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The thesis offers a study on the stock market volatility in the countries of Central Eastern Europe and South Eastern Europe. We provide a univariate GARCH modeling of the stock market indices PX, BUX, and WIG from the CEE region and CROBEX, BELEX-15, and MBI from the SEE region. Additionally, we present a bivariate GARCH models in order to examine the volatility transmissions and spillovers from the European equity market to the equity markets in CEE and SEE. Our results suggest higher persistence of volatility in the CEE countries than in SEE countries, significant leverage effect more evident in the CEE region than in the SEE region, and high synchronization in the volatility between the CEE equity markets and the European equity market. The multivariate GARCH results reveal certain statistically significant but small volatility spillovers from the European equity market to the equity market in Hungary, Poland, Serbia and Republic of Macedonia. The CEE equity markets record higher conditional correlation coefficient than the SEE countries towards the European equity market. In general, the CEE equity markets are a relatively homogenous group in terms of volatility, while the SEE equity markets are a diversified group in terms of volatility with low synchronization and correlation with the...

Thesis (M.B.A.)--Boston University

This research contributes to the much-debated literature existing on the relationship between the economy, merger and acquisitions (M&A), and investors’ behaviour by empirically examining the relationship between aggregate M&A transactions, Real GDP and the stock market in the top nine countries with respect to M&A activity globally from the period 1999-2018. Interestingly, according to the cross-sectional dependence and slope heterogeneity tests conducted, the research finds that when a specific country's stock market, Real GDP or M&A activity is affected or influenced in some way, this may also have an affect or influence on the other countries considered in this research as well. Each of the nine countries have some common economic characteristics. Additionally, each country has its system with reference to how the stock market index(s), economic activity and M&A activities influence each other and operate individually. This indicates that an economic relationship between the variables in one country may not be replicated by the others. Furthermore, in a country-by-country causality analysis using the Toda and Yamamoto (1995) approach, the research finds considerable evidence in support of the behavioural school of thought where investors’ behaviour and M&A activity seem to influence each other. Out of the nine countries investigated, six countries support the behavioural school of thought, i.e., show strong to moderate causality between M&A activity (number or value) and stock market price index. On the other hand, with reference to the neoclassical theory, surprisingly, there seems to exist a relationship between M&A activity and economic activity where M&A activity (number or value) leads economic activity in two out of the nine countries investigated. Finally, the research also suggests that economic activity seems to have an impact on how investors behave in six out of the nine countries investigated.

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