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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Modelling Volatility Of The Exchange Rate Of The Naira To Major Currencies, Reuben O. David, Hussaini G. Dikko, Shehu U. Gulumbe
Modelling Volatility Of The Exchange Rate Of The Naira To Major Currencies, Reuben O. David, Hussaini G. Dikko, Shehu U. Gulumbe
CBN Journal of Applied Statistics (JAS)
The exchange rate between the Naira and other currencies has continued to witness variability with depreciation. This variability makes it difficult to predict returns. Against this background, this paper examines the naira exchange rate vis-a-vis four other currencies. The impact of exogenous variables in modelling volatility is considered using both the GARCH (1,1) and its asymmetric variants. Three of the four returns series showed heteroscedasticity. The results of the fitted models indicate that the majority of the parameters are significant and that volatility is quite persistent. Furthermore, the results of the asymmetric model indicate different impacts for both negative and …
Empirical Model For Forecasting Exchange Rate Dynamics: The Go-Garch Approach, Godknows Isenah, Olusanya E. Olubusoye
Empirical Model For Forecasting Exchange Rate Dynamics: The Go-Garch Approach, Godknows Isenah, Olusanya E. Olubusoye
CBN Journal of Applied Statistics (JAS)
The study aimed at determining a set of superior generalized orthogonal-GARCH (GO-GARCH) models for forecasting time-varying conditional correlations and variances of five foreign exchange rates vis-à-vis the Nigerian Naira. Daily data covering the period 02/01/2009 to 19/03/2015 was used, and four estimators of the GO-GARCH model were considered for fitting the models. Forecast performance tests were conducted using the Diebold-Mariano (DM) and the model confidence set (MCS) tests procedures. The DM test indicates preference for the GO-GARCH model estimated with nonlinear least squares (NLS) estimator – denoted as GOGARCH-NLS, while the MCS test determined a set of superior models (SSM) …
Analysing Oil Price- Macroeconomic Volatility In Nigeria, Alhassan Abdulkareem, Kilishi A. Abdulkareem
Analysing Oil Price- Macroeconomic Volatility In Nigeria, Alhassan Abdulkareem, Kilishi A. Abdulkareem
CBN Journal of Applied Statistics (JAS)
This study provides analytical insight on modelling macroeconomic and oil price volatility in Nigeria. Mainly, the paper employed GARCH model and its variants (GARCH-M, EGARCH and TGARCH) with daily, monthly and quarterly data. The findings reveal that: all the macroeconomic variables considered (real gross domestic product, interest rate, exchange rate and oil price) are highly volatile; the asymmetric models (TGARCH and EGARCH) outperform the symmetric models (GARCH (1 1) and GARCH – M); and oil price is a major source of macroeconomic volatility in Nigeria. By implication, the Nigerian economy is vulnerable to both internal shocks (interest rate volatility, real …
Day-Of-The-Week Anomaly: An Illusion Or A Reality? Evidence From Naira/Dollar Exchange Rates, Osarumwense Osabuohien-Irabor
Day-Of-The-Week Anomaly: An Illusion Or A Reality? Evidence From Naira/Dollar Exchange Rates, Osarumwense Osabuohien-Irabor
CBN Journal of Applied Statistics (JAS)
This study examines the day-of-the-week effect in the Nigerian foreign exchange market (Naira against the US dollars), its volatility as well as the asymmetric effects, for the period of 12th May 2009 to 12th June, 2015. The empirical results of GARCH-t(1,1), EGARCH-t(1,1), GJR-GARCH-t(1,1), IGARCH and the OLS methodology shows that the detection of the day-of-the-week effect is influenced by the choice of the volatility model applied. Similarly, the highest or lowest volatility market day goes with the influence of these models. Thus this study clearly support the argument of Charles (2010), that, the days of the week anomalies lies on …