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Return and volatility spillovers between Nigeria and selected stock markets: Evidence from a diagonal BEKK-AMGARCH model

Authors: Karimo, Tari Moses; Ochoche, Abraham; Atoi, Ngozi Victor;

Return and volatility spillovers between Nigeria and selected stock markets: Evidence from a diagonal BEKK-AMGARCH model

Abstract

The study examines returns spillover, shock, and volatility transmission between Nigeria and selected global stock markets over the period January 2000 to August 2021 using a diagonal BEKK-AMGARCH model. Results show that the Nigerian stock market exhibits characteristics of inefficiency, as investors could consistently make gains higher than the market average. Also, the study observes a positive return transmission between Japan and Nigeria only, suggesting that, investors could benefit from diversification into Nigeria and Japan markets. Except for China and Hong Kong, volatility is relatively more sensitive to bad news indicating that negative information shock heightens market risk more than positive shock due to increased trading activities arising from speculation. The policy implication is that the Nigerian market is less developed and requires improvement in infrastructure/institution to become more developed and integrated to the rest of the world. Also, investors can hedge against loss in Japan by diversifying into Nigeria.

Keywords

Return, spillover, ddc:330, G14, G15, transmission, volatility, information shock, stock market

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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