2010
DOI: 10.3846/tede.2010.31
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Alterations in the Financial Markets of the Baltic Countries and Russia in the Period of Economic Downturn / Finansų Rinkų Pokyčiai Baltijos Šalyse Ir Rusijoje Ekonominio Nuosmukio Laikotarpiu

Abstract: The present article analyses the alternations in the causality in the financial markets during the 2008–2009 financial crisis with a clear focus on the changes and developments in the financial markets of the Baltic States and Russia in the period starting from 2008. The authors have advanced a hypothesis that the research methods of trends of an abrupt plunge and subsequent stabilistation of equity prices that were clearly discernable during the 1987 crisis are also pointfull for the current financial crisis.… Show more

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Cited by 16 publications
(10 citation statements)
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“…Other studies such as Maneschiold (2006), Nielsson (2007), Dubinskas and Stunguriene (2010), Kazukauskas (2011) and Babalos et al (2018), among others, investigated causal relationships between Baltic markets and other markets in the developed economy. Maneschiold (2006) applied bivariate and multivariate cointegration tests to study the long-run relationships among Baltic stock markets and major international stock markets which include stocks in the G7 countries like the United States, Japan, Germany, the United Kingdom, and France.…”
Section: Introductionmentioning
confidence: 99%
“…Other studies such as Maneschiold (2006), Nielsson (2007), Dubinskas and Stunguriene (2010), Kazukauskas (2011) and Babalos et al (2018), among others, investigated causal relationships between Baltic markets and other markets in the developed economy. Maneschiold (2006) applied bivariate and multivariate cointegration tests to study the long-run relationships among Baltic stock markets and major international stock markets which include stocks in the G7 countries like the United States, Japan, Germany, the United Kingdom, and France.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the majority of timeseries models are multidimensional, so, unlike simpler econometrical/statistical methods, they help to examine the interactions between many variables simultaneously. However, while foreign researchers apply advanced time-series models for a long time, the majority of the authors who analysed Lithuanian asset markets still mostly use regression or correlation analysis (apart from Pilinkus, 2010;Dubinskas & Stungurienė, 2010). For all these reasons it was decided to ll this gap and to examine the causal relationships between variables using a long-term time-series model -cointegration.…”
Section: Data and Construction Of The Modelmentioning
confidence: 99%
“…If types of borrowing would automatically suggest the efficiency of debt, such problemsolving of debt management as well as debt optimization could be reasoned. But real estate debt bubbles have shown that activity absorbing the borrowed funds has caused these uncertainties, which to the great extent contributed to the continuing world economic crisis (Dubinskas, Stungurienė 2010;Afonso, Jalles 2013).…”
Section: Peculiarities Of Debt Optimizationmentioning
confidence: 99%