This paper examines the causal relationship between renewable energy consumption and economic growth in four countries: Brazil, Germany, Japan, United States. Unlike previous papers, we control policy uncertainty’s effects to capture role of capabilities on energy-growth nexus. The recent Vector Autoregression (VAR)-based Granger-causality test Rossi-Wang shows a bidirectional Brazil Germany. T...

In this paper, the structural vector autoregression methodology is used to decompose the euro area nominal short-term interest rate into an expected inflation and an ex-ante real interest rate component. The latter may be a useful indicator of the monetary policy stance of the ECB. To this end, a vector autoregression model comprised of the differenced interest rate series and the stationary co...

Islamic financial instruments have been experiencing rapid growth in the last 50 years. Despite unique motivation formulating them, namely based on Syariah law, their movement might link to those of conventional ones. This paper is devoted investigating such interactions. It does so by applying two multivariate time series models estimate various instruments, both and The are VAR (Vector Autore...

This thesis is concerned with three questions: first, how can the effects macroeconomic policy has on the economy in general be estimated? Second, what are the effects of a pre-announced increase in government expenditures? Third, how should monetary policy be conducted, if the policymaker faces uncertainty about the economic environment. In the first chapter I suggest to estimate the effects o...

In this work, vector autoregression and neural network approach to multivariate time series analysis is presented. A autoregressive model multilayer perceptron with back-propagation, gradient descent algorithm have been designed the monthly average exchange rates of three international currencies respect naira. The span over period January, 2012 August, 2017. original were preprocessed smoothen...

It is important to effectively reduce carbon emissions and ensure the simultaneous adjustment of economic development environmental protection. Therefore, we used Kaya identity screen factors influencing conducted preliminary qualitative analyses, including grey relation analysis linear regression analysis, on variables establish a vector autoregression (VAR) model based their annual data empir...

We examine the effect of oil price uncertainty on sovereign credit risks in Gulf Cooperation Council (GCC) countries. Unlike past studies, we employ a structural vector autoregression with multivariate GARCH-in-mean (VAR-GARCH-in-mean) approach after filtering out outliers observed series. The findings show that market has positive impact Credit Default Swap (CDS) spreads GCC Furthermore, find ...

Evapotranspiration is one of the hydrological cycle’s most important elements in water management across economic sectors. Critical applications agriculture domain include irrigation practice improvement and efficiency, as well resource preservation. The main objective this research to forecast reference evapotranspiration using vector autoregression (VAR) model investigate meteorological varia...

It is well known that many countries around the world depend on the US as their major trade partner. As a result, if something does happen to US economy it surely will affect the economy of all these countries. In this study, we investigate the relationship between the US and four Asian emerging stock markets namely Hong Kong, India, South Korea and Malaysia using monthly data between 1996 and ...