Purpose The centrality of agricultural sector to the economy, particularly in developing countries, has drawn the attention of researchers to critically examine different factors determining the performance of the sector. Given that massive investment is required to ensure maximum productivity in the sector, one of the factors identified is the issue of financing. However, financing agricultural sector in a poor institutional environment can be depressing. In the light of this, the purpose of this paper is to examine the nexus between financial development and agricultural performance in Nigeria with a view to investigating the role of institutions. Design/methodology/approach The study employed annual data spanning the period from 1981 to 2016. Three indicators of financial development and five institutional variables were used. Besides, for robust analysis, the study also computed an aggregate measure of financial development and institutions using principal component method. Autoregressive distributed lag method of estimation was used to examine the short-run and long-run effects of financial development on agricultural performance in Nigeria. Findings The findings showed that financial development has a positive impact on agricultural performance in Nigeria. However, this positive impact is being undermined by institutional variables. Originality/value To the best of the authors’ knowledge, this is the only study that examines the mediating role of institutional factors such as the rule of law, control of corruption, etc., in the financial development–agricultural performance nexus in Nigeria.

Given the effects COVID-19 pandemic on the financial sectors across the world, this study examined the reaction of stock returns of 201 firms listed in the Nigerian Stock Exchange to the COVID-19 pandemic and lockdown policy. We deployed both Pooled OLS and Panel VAR as estimation methods. Generally, the results from POLS show the stock market returns of the Nigerian firms reacted negatively more to the global COVID-19 confirmed cases and deaths than the domestic COVID-19 confirmed cases and deaths and lockdown policy. The results of the impulse response functions revealed that the effects of COVID-19 confirmed cases and deaths and lockdown policy shocks on stock returns oscillate between negative and positive before the stock market returns converge to the equilibrium in the long run. The FEVD results showed that growth in the COVID-19 confirmed cases, deaths and lockdown policy shocks explained little variations in stock market returns. Given our finding, we advocate for the relaxation of policy of lockdown and the combine use of monetary and fiscal policies to mitigate the negative effect of COVID-19 pandemic on stock market returns in Nigeria.

The increasing unemployment in Nigeria has motivated several empirical studies on the causes of the problem in the country. However, attention has not been paid to the contribution of the changes in oil prices to the unemployment problem. As a net exporting oil country, a fluctuation in oil prices in the international market can have impact on economic growth and employment. In the light of this, we investigate the effect of changes in oil prices on unemployment rate in Nigeria, using real oil prices of Brent and West Texas International with linear and nonlinear autoregressive distributed lag (NARDL) estimation methods. Findings from linear ARDL show that changes in oil prices have little or no significant effects on unemployment rate. The NARDL results indicate that an increase and a decrease in oil prices have an insignificant positive effect on unemployment in the short run. However, in the long run, an increase in oil prices worsens unemployment situation, while a decrease has insignificant reducing effect. We also find evidence of a long-run asymmetric relationship between oil prices and unemployment. The need for government to invest oil revenues in generating more electricity or in providing alternative sources of energy with the objective to reduce the costs of production of firms is recommended.

This study presents a small macroeconometric model to forecast and simulate policy options for the Nigerian economy. The model consists of ten behavioural equations and five identities made up of ten endogenous variables and thirteen exogenous variables. Autoregressive distribution lag (ARDL) framework is used to estimate the behavioural equations using annual time-series data for the period 1981-2014. The predictive ability of the model is evaluated and found to be satisfactory as the mean absolute error (MAE), root mean square error (RMSE) and Theil inequality coefficient are considerably small. Policy simulations to quantify the impact of shocks to government expenditure, exchange rate and crude-oil price on the economy are analysed. The results shows that a positive shock in government expenditure raises aggregate output, total exports, total import, gross fixed capital formation, exchange rate, consumption, and inflation rate while interest rate falls; a negative shock to exchange rate has a negative effect on gross fixed capital formation and a positive effect on aggregate national output, consumer price level, interest rate, consumption, total export and total imports; and a negative shock in oil prices results in an increase in total imports, total exports, consumption, exchange rate, gross fixed capital formation and aggregate national output. Hence, the study recommends that the monetary authorities employ a managed-floating exchange rate to address the volatility in exchange rate and government should formulate and implement policies aimed at diversifying the economy to cushion the shocks that result from oil price volatility in the international market.

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