Ismail Olaleke Fasanya, Oluwatomisin Oyewole and Taofeek Agbatogun
This paper examines the return and volatility spillovers of different sectoral stock prices in Nigeria using monthly data from January 2007 to December 2016. We employ the Diebold and Yilmaz (2012) spillover approach and rolling sample analysis to capture the inherent secular and cyclical movements in the sector stocks market.We show that there is substantial difference between the behaviour of the sectoral stock return and volatility spillover indices over time. We find evidence of interdependence among sector stocks given the spillover indices. While the return spillover index reveals increased integration among the sectoral stocks, the volatility spillover index experiences significant bursts during major market crises. Interestingly, return and volatility spillovers exhibit both trends and bursts respectively.
In this paper we examined the determinants of food price volatility in Nigeria using monthly data from January, 1997 to April, 2017. We employed the multivariate GARCH approach to evaluate the level of interdependence and the dynamics of volatility across these markets. In particular, the Baba-Engle-Kraft-Kroner (BEKK) model and the Dynamic Conditional Correlation (DCC) model were used for estimation. The findings showed that information shocks originating in Consumer Price Indices (CPI), lending rate, exchange rate and oil market have a direct effect on the current conditional volatility in food market while the information shocks originating in food have a direct effect on the current conditional volatility in all the markets considered except for oil. These results were insensitive to changes in data frequency and different oil price specification. Hence, the government should encourage the use of alternative sources of energy to reduce the effect of high oil prices on food prices and provide soft agricultural credit scheme to farmers with a low lending rate through specialized banks.