Modeling Long Memory Volatilities of Nigeria Selected Macro Economic Variables with Arfima and Arfima Figarch
Abstract
Keywords
: Volatilities, Long Memory, Macroeconomic variables, Arfima Figarch
References
- [1] Adewole A.I., Statistical Modelling and Forecasting of Temperature and Rainfall in Ijebu Ode Nigeria Using SARIMA, FNAS Journal of Scientific Innovations, 5(2) (2023) 55-68.
- [2] Baillie R.T., Bollerslev T., and Mikkelsen H.O., Fractionally integrated generalized autoregressive conditional Heteroskedasticity, Journal of Econometrics, 74 (1996) 3–30.
- [3] Beran J., Statistics for Long-Memory Processes, Chapman and Hall Publishing Inc., New York, (1995).
- [4] Granger C.W.J., Joyeux R., an Introduction to Long-Memory Time Series Models and Fractional Differencing, Journal of Time Series Analysis, 1 (1980) 15-29.
- [5] Hosking J.R.M., Fractional Differencing, Biometrika, 68 (1981) 165-176.
- [6] Robinson P.M., Log-periodogram regression of time-series with long-range dependence, The Annals of Statistics, 23 (1995) 1048–1072.
- [7] Paul R.K., Gurung B., Paul A.K., Modelling and Forecasting of Retail Price of Arhar Dal in Karnal, Haryana, Indian Journal of Agricultural Science, 85(1) (2015a) 69-72.
- [8] Engle R.F. Autoregressive conditional heteroscedasticity with estimates of the Variance of U.K. inflation, Econometrica, 50 (1982) 987-1008.
- [9] Bollerslev T., Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 31 (1986) 307-327.
- [10] Taylor S. J., Modeling Financial Time Series, New York, Wiley, (1986).