Date: 2011
Type: Contribution to book

A MEM analysis of African financial markets

Salvatore INGRASSIA, Roberto ROCCI and Maurizio VICHI (eds), New perspectives in statistical modeling and data analysis : proceedings of the 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, September 9-11, 2009, Berlin ; London : Springer-Verlag, 2011, Studies in classification, data analysis, and knowledge organization, pp. 319-328  
 
GIOVANNETTI, Giorgia, VELUCCHI, Margherita, A MEM analysis of African financial markets, in Salvatore INGRASSIA, Roberto ROCCI and Maurizio VICHI (eds), New perspectives in statistical modeling and data analysis : proceedings of the 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, September 9-11, 2009, Berlin ; London : Springer-Verlag, 2011, Studies in classification, data analysis, and knowledge organization, pp. 319-328   - https://hdl.handle.net/1814/40242

Retrieved from Cadmus, EUI Research Repository

In the last few years, international institutions stressed the role of African financial markets to diversify investors’ risk. Focusing on the volatility of financial markets, this paper analyses the relationships between developed markets (US, UK and China) and some Sub-Saharian African (SSA) emerging markets (Kenya, Nigeria and South Africa) in the period 2004–2009 using a Multiplicative Error model (MEM). We model the dynamics of the volatility in one market including interactions from other markets, and we build a fully interdependent model. Results show that South Africa and China have a key role in all African markets, while the influence of the UK and the US is weaker. Developments in China turn out to be (fairly) independent of both UK and US markets. With the help of impulse-response functions, we show how recent turmoil hit African countries, increasing the fragility of their infant financial markets.
 
Additional information:  
Published online: 31 March 2011
Cadmus permanent link: https://hdl.handle.net/1814/40242
Full-text via DOI: 10.1007/978-3-642-11363-5_36
ISBN: 9783642113628; 3642113621
ISSN: 1431-8814

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