This paper explored the dynamics of monetary policy and its effect on private investment, using annual frequency data from 1981 to 2017. The paper employed autoregressive distributive lags methodology to estimate the link between private investment and some selected monetary indicators. Empirical finding shows that broad money supply increases private investment in the long run for the study area. Interestingly, our study shows inverse relationship between exchange rate and private investment. These findings are insightful for policymakers for strategic policy mix construction. Consequently, the study recommends, among other things, proper coordination of monetary and fiscal policies, good macroeconomic policies, proper channeling of financial resources to the private sector and proper measures for controlling inflation.

The study aims to examine the volatility transmission between the West Texas Intermediate (WTI) crude oil price returns and the U.S. stock market (S&P500 index) returns for the period 2006-2016. In the empirical analyses, univariate GARCH and multivariate GARCH (BEKK-GARCH) models are employed to investigate potential volatility spillover effect of crude oil price returns on the S&P500 index returns or vice versa. The results of GARCH methods reveal that (i) volatility spill-over effect of S&P500 index returns on the crude oil returns is more significant than the volatility spillover effect of crude oil on the S&P500 index returns by using univariate GARCH model; and (ii) there is a one way volatility spillover effect that runs from S&P500 index returns to crude oil returns when we apply multivariate BEKK-GARCH model. These findings have implications for in-vestors and oil-stock portfolio holders for their portfolio decisions in order to manage their risks on their international investments. Further, crude oil investment participants should consider the changes in U.S. stock market index returns in order to predict the expected volatility in the crude oil returns.

Information and Communications Technology (ICT) has played overwhelming roles in the economic and social development of nations and continents in the last two decades. This study aims to explore the impact of mobile telephone and broadband use on economic growth in G7 countries using annual data covering the period of 2000-2017. We performed Pedroni cointegration, Kao cointegration, fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and panel Granger causality tests to investigate the causal and long-run effects. The empirical findings reveal that (i) mobile telephone and broadband use contribute to economic growth in the long-run; (ii) changes in mobile telephone and broadband use significantly lead to a change in economic growth.

This study is targeted towards the explosive behavior of crypto-currencies, namely Bitcoin, Etherium, Litecoin and Ripple by investigating the crypto-currencies bubbles and the causal link between Bitcoin and other three crypto-currencies prices, using GSADF and wavelet coherence tests. The study aims to answer the following questions which have not been investigated in the literature to our best knowledge (i) Was there any bubble in the prices of Bitcoin, Etherium, Litecoin and Ripple and between 01.09.2016 and 01.04.2019? If yes, why (ii) was there any linkage between Bitcoin and Etherium, Litecoin and Ripple? Our findings reveal that (a) there were some bubbles in the crypto-currencies for the periods investigated; (b) there was a positive correlation between Bitcoin and Etherium, Litecoin and Ripple in the short-run; (c) changes in Bitcoin prices lead changes Etherium, Litecoin and Ripple prices in the long run at different periods.