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Wyszukujesz frazę "CEE stock markets" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Intraday patterns in time-varying correlations among Central European stock markets
Autorzy:
Wójtowicz, T.
Powiązania:
https://bibliotekanauki.pl/articles/108424.pdf
Data publikacji:
2016
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
CEE stock markets
DCC-GARCH model
emerging markets
intraday data
Opis:
In this paper we investigate intraday relationships between three Central European stock exchanges: those in Frankfurt, Vienna and Warsaw. They represent different types of stock markets: two of them are developed, while the last is an emerging market. Via DCC-GARCH models we analyze and compare time-varying conditional correlations of intraday returns of the main indices of the stock exchanges. We study the impact of important public information, US macroeconomic news announcements, on the strength of interrelationships between the markets. Additionally, we analyze diurnal patterns in time-varying correlations on different days of the week.
Źródło:
Managerial Economics; 2016, 17, 1; 149-162
1898-1143
Pojawia się w:
Managerial Economics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implications of market frictions: serial correlations in indexes on the emerging stock markets in Central and Eastern Europe
Autorzy:
Olbrys, J.
Majewska, E.
Powiązania:
https://bibliotekanauki.pl/articles/406526.pdf
Data publikacji:
2014
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
CEE stock markets
market frictions
nonsynchronous trading
index serial correlation
market efficiency
Opis:
Implications of market frictions in the context of serial correlations in indexes on the Central and Eastern European (CEE) stock markets have been analysed. Market frictions, such as non-trading effects, bid/ask spreads, other transaction costs, etc., may be detected by direct measurement, or by indirect identification. Direct measurement of frictions is difficult as intraday trading data are unavailable in the case of most of the emerging CEE stock markets. Indirect identification may be conducted by detecting some empirical phenomena. One of them is evidence of serial correlations in indexes, the so-called the Fisher effect. We explore the problem of serial correlations in indexes on the eight CEE stock markets using data samples from each CEE market separately, as well as a “common trading window” approach, which is widely applied in the case of databases with multivariate time series. The evidence is that nonsynchronous trading effect II between markets may substantially disrupt the analysis of index returns on a domestic market. Using a synchronized database, one may erroneously conclude that the Fisher effect does not exist, although it is present.
Źródło:
Operations Research and Decisions; 2014, 24, 1; 51-70
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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