product assessment (WASPAS) and ANN-fuzzy inference system (FIS)-WASPAS.
Sunday Ayoola Oke +1 more
doaj
Stock market volatility simulation with the LSTM neural network
Introduction. Stock market volatility simulation and forecast are relevant issues which could contribute into lower risks and higher revenues of the market transactions.
Dmitry Aleksandrovich Patlasov +1 more
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Estimating the Degree of Integration in CPI with ARFIMA-FIGARCH Model: Case study of Iran [PDF]
The study of the effect of memory in different economic indices, especially inflation and money market, has high research attractiveness. In this paper, by using the data of consumer price index for Iran during 1990/04 – 2011/11, we investigate the ...
Hossein Abbasinejad +1 more
doaj
A guide to Whittle maximum likelihood estimator in MATLAB. [PDF]
Roume C.
europepmc +1 more source
A Mixture Multiplicative Error Model for Realized Volatility [PDF]
A multiplicative error model with time-varying parameters and an error term following a mixture of gamma distributions is introduced. The model is fitted to the daily realized volatility series of Deutschemark/Dollar and Yen/Dollar returns and is shown ...
Markku Lanne
core
Higher-Order Improvements of the Sieve Bootstrap for Fractionally Integrated Processes [PDF]
This paper investigates the accuracy of bootstrap-based inference in the case of long memory fractionally integrated processes. The re-sampling method is based on the semi-parametric sieve approach, whereby the dynamics in the process used to produce the
Grose, Simone D. +2 more
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This paper presents a new test for the fractional differencing parameter of an ARFIMA model, based on an autoregressive approximation of its short-range component.
Castaño Elkin +2 more
doaj
Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models [PDF]
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory ...
Kaizoji, Taisei, Lux, Thomas
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