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Estimating And Forecasting The Impact Of Inflation On Economic Growth In Nigeria Using Threshold Analysis, David O.K. Okoroafor, Sesan O. Adeniji, Timilehin Olasehinde
Estimating And Forecasting The Impact Of Inflation On Economic Growth In Nigeria Using Threshold Analysis, David O.K. Okoroafor, Sesan O. Adeniji, Timilehin Olasehinde
CBN Journal of Applied Statistics (JAS)
This study examined the causal relationship between inflation and economic growth as well as estimating threshold and forecasting of inflation in Nigeria for the period of 1961 – 2016. The study employed Granger causality test, Autoregressive Distributed Lag (ARDL), Autoregressive Integrated Moving Average (ARIMA) and a multivariate time series Vector Autoregressive (VAR) models. Granger causality test result showed that inflation does not granger cause economic growth and neither does economic growth granger cause inflation during the period of study. Using broad money supply to GDP as control variable, an inflation threshold of 14% -15% both in the short run and …
Forecasting The Volatilities Of The Nigeria Stock Market Prices, Sikiru O. Ibrahim
Forecasting The Volatilities Of The Nigeria Stock Market Prices, Sikiru O. Ibrahim
CBN Journal of Applied Statistics (JAS)
The objective of this work is to assess and forecast the volatilities of prices on the Nigeria Stock Exchange. The ARCH family (ARCH, GARCH, TGARCH, EGARCH and PGARCH) and ARIMA models are used to assess and forecast volatilities in prices on the Nigeria stock market. The EGARCH model is found to be the most efficient for forecasting volatilities and has the capability to show the asymmetric effect. The assessment of volatilities in prices for 1985 to 2014 shows clustering, over the years. The forecasting performance shows the volatility in the Nigeria stock market to be on the increase for the …
On Time Series Modeling Of Nigeria’S External Reserves, Doguwa I. Sani, Sarah O. Alade
On Time Series Modeling Of Nigeria’S External Reserves, Doguwa I. Sani, Sarah O. Alade
CBN Journal of Applied Statistics (JAS)
This paper proposes three short-term forecasting models for the adjusted external reserves using the seasonal autoregressive integrated moving average (SARIMA), seasonal autoregressive integrated moving average with an exogenous input (SARIMA-X) and an autoregressive distributed lag (ARDL) processes. The performances of the proposed models are compared with the existing model obtained using an autoregressive integrated moving average (ARIMA) process using the pseudo-out-of-sample forecasting procedure over July 2013 to May 2014. The results show that SARIMA model outperformed the other models in three to six months forecast horizon, whereas ARDL model performs better in one to two months forecast horizon. Therefore, in …
Modeling And Forecasting Currency In Circulation For Liquidity Management In Nigeria, Alvan Ikoku
Modeling And Forecasting Currency In Circulation For Liquidity Management In Nigeria, Alvan Ikoku
CBN Journal of Applied Statistics (JAS)
This paper presents forecasts of currency in circulation prepared for liquidity management at the Central Bank of Nigeria. Forecasts were produced using ARIMA, ARIMA with structural variables, VAR and VEC models. The performance of the forecasts was then evaluated under a rolling forecast scenario, where the estimation sample is augmented by one observation and the forecast sample is brought forward. The evaluation of the forecasts was based on average performance over a number of rolling forecasts. We found that the most accurate models were mixed models with structural as well as ARIMA components, augmented by seasonal and dummy variables. We …