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Yes / As major financial crises, and the rise of China have shaped the new world order, so it is inevitable that those nations, especially in South East Asia, that once looked west for stability need to reappraise their situation. With the markets so intertwined in events, studying the propagation of equity price shocks within the wider set of macroeconomic variables allows us to say more about how relations are changing, and the likely impacts of any future crash. With data reaching into 2014, this paper is better able to reflect the post global financial crisis period. Using a Global Vector Autoregressive (GVAR) model we analyse these changes and what lies in store for South East Asia, and the ASEAN 4 in particular. Isolating three distinct trade patterns in our weight matrices responses to crises are clearly identifiable, and the opening up of China readily chartable. Indirect effects of China’s rise are highlighted; impacts on the ASEAN 4 being via other nations to date, but direct impact is appearing.

Using static and dynamic panel data analysis, we examine how interest rates influenced equity prices of European banks and insurance companies between 2006 and 2015. Identification and quantification of effects of the low yield environment, which is a consequence of decreasing interest rates, are crucial for regulators and policy makers. Our static and dynamic models show that decreasing short-term interest rates had a negative impact both on banks and insurers. In this thesis, dynamic models are estimated by means of the Blundell- Bond system GMM estimator and we consider their results superior to the results of static models because all underlying assumptions of the dynamic models are met here. Results obtained by employing the Blundell-Bond system GMM estimator suggest that life insurers were effected more than banks, while banks were effected more than non-life insurers. In case of a 1 percentage point decrease in short-term interest rates, equity prices of life insurers are estimated to decrease on average by 18 %, equity prices of banks by 8 %, and equity prices of non-life insurers by 3 %. JEL Classification C33, C36, C61, E44, G21, G22 Keywords interest rates, equity prices, static panel analy­ sis, dynamic panel analysis, system GMM esti­ mator Author's e-mail jurena.filip.l@ gm ail.com...

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