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This research provides some evidence by the vine copula approach, suggesting the significant and symmetric causal relation between subsections of Baltic Exchange and hence concluding that investing in different indexes, which is currently a risk diversification system, is not a correct risk reduction strategy.

The daily observations of Baltic Capesize Index (BCI), Baltic Handysize Index (BHSI), Baltic Dirty Tanker Index (BDTI) and Baltic LNG Tanker Index (BLNG) over an eight-year period have been used. After collecting data, calculating the return and estimating the marginal distribution of return rates for each of the indexes applying asymmetric power generalized autoregressive conditional heteroskedasticity and autoregressive moving average (APGARCH-ARMA), and with the assumption of skew student's t-distribution, the dependence of Baltic indexes was modeled based on Vine-R structures.

A positive and symmetrical correlation was observed between the study groups. High and low tail dependence is observed between all four indexes. In other words, the sector business groups associated with each of these indexes react similarly to the extreme events of other groups. The BHSI has a pivotal role in examining the dependency structure of Baltic Exchange indexes. That is, in addition to the direct dependence of Baltic groups, the dependence of each group on the BHSI can transmit accidents and shocks to other groups.

Since the Baltic Exchange indexes are tradable, these findings have implications for portfolio design and hedging strategies for investors in shipping markets.

Vine copula structures proves the causal relationship between different Baltic Exchange indexes, which are derived from different types of markets.

The chapter discusses the characteristics of audiovisual (AV) media sectors in the Baltic Sea region. Therein it focuses on the specifics of media industries in small countries in the region as they are challenged in ways notably different from large countries with large domestic markets for media content. It discusses the differences between the AV media industries in the Nordic and Baltic countries and suggests that while in the first case long-term welfare society policies and conscious policy-driven system building have conditioned growth and international success then also in the second case innovation policy rationales have facilitated recent growth and dynamics. It then discusses the specific challenges, especially platformisation to small media industries in contemporary globalising media markets, and suggests that opportunities to resist these challenges may be in local inter-sectoral cooperation, that is, in building cross-innovation systems.

The paper seeks to disclose the features and implications of the neoliberal VET and employment policy agendas for the social and institutional VET ecosystems and the integration of at-risk youth in the labour market in the Baltic countries.

The research is based on the comparative policy analysis approach with reference to the theories of social and skill formation ecosystems and the historical institutionalism perspective.

The research has revealed three interconnected and alternately/simultaneously applied development pathways in the skill formation and vocational education of at-risk youth in the Baltic countries: (1) the market-oriented approach based on fostering immediate employability based on the momentary skills needs in the economy; (2) the state-assistance approach based on ensuring equal access to the VET and employment services by the state and (3) the approach of systemic support to socially disadvantaged or at-risk young people in developing their capabilities.

The originality of the paper lies in a new, holistic and comparative perspective in analysing the implications of the “Baltic neoliberalism” for the development of skill formation systems, VET and employment of at-risk youth in this region.

All three Baltic countries – Estonia, Latvia, and Lithuania – share common features, similar history, and took similar steps to establish an external evaluation of their science base. Even though the three countries have similarities in terms of their geography, size, economic structure, development and demography, they demonstrate differences, for example Estonia is often considered to be ahead of Latvia and Lithuania in terms of the economy and development. So, do the Baltic countries share similarities or differences from the point of research management and administration?