This paper examines the Impact of inflation on financial sector development in Nigeria using quarterly data from 2002-2017. Financial sector development is proxied using money supply as a share of GDP (M2/GDP).The Auto-Regressive Distributive lag (ARDL) model is employed to carry out the estimation given the weakness of the Engle-Granger residual-based cointegration technique to test the long-run and short-run effects of the impacts of inflation on financial sector development. The results of the estimation reveal that there is a positive and statistically significant relationship between inflation and financial sector development in Nigeria. There is need to test for threshold effects of inflation on financial development in Nigeria.
PurposeThis paper is focused on determining the asymmetric effects of exchange rate on money demand function in Nigeria.Design/methodology/approachIt employs the empirical model of Baumol–Tobin. Baumol (1952), which was founded on the opportunity and transaction cost of holding money. Monetary aggregates, M1, M2 and M3, are used for the real money balances based on the nonlinear Autoregressive Distributed Lag bound testing procedure.FindingsThe results indicate that the positive and negative partial sum of exchange rate changes differ in magnitude and size, supporting the hypothesis of asymmetric effects of exchange rate changes on the demand for money in Nigeria.Originality/valueThis is the first paper to consider the new broad money aggregate (M3).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.