Cumhuriyet Science JournalThe research delved into analysing the stochastic characteristics of Nigeria's Real GDP, the exchange rate of the Naira to US Dollar, and the inflation rate employing Autoregressive fractionally integrated moving average (ARFIMA) and the Autoregressive ...
Ayoade Adewole
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A Study of Nigeria Monthly Stock Price Index Using ARTFIMA-FIGARCH Hybrid Model
UMYU Scientifica Journal, 2023 Long memory is a phenomenon in time series analysis that is exhibited by a slow decay of the autocorrelation function. It has been observed that the presence of long memory in both mean and volatility can complicate model fitting and compromise ...
A G Umar, H G Dikko, J Garba, M Tasi’u
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INTERNATIONAL TOURISTS’ EXPENDITURES IN THAILAND: A MODELLING OF THE ARFIMA-FIGARCH APPROACH [PDF]
Annals of the University of Petrosani: Economics, 2010 Forecasting is an essential analytical tool for tourism policy andplanning. This paper focuses on forecasting methods based on ARFIMA(p,d,q)-FIGARCH(p,d,q).
KANCHANA CHOKETHAWORN +5 more
doaj
INTERNATIONAL TOURIST ARRIVALS IN THAILAND: FORECASTING WITH ARFIMA-FIGARCH APPROACH [PDF]
Annals of the University of Petrosani: Economics, 2010 Forecasting is an essential analytical tool for tourism policy andplanning. This paper focuses on forecasting methods based on ARFIMA(p,d,q)-FIGARCH(p,d,q).
KANCHANA CHOKETHAWORN +5 more
doaj
THE IMPACT OF THE FINANCIAL CRISIS ON LONG MEMORY: EVIDENCE FROM EUROPEAN BANKING INDICES [PDF]
Annals of the University of Oradea: Economic Science, 2014 We have analyzed the impact of the financial crisis on the existence of the long term dependency for European banking indices. By estimating Hurst Exponent, ARFIMA and FIGARCH models we found that major financial crisis such as, Mexican, Asian and ...
Pece Andreea Maria +3 more
doaj
Comparing the accuracy of the model Meta heuristic and Econometric in forecasting of financial time series with long-term memory (Case Study, Stock Index of Cement Industry in Iran) [PDF]
تحقیقات مالی, 2011 Data with high frequency have a particular type of none stationary that is called fractional none stationary. This property causes the emergence of long-term memory in financial time series with high frequency. The existence of long-term memory in cement
Farnaz Barzinpour +3 more
doaj
The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets. [PDF]
Chaos Solitons Fractals, 2021 Lahmiri S, Bekiros S.
europepmc +1 more source
Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008-2019). [PDF]
SN Bus Econ, 2022 Vogl M.
europepmc +1 more source
Short-term effect of COVID-19 pandemic on cryptocurrency markets: A DCC-GARCH model analysis. [PDF]
Heliyon, 2023 Ben-Ahmed K, Theiri S, Kasraoui N.
europepmc +1 more source
Is Bitcoin's Carbon Footprint Persistent? Multifractal Evidence and Policy Implications. [PDF]
Entropy (Basel), 2022 Ghosh B, Bouri E.
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