Financial Markets Comovements in Northern Europe

In this bachelor thesis, we study conditional correlation of various sector in- dices on the stock markets in Northern Europe, namely in Stockholm, Helsinki, Copenhagen and composite indices for Baltic countries. To model conditional correlations, we employ DCC-GARCH framework estimated by maximum like- lihood estimator. Validation of estimated models is based on residuals. We discovered that there is low level of correlation between Nordic and Baltic coun- tries and that some sectors exhibits very high level of correlation, while other tends to have correlation close to zero or even negative for some time peri- ods. Moreover, we observe that some industries have very persistent correlation structure, while others tends to react to the price shocks drastically.