The paper brings the common and unobserved factor of net exports of the six European post-transition countries, namely Czech Republic, Slovakia, Slovenia, Hungary, Latvia and Romania. The data sample consists of the quarterly net exports time series for the period 1996q1 – 2017q2. The results out of the dynamic factor analysis (DFA) revealed that one hidden random walk explains 53.17% of temporal variation in net exports of the observed sample countries. The relationship between unobserved hidden factor and net exports of Czech Republic, Slovakia, Slovenia and Hungary is found to be positive while the Romanian net export was negatively affected. However, the unobserved factor identified in this paper cannot explain the net export in case of Latvia.
Contemporary banks operate in a changing environment influenced by regulatory requirements, emerging new risk types and high competition on the market. At the same time banks have on their disposal large datasets from internal and external sources – the question arising is whether banks are using adequate analytics to gain value from big data. Big data has been used in banking for some time, mostly in the marketing field, but the usage of big data in banks’ risk management has not been a subject of extensive scientific research. The goals of this paper are twofold. Firstly, the authors are presenting an overview of existing research on the topic of big data usage in banks’ risk management by discussing selected aspects of this topic. Secondly, the authors are formulating a proposal on how to strategically use big data in risk management in banks by merging literature based extracted usage of big data with risk management phases. Expected contributions of this paper are systematization of knowledge from available literature and increasing scientific and professional awareness on the topic and potential of big data in banks’ risk management.
U
ovome radu po prvi puta se analizira promjena relativnog položaja izvoza
uslužnoga sektora visoke dodane vrijednosti Republike Hrvatske na tržište
Europske unije, u razdoblju od 2008. do 2012. godine, primjenom metode
konstantnih tržišnih udjela, koja omogućuje utvrđivanje učinaka promjena
tržišnog udjela neke zemlje. Promjena tržišnog udjela raščlanjuje se na
strukturni učinak, koji pokazuje koliko na promjenu tržišnog udjela utječe sama
struktura izvoza prema pojedinim uslugama (uslužna orijentacija), odnosno
izvoznim tržištima (geografska orijentacija) te učinak konkurentnosti koji obuhvaća
sve ostale čimbenike koji mogu utjecati na konkurentnost nekih usluga na
određenom tržištu i posljedično na njihov tržišni udio. Rezultati provedenog
istraživanja pokazuju da je porast udjela hrvatskog izvoza usluga visoke dodane
vrijednosti na tržište Europske unije u razdoblju od 2008. do 2012. godine
poglavito posljedica učinka konkurentnosti.
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