Long Memory and Volatility Models in Forecasting Exchange Rate of Nigerian Naira to United State Dollar
نویسندگان
چکیده
Financial time series such as stock prices, inflation rates, interest and exchange rates are known to exhibit upward downward trend often possesses long memory volatility behavior. These behaviors crucial in the analysis, modeling forecasting of data. Unfortunately, many analysts don’t take into consideration consequences while financial Therefore, this paper intends examine effect Exchange Rate Nigerian Naira-United State Dollar. The data used for study is obtained from Central Bank Nigeria’s website period January 2002 Feb 2020. Observations Autocorrelation function (ACF) plot shows that was not stationary. This confirmed by Augmented Dickey Fuller (ADF) Kwiatkowski-Phillips-Schmidt-Shin (KPSS) unit root tests on datasets. Fractional differencing transform ARFIMA(1,d,1) ARFIMA(1,d,2) models were selected using AIC criterion. However, residuals these found be serially correlated heteroscedastic. problems led combining ARFIMA with GARCH model order adequately simultaneously. Therefore combined GARCH(1,1) form ARFIMA(1,d,1)-GARCH(1,1) ARFIMA(1,d,2)- GARCH(1,1). results forecast performance indicate best ARFIMA(1,d,2)–
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ژورنال
عنوان ژورنال: Dutse Journal of Pure and Applied Sciences
سال: 2023
ISSN: ['2476-8316', '2635-3490']
DOI: https://doi.org/10.4314/dujopas.v9i2b.3