<abstract xmlns="http://www.w3.org/1999/xhtml">

<bold>Aim/purpose</bold> – Owing to the huge risk occasioned by negative contagion effects associated with financial market linkages, markets participants and academia have continued to examine the capital market cross country interdependence at different levels. In this paper, we examined the causal relationships among the U.S., China and some top African capital market indexes.
<bold>Design/methodology/approach</bold> – To examine the mean and variance causal effects, we estimated a univariate AR-EGARCH model for all capital market indexes. Then employed the residual-based two-step bivariate cross-correlation function (CCF) test developed by Cheung &amp; Ng (1996). The test statistics had a well-defined asymptotic standard distribution that was robust to distributional assumptions.
<bold>Findings</bold> – We detected both the feedback and unidirectional causality effects among African capital markets. These results show that African financial markets are still not fully integrated within the African continent. Expectedly, the results from our empirical analysis showed the existence of a unidirectional causality both in mean and variance from the U.S. and Chinese markets to African capital markets. This demonstrated that events in the U.S. and China are not irrelevant to African markets.
<bold>Research implications</bold> – Owing to the fact that knowledge of other financial markets provides adequate information about a market situation, the results from this research paper will be helpful for the policymakers of African countries in shaping their economic policies, help investors diversify investments with less risk, and international portfolio managers make portfolio allocation decisions.
<bold>Originality/value/contribution</bold> – This paper examined the mean and risk dynamics of three top African, the U.S., and Chinese capital markets with their inter-dependence using the CCF approach. Furthermore, to the best of our knowledge, no previous research paper on this issue exists.
</abstract>

Aim/purpose – Owing to the huge risk occasioned by negative contagion effects associated with financial market linkages, markets participants and academia have continued to examine the capital market cross country interdependence at different levels. In this paper, we examined the causal relationships among the U.S., China and some top African capital market indexes.
Design/methodology/approach – To examine the mean and variance causal effects, we estimated a univariate AR-EGARCH model for all capital market indexes. Then employed the residual-based two-step bivariate cross-correlation function (CCF) test developed by Cheung & Ng (1996). The test statistics had a well-defined asymptotic standard distribution that was robust to distributional assumptions.
Findings – We detected both the feedback and unidirectional causality effects among African capital markets. These results show that African financial markets are still not fully integrated within the African continent. Expectedly, the results from our empirical analysis showed the existence of a unidirectional causality both in mean and variance from the U.S. and Chinese markets to African capital markets. This demonstrated that events in the U.S. and China are not irrelevant to African markets.
Research implications – Owing to the fact that knowledge of other financial markets provides adequate information about a market situation, the results from this research paper will be helpful for the policymakers of African countries in shaping their economic policies, help investors diversify investments with less risk, and international portfolio managers make portfolio allocation decisions.
Originality/value/contribution – This paper examined the mean and risk dynamics of three top African, the U.S., and Chinese capital markets with their inter-dependence using the CCF approach. Furthermore, to the best of our knowledge, no previous research paper on this issue exists.

Testing for causality-in-mean and in-variance among the U.S., China, and some Africa capital markets: A CCF approach

Department of International Economics, School of Economics

Journal of Economics and Management

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

Aim/purpose – Owing to the huge risk occasioned by negative contagion effects associated with financial market linkages, markets participants and academia have...

Testing for causality-in-mean and in-variance among the U.S., China, and some Africa capital markets: A CCF approach

Publié en ligne: 20 mai 2021

Pages: 131 - 153

Reçu: 22 juil. 2020

Accepté: 08 avr. 2021

DOI: https://doi.org/10.22367/jem.2021.43.07

Mots clés
causality-in-mean, causality-in-variance, capital market, cross-correlation function

© 2021 Osarumwense Osabuohien-Irabor, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

Testing for causality-in-mean and in-variance among the U.S., China, and some Africa capital markets: A CCF approach

Publié en ligne: 20 mai 2021

Pages: 131 - 153

Reçu: 22 juil. 2020

Accepté: 08 avr. 2021

DOI: https://doi.org/10.22367/jem.2021.43.07

Mots cléscausality-in-mean, causality-in-variance, capital market, cross-correlation function

© 2021 Osarumwense Osabuohien-Irabor, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

Mots clés
causality-in-mean, causality-in-variance, capital market, cross-correlation function