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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 …
Do Survey-Based Expectations Mimic Inflation In Nigeria?, Ibrahim Adamu
Do Survey-Based Expectations Mimic Inflation In Nigeria?, Ibrahim Adamu
CBN Journal of Applied Statistics (JAS)
Survey-based expectations are mostly used by monetary authorities for inflation forecasts and evaluation of the credibility of their inflation fighting policies. It is also an important link in the monetary policy transmission mechanism. This study examined the predictive ability of business expectations survey (BES) inflation index on movements of inflation as well as the relationship between BES indicators and selected macroeconomic indicators in Nigeria. The study employed the modified Kaminsky-Reinhart (KLR) Signal Approach, correlation and trend analyses. The results of the modified KLR approach showed that BES inflation index predicts inflation rate only between 5 to 20 per cent threshold, …
Consumer Confidence Indicators And Economic Fluctuations In Nigeria, Adamu Ibrahim, Sani Bawa, Ismaila S. Abdullahi, Chizoba E. Didigu, Sani S. Mainasara
Consumer Confidence Indicators And Economic Fluctuations In Nigeria, Adamu Ibrahim, Sani Bawa, Ismaila S. Abdullahi, Chizoba E. Didigu, Sani S. Mainasara
CBN Journal of Applied Statistics (JAS)
Consumer confidence indicators(CCI) serve as a veritable tool for providing useful information to policy makers, forecasters and the general public. Recent studies indicated the possibility of a slowdown in output, resulting from the pessimism of consumers in their expectations about the general state of the economy, even if their pessimism were not based on economic fundamentals. This study evaluated the predictive ability of the CCI in forecasting economic fluctuations in Nigeria. The study applied the Granger Causality tests, impulse response functions and forecast error variance decomposition to assess if CCI granger causes output growth as well as ascertain the magnitude …
Forecasting Nigerian Stock Market Returns Using Arima And Artificial Neural Network Models, Godknows M. Isenah, Olusanya E. Olubusoye
Forecasting Nigerian Stock Market Returns Using Arima And Artificial Neural Network Models, Godknows M. Isenah, Olusanya E. Olubusoye
CBN Journal of Applied Statistics (JAS)
The study reports empirical evidence that artificial neural network based models are applicable to forecasting of stock market returns. The Nigerian stock market logarithmic returns time series was tested for the presence of memory using the Hurst coefficient before the models were trained. The test showed that the logarithmic returns process is not a random walk and that the Nigerian stock market is not efficient. Two artificial neural network based models were developed in the study. These networks are TECH (4-3-1) and TECH (3-3-1)whose out-of-sample forecast performance was compared with a baseline ARIMA (3,0,1) model. The results obtained in the …
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 …