Essays on modelling the volatility dynamics and linkages of emerging and frontier stock markets

Abstract

This thesis consists of three essays and empirically studies the behaviour of emerging and frontier stock markets against instability in the commodity and international financial markets. The first essay considers symmetric and asymmetric dynamic conditional correlation multivariate GARCH models to examine the correlations between the Gulf Cooperation Council (GCC) stock markets and the Brent and OPEC crude oil price indices and to gauge the oil shocks effect on the dynamics of the GCC stock markets. The analysis uses weekly data covering the period December 31st, 2003 to December 27th, 2012. The results show that: (i) two of the GCC stock markets are asymmetrically correlated with both the Brent and OPEC crude oil price indices and only two are symmetrically correlated with Brent oil; (ii) all the GCC stock markets exhibit positive and symmetric conditional correlations overtime and these correlations are more pronounced during periods of high oil price fluctuations. The second essay investigates the contagion effect and volatility spillovers from the U.S. financial, the Dubai and the European debt crises to the GCC stock markets, with particular focus on financial and non-financial sectors. It uses weekly data for the period December 31st, 2003 to January 28th, 2015 and applies GARCH models and indicators of crisis. The empirical results show that: i) contagion effects are present on some of the GCC stock markets and are more pronounced during the U.S. financial and Dubai debt crises, with a larger impact on financial sectors; ii) there is significant evidence of volatility spillovers from the financial sectors of the U.S., European and Dubai stock markets to some of the GCC sectors considered, even though spillovers are rather weak in magnitude. The last essay investigates the extent to which the GCC stock markets are correlated and integrated with those of the Asian countries. The analysis is carried out using the Johansen cointegration approach, the dynamic conditional correlation (DCC) GARCH model, and a standard correlation analysis based on a rolling window estimation scheme. The sample period of the analysis spans from December 31st, 2003 to September 30th, 2015. The empirical analysis offers three main results. First, there is a relatively moderate evidence of cointegration among some of the GCC and Asian stock markets particularly with of those of strong economic linkages among them. Second, evidence of time-varying correlation is found in some cases, while not large in magnitude, and shocks to volatility are highly persistence. Third, stock returns show a common trend exists, only during the global financial crisis.