The study investigated the impact of international remittances on the Nigerian economy. The recent global surge in remittance flows and the twin consequences of migration and remittances on economic development have become contemporary topical issues. Thus the need to obtain evidence based information to drive policy formulation on the impact of remittances on the Nigerian economy. Following the behavioural pattern of the variables, we adopted Autoregressive Distributed Lagged model (ARDL) due to Pesaran and Shin [21] in the study. The result of the Auto Regressive Distributed Lagged (ARDL) model showed that international remittance inflow has positive and significant impact on the Nigerian economy. It further showed that there is a long run relationship between international remittances and the Nigerian economy. The ADF test suggested that the series in the model are random walk processes in their level form. The CUSUM and CUSUMSQ tests showed evidence of long run stability of the parameters of the model.

The study investigated the impact of capital flight on the economic development of Nigeria. Following the behavioural pattern of the variables on the basis of time series property test involving Augmented Dickey-Fuller (ADF), we adopted Autoregressive Distributed Lagged model (ARDL) due to Pesaran and Shin (1999) in the study. The result of the Auto Regressive Distributed Lagged (ARDL) model showed that capital flight has negative but significant impact on economic development. It further showed that programmes and policies in the economy in previous period also enhance the economic situation in the current period. The CUSUM and CUSUMSQ tests showed evidence of long run stability of the parameters of the model. We, therefore, made the following recommendations, among others: Government should take concerted steps to improve security of life and property in the country because security lapse is a threat to investment as well as business; the public resource managers should sincerely partner with anti-graft agencies to ensure that all the channels through which public office holders launder money abroad are stopped; besides, the international anti-corruption law should be implemented to reduce the quantum of launder money and efficient public finance management discipline should be adhered strictly.

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Motivated by the prevalence of misleading inference in time series occasioned by failure to account for structural breaks in series as volatile as oil price in Nigerian specific studies, this study sought to find out whether structural breaks matter in studying the response of inflation to oil price shocks. The study employed Zivot-Andrews unit root test with structural break to compare the unit root result with the conventional ADF result while the local projection impulse response function (LPIRF) was used to determine the response of inflation dynamics to oil price shocks in Nigeria from 1981 to 2016. The unit root test shows that failure to account for structural break in unit root of a volatile series can produce wrong inference. The LPIRF results suggestedthat inflation responds significantly to oil price shocks and that there exists a higher persistence level of oil price shocksin exchange rate than inflation. Furthermore, the counterfactual result conditioned on global oil market behavior shows that inflation responds significantly to oil price due to global oil market behavior.

Motivated by swings in the exchange rate of many developing economies which exert influence on firms? input costs, output, stock prices, and profits, the study investigated the asymmetric reactions of stock prices and industrial output to various shocks in the exchange rate in Nigeria using a multiple threshold nonlinear autoregressive distributed lag model and high frequency series from January 1999 to December 2021. Empirical results suggest that stock prices and industrial output react asymmetrically in the opposite direction to exchange rate depreciation. It further indicates that the reactions of both stock prices and industrial output to exchange rate changes are sensitive to the size of shocks. Exchange rate shocks above the 25th percentile significantly and inversely affect both stock prices and industrial output, and the effects of exchange rate shocks on stock prices and industrial output become pernicious if above the 75th percentile. The main economic implication of the empirical finding is that in the upper quantile, both exchange rate depreciation and appreciation hurt industrial output, and hence, stock values. Thus, the multiple threshold nonlinear autoregressive distributed lag results suggest that the reactions of both stock prices and industrial output to exchange rate changes are highly sensitive to the extent of the shocks.