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EN
The main aim of the article is to determine how the bankruptcy filing announcement of a stock listed company affects the market valuation of its competitors, depending on sector characteristics. An event study was conducted on the example of returns to shares of companies comprised in the WIG index and operating in 9 sectors. It is indicated that the bankruptcy filing announcement is quickly (within one day) incorporated into the share prices of competitors of the announcing firm. It is confirmed that the direction of market reaction toward share prices of competitors is differentiated by the characteristics of the sector. Averaged results show that the competitive effect occurs in the sectors with a high level of concentration, while the contagion effect is noted in sectors with low concentration. Companies from sectors characterized by low leverage experience the competitive effect. No information transfer was found for a group of companies in sectors characterized by high leverage.
PL
The main aim of the article is to determine how the bankruptcy filing announcement of a stock listed company affects the market valuation of its competitors, depending on the sector characteristic. An event study was conducted on the example of returns to shares of companies comprised in the WIG index and operating in 9 sectors. It is indicated that the bankruptcy filing announcement is quickly (within one day) incorporated into the share prices of competitors of the announcing firm. It is confirmed that the direction of market reaction toward share prices of competitors is differentiated by the characteristics of the sector. Averaged results show that the competitive effect occurs in the sectors with a high level of concentration, while the contagion effect is noted in sectors with low concentration. Companies from sectors characterized by low leverage experience the competitive effect. No information transfer was found for a group of companies in sectors characterized by high leverage.
EN
The paper examines the development of the Polish economy as well as the economies of selected countries in the period from 2001 to 2012. For that purpose, models based on the GDP growth in particular countries were built. A comparative analysis of the development of economies in the countries concerned (the United Kingdom, Belgium, Denmark, France, Poland, the Netherlands), based on a specially built full-factor multivariate GARCH model, is presented. The theory of the construction of a full-factor multivariate GARCH model and its estimation method are discussed. In the paper, a multivariate GARCH model where the covariance matrix is always positive, definite and the number of parameters is relatively small compared to other multivariate models is proposed. The causality of the impact that economies exert on one another is examined and the occurrence of the contagion effect is verified by means of the Forbes and Rigobon test.
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PL
W artykule podjęto próbę odpowiedzenia na pytania: czy po wstrząsie, 5-go stycznia 2018 roku, na rynku kryptowalut wystąpił efekt zarażania oraz czy wahania kursu Bitcoina mają wpływ na kształtowanie się cen innych kryptowalut. Dodatkowo sprawdzono czy czynnik zewnętrzny ma wpływ na notowania kryptowalut. Badania przeprowadzono na danych z przełomu 2017 i 2018 roku. Do celów badawczych użyto modelu VAR-DCC-GARCH. Przeprowadzone analizy wykazały, że wystąpił efekt zarażania na badanym rynku oraz spadki zanotowane dla kryptowaluty Bitcoin, spowodowały spadki cen innych badanych kryptowalut.
EN
The aim of this paper was to answer two questions: whether the contagion effect occured in the cryptocurrency market after the shock of the 5th of January 2018 and whether the price changes observed for Bitcoin had an impact on other examined cryptocurrencies. This paper examined whether adding external factors affected the cryptocurrency market. Data used in this article were from the turn of 2017 and 2018. In addition, the VAR-DCC-GARCH model was employed for research purposes. Above all, this paper argued that contagion effect did occur in the market analysed. Secondly, the decreases recorded for Bitcoin cryptocurrency indeed caused price drops for other cryptocurrencies examined.
EN
The paper examines relationships between selected treasury bond market in Europe. The study focuses on two periods: from January 2006 to December 2018 and from January 2010 to December 2013. For the first period bivariate vector autoregressive model was used with weekly data. The empirical results indicated bidirectional relationships for developed markets and unidirectional causality for Greece and Central Europe. The second period concerns the crisis of public finances in Greece. In this case, the aim of the study was to determine the so-called contagion effect in treasury bonds market. The analysis confirmed the contagion effect for countries with low credit ratings.
PL
Artykuł analizuje relacje między wybranymi rynkami obligacji skarbowych w Europie. Badanie koncentruje się na dwóch okresach: od stycznia 2006 r. do grudnia 2018 r. i od stycznia 2010 r. do grudnia 2013 r. W przypadku pierwszego okresu zastosowano dwuwymiarowy model autoregresji wektorowej z danymi tygodniowymi. Wyniki empiryczne wskazały na dwukierunkowe relacje między rynkami rozwiniętymi i jednokierunkową przyczynowość w przypadku Grecji i Europy Środkowej. Badania nad drugim okresem, dotyczące kryzysu finansów publicznych Grecji, miały na celu przeanalizowanie tzw. efektu zarażania na rynku obligacji skarbowych, a ich wyniki potwierdziły występowanie efektu zarażania w przypadku państw o niskim ratingu kredytowym.
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