This paper investigates the dynamic tail dependence risk between BRICS economies and the world energy market, in the context of the COVID-19 financial crisis of 2020, in order to determine optimal investment decisions based on risk metrics. For this purpose, we employ a combination of novel...

This paper studies the trade linkages between South Africa and the BRIC (Brazil, Russia, India, and China) countries. We apply a global vector autoregressive model (global VAR) to investigate the degree of trade linkages and shock transmission between South Africa and the BRIC countries over the...

This study examines the impact of ChinaÂ’s dominant position among the BRIS countries, namely Brazil, Russia, India and South Africa. Particularly, by using a dynamic factor model estimated over the period 1995Q2-2009Q4, it investigates how supply and demand shocks from China are transmitted...

This paper investigates the co-movement of business cycles between South Africa and the other BRICS countries namely, Brazil, Russia, India, and China, the so-called BRICs. In particular, it identi.es the nature and key features of the co-movement of cycles of South African economy with cycles...

This paper studies the trade linkages between South Africa and the BRIC (Brazil, Russia, India and China) countries. We apply a global vector autoregressive model (global VAR) to investigate the degree of trade linkages and shock transmission between South Africa and the BRIC countries over the...

This paper investigates the dynamic tail dependence risk between BRICS economies and the world energy market, in the context of the COVID-19 financial crisis of 2020, in order to determine optimal investment decisions based on risk metrics. For this purpose, we employ a combination of novel...