Measuring the dynamics of COMESA output connectedness with the global economy

Analysis of output and output volatility connectedness of Nigeria, USA, China and India: new empirical insights from the global financial crisis versus 2016 Nigerian recession

“…However, the roles of China and Brazil are noticeable and cannot be neglected; this is in confirmation of the two economies as a major emerging market forces. Other studies consistent with the findings of the foregoing are Dizioli et al (2016), Lakdawala and Singh (2019), Inoue et al (2015), Feldkircher and Korhonen (2014), Sznajderska (2019), Ogbuabor et al (2020, 2018, 2016), Antonakakis and Badinger (2016) and Bhattarai et al (2017).…”

“…These findings reveal that Nigerian economy is more responsive and exposed to external shocks originating from the economic activities of China, India and the USA due to the degree of her linkage and connectedness with these economies, mostly through trade interaction. Previous studies (Ogbuabor et al, 2016(Ogbuabor et al, , 2018(Ogbuabor et al, , 2020Katusiime, 2022;Orji et al, 2022Orji et al, , 2023 made interesting attempts in studies related to the present subject matter, with Orji et al (2022Orji et al ( , 2023 being very close. However, while studies by Ogbuabor et al (2016Ogbuabor et al ( , 2018Ogbuabor et al ( , 2020) concentrated on regional evidences (in and outside Africa), Katusiime (2022) focused on East African member economies.…”

“…Previous studies (Ogbuabor et al, 2016(Ogbuabor et al, , 2018(Ogbuabor et al, , 2020Katusiime, 2022;Orji et al, 2022Orji et al, , 2023 made interesting attempts in studies related to the present subject matter, with Orji et al (2022Orji et al ( , 2023 being very close. However, while studies by Ogbuabor et al (2016Ogbuabor et al ( , 2018Ogbuabor et al ( , 2020) concentrated on regional evidences (in and outside Africa), Katusiime (2022) focused on East African member economies. Orji et al (2022Orji et al ( , 2023 have the exact same number of countries as ours here but focused more on the dependence and influence among the economies.…”

“…The estimation technique for the research objective is the modified network approach of Diebold and Yilmaz (2009) based on the GFEVD credited to Koop et al (1996) and Pesaran and Shin (1998) of the vector autoregression (VAR) model. Studies such as Diebold and Yilmaz (2012, 2015), Ogbuabor et al (2016, 2020, 2018), Cashin et al (2017), Feldkircher and Korhonen (2014), Backé et al (2013), Cesa-Bianchi et al (2012) and Inoue et al (2015) employed this approach. This approach has been widely applied in the literature modeling economic interlinkages as ours by the enlisted authors because of its reliability and superiority over similar models such as generalized autoregressive conditional heteroscedasticity (GARCH/ARCH), Ganger Causality and Conditional Correlation.…”

Evaluation of the Accuracy of Machine Learning Predictions of the Czech Republic’s Exports to the China

“…Factors influencing the volume of exports of any state usually include foreign demand, domestic and foreign price levels, and exchange rates. According to Ogbuabor (2019), the economy of the CR has been strongly influenced by neighbouring countries, such as Germany, Austria and Poland, since the recession in the years 2012/2013. In recent years, however, the USA has also begun to have an effect on the economy of the CR.…”