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Reactions Of Stock Market To Monetary Policy Shocks During The Global Financial Crisis: The Nigerian Case, Aliyu Shehu U.R.
Reactions Of Stock Market To Monetary Policy Shocks During The Global Financial Crisis: The Nigerian Case, Aliyu Shehu U.R.
CBN Journal of Applied Statistics (JAS)
This paper seeks to assess the reactions of Nigeria’s stock market to monetary policy innovations during the period of global financial crisis on the basis of monthly data over the period January, 2007 to August, 2011. In particular, stock market return was regressed against major monetary policy instruments; money stock (M1, and M2) and monetary policy rate (MPR). The theoretical basis for the paper stems from the works of new classical macroeconomics and rational expectation hypothesis (REH). Lucas (1972) postulated that only the unanticipated monetary shock influences real economic activity. Using the GARCH by developed Engle and Bollerslev (1986) and …
Inflation And Inflation Uncertainty In Nigeria: A Test Of The Friedman’S Hypothesis, Muhammad A. Abamanga, Umar Musa, Audu Salihu, Ubong S. Udoette, Valli T. Adejo, Offiong N. Edem, Hyariju Bukar, Chidinma T. Udechukwu-Peterclaver
Inflation And Inflation Uncertainty In Nigeria: A Test Of The Friedman’S Hypothesis, Muhammad A. Abamanga, Umar Musa, Audu Salihu, Ubong S. Udoette, Valli T. Adejo, Offiong N. Edem, Hyariju Bukar, Chidinma T. Udechukwu-Peterclaver
CBN Journal of Applied Statistics (JAS)
This paper examines the relationship between inflation and inflation uncertainty in Nigeria. It attempts to test whether the Friedman’s hypothesis – that a rise in the average rate of inflation leads to more uncertainty about future rate of inflation - holds for the country. The monthly inflation data spanning the period 1960:1 to 2014:07 was used. Inflation uncertainty was modeled as a time varying process using a GARCH framework. Exponential Generalized Autoregressive Heteroscedasticity (EGARCH) complemented by seasonal ARIMA (2, 0, 2) (0, 0, 1) was employed to model the inflation uncertainty. Given that inflation series display structural breaks, this was …
Testing Volatility In Nigeria Stock Market Using Garch Models, Ngozi V. Atoi
Testing Volatility In Nigeria Stock Market Using Garch Models, Ngozi V. Atoi
CBN Journal of Applied Statistics (JAS)
The contributions of error distributions have been ignored while modeling stock market volatility in Nigeria and studies have shown that the application of appropriate error distribution in volatility model enhances efficiency of the model. Using Nigeria All Share Index from January 2, 2008 to February 11, 2013, this study estimates first order symmetric and asymmetric volatility models each in Normal, Student’s-t and generalized error distributions with the view to selecting the best forecasting volatility model with the most appropriate error distribution. The results suggest the presence of leverage effect meaning that volatility responds more to bad news than it does …