- Tytuł:
- Time Series ARIMA Model for Predicting Nigeria Net Foreign Direct Investment (FDI)
- Autorzy:
-
Akpensuen, Shiaondo Henry
Edeghagba, Eghosa Elijah
Alhaji, Abdullahi Gwani
Joel, Simon - Powiązania:
- https://bibliotekanauki.pl/articles/1059523.pdf
- Data publikacji:
- 2019
- Wydawca:
- Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
- Tematy:
-
ADF
ARIMA
Forecasting
Foreign Direct Investment
Nigeria - Opis:
- This paper presents an empirical study of modelling and forecasting time series data of Nigeria net foreign direct investment (FDI). The Box-Jenkins ARIMA methodology was used for forecasting the yearly data collected from 1972 to 2018. Result of the analysis revealed that the series became stationary at first difference. The diagnostic checking has shown that ARIMA (1, 1, 2) is appropriate or optimal model based on the Akaike’s Information Criterion (AIC), the Bayesian Information Criterion (BIC) and Hannan Quinn criterion (HQ). A twenty (20) year forecast was made from 2019-2039, the result of the forecast showed that the net FDI in Nigeria will continue to grow in the period forecasted. These forecasts will help policy makers in Nigeria to sustain their efforts to expand the tax base, reduce red tape, and strengthen the regulatory framework to investment and also investors friendly policies in order to attract the much needed FDI.
- Źródło:
-
World Scientific News; 2019, 128, 2; 348-362
2392-2192 - Pojawia się w:
- World Scientific News
- Dostawca treści:
- Biblioteka Nauki
Artykuł