Financial Market Contagion During the Global Financial Crisis: Evidence from the Moroccan Stock Market (original) (raw)

2014, International Journal of Financial Markets and Derivatives

In this paper, we aim at the study of the contagion of the global financial crisis (2007–2009) on Moroccan stock market. Our study focuses to examine whether contagion effects exist on Moroccan stock market, during the current financial crisis. Following Forbes and Rigobon (2002), we define contagion as a positive shift in the degree of comovement between asset returns. We use stock returns in MASI, CAC, DAX, FTSE and NASDAQ as representatives of Moroccan, French, German, British and US markets, respectively. To measure the degree of volatility comovement, time–varying correlation coefficients are estimated by flexible dynamic conditional correlation (DCC) multivariate GARCH model. We investigate empirical studies using the DCC–GARCH framework to test the contagion hypothesis from US and European markets to the Moroccan one.

Equity Market Contagion in Return Volatility during Euro Zone and Global Financial Crises: Evidence from FIMACH Model

Journal of Risk and Financial Management

The current paper studies equity markets for the contagion of squared index returns as a proxy for stock market volatility, which has not been studied earlier. The study examines squared stock index returns of equity in 35 markets, including the US, UK, Euro Zone and BRICS (Brazil, Russia, India, China and South Africa) countries, as a proxy for the measurement of volatility. Results from the conditional heteroskedasticity long memory model show the evidence of long memory in the squared stock returns of all 35 stock indices studied. Empirical findings show the evidence of contagion during the global financial crisis (GFC) and Euro Zone crisis (EZC). The intensity of contagion varies depending on its sources. This implies that the effects of shocks are not symmetric and may have led to some structural changes. The effect of contagion is also studied by decomposing the level series into explained and unexplained behaviors.

Dynamic correlation analysis of financial contagion: Evidence from Asian markets

We apply a dynamic conditional-correlation model to nine Asian daily stock-return data series from 1990 to 2003. The empirical evidence confirms a contagion effect. By analyzing the correlation-coefficient series, we identify two phases of the Asian crisis. The first shows an increase in correlation (contagion); the second shows a continued high correlation (herding). Statistical analysis of the correlation coefficients also finds a shift in variance during the crisis period, casting doubt on the benefit of international portfolio diversification.Evidence shows that international sovereign credit-rating agencies play a significant role in shaping the structure of dynamic correlations in the Asian markets.

Africa Stock Markets Cross-Market Linkages: A Time-Varying Dynamic Conditional Correlations (DCC-GARCH) Approach

Journal of Applied Business Research (JABR), 2017

This article investigates stock return volatility and contagion among the five African countries (Zimbabwe, South Africa, Egypt, Kenya, and Nigeria) and the United States of America for the period between 1998 and 2015. Engle (2002)’s Dynamic Conditional Correlation multivariate generalized autoregressive conditional heteroscedasticity model was adapted to explore the time-varying conditional correlations to capture the contagion behavior of these financial markets over time. In this article the researchers observes that South African Stock returns are highly correlated to NYSE stock returns and the coefficients are significant for all periods under consideration. Additionally, the South African stock returns are significantly negatively related to Zimbabwean stock returns. An analysis of correlation confirms what most scholars found, that the correlations amongst markets tend to increase during the time of crises and weaken during periods of stability with an exception of Egypt ...

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