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In this paper coincident and leading economic indicators are analysed and used to construct coincident, leading and recession indexes for the Lithuanian economy by applying Stock and Watson (1989) methodology. Coincident and leading indexes describe the dynamics of the Lithuanian economy fairly well. The recession index accurately predicts periods of economic contraction.

In this paper the issue of globalisation and deteriorating precision of domestically oriented frameworks is addressed. A hypothesis that the effect of international trends on the growth of economy is increasing over time is formed. In order to validate this, a method of composing foreign series with local indicators in a hierarchical dynamic factor model is presented. The novelty of this approach is that globalisation effect is measured focusing on prediction rather than similarity. This way the measure presents the country's sensitivity to global shocks and reveals how much focal country's economy is intertwined with global economy. The application was performed on the basis of Lithuanian data and the hypothesis was validated. The results indicate that globalisation effect has an increasing effect over time.

In this paper a new method of constructing the leading economic index is presented. Its main advantage is the ability to distinguish domestic and foreign factors influencing the growth of economy and it is performed via dynamic hierarchical factor modelling. An application is carried out with Lithuanian data and the results indicate that foreign component corresponds to an economically and statistically significant amount of variance. Under this new methodology, a hypothesis that the effect of international trends on the growth of economy is increasing over time is validated. Results indicate that globalization effect can be quantified and monitored using the proposed decomposition. ARTICLE HISTORY

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