Return and volatility spillovers in the Moroccan stock market during the financial crisis
Autor: | Youssef Saidi, Ahmed El Ghini |
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Rok vydání: | 2016 |
Předmět: |
Statistics and Probability
Economics and Econometrics 050208 finance Financial economics Autoregressive conditional heteroskedasticity jel:C50 05 social sciences Structural break Return and volatility spillovers multivariate GARCH model financial crisis stock markets break identification conditional correlation jel:C10 Bivariate analysis jel:C58 Mathematics (miscellaneous) jel:G15 Spillover effect 0502 economics and business Financial crisis Economics Stock market 050207 economics Volatility (finance) Social Sciences (miscellaneous) Stock (geology) |
Zdroj: | Empirical Economics. 52:1481-1504 |
ISSN: | 1435-8921 0377-7332 |
DOI: | 10.1007/s00181-016-1110-8 |
Popis: | The aim of this paper is to investigate the return and volatility linkages among the Moroccan stock market and that of the USA and three European countries (France, Germany and UK) before and during the financial crisis. More specifically, we use stock returns in MASI, CAC, DAX, FTSE and NASDAQ as representatives of Moroccan, French, German, British and US markets, respectively. The data sample frequency is daily and spans from January 2002 to December 2012 excluding holidays. Using the estimation results of a bivariate VAR-BEKK GARCH model, we analyze the return and volatility spillover effects between the Moroccan market and the other considered markets. Moreover, the identification of break point due to the subprime crisis is made by Lee and Strazicich (Rev Econ Stat 85(4):1082–1089, 2003, Econ Bull 33(4):2483–2492, 2013), Papell and Prodan (J Money Credit Bank 38:1329–1349, 2006) and Prodan (J Bus Econ Stat 26(1):50–65, 2008) structural break tests. The empirical results indicate varying degrees of interdependence and spillover effects between the four considered major stock markets and the Moroccan emerging stock market before and after the global financial crisis. |
Databáze: | OpenAIRE |
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