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Wyszukujesz frazę "Gherghina, Ştefan Cristian" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
The EUs Socio-economic Development Against the Backdrop of the War in Ukraine
Autorzy:
Boichenko, Kateryna
Rana, Umair Ashraf
Nuno Mata, Mário
Gherghina, Ștefan Cristian
Powiązania:
https://bibliotekanauki.pl/articles/2196266.pdf
Data publikacji:
2023-04-29
Wydawca:
Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
Tematy:
development
public debt
inflation
clustering
war
Opis:
The war in Ukraine affects the European Union (EU) member states asymmetrically. The purpose of the study is to determine changes in the development of the EU countries in three key directions: ‘economy and environment’, ‘busi-ness and trade’, and ‘people and work’; to identify clusters of countries with similar transformations; and to model the impact of the studied indicators on the level of public debt amid the war in Ukraine. The research methodology inclu-des the definition of a complex indicator of changes in the socio-economic development of EU countries, correlation and cluster analysis, and modelling the influence of the studied factors/indicators on the level of public debt. Research of changes in the context of the proposed complex indicators and their components under conditions of war showed that the changes in the areas under review varied for EU countries. Against the backdrop of the war in Ukraine, 17 EU countries faced a slowdown in their socio-economic growth, among which Poland was the most severely affected. Modelling made it possible to determine that, amid the war, the most important factors for the EU public debt are inflation, labour market conditions, and the possibilities of the balance of payments and the international investment position incorporated into GDP. The conducted research proves that the war in Ukraine increases the scale and rele-vance of general challenges that cannot be addressed at the national level. Strengthening the European defence against external aggression is the entire task of the EU.
Źródło:
Central European Economic Journal; 2023, 10, 57; 72-89
2543-6821
Pojawia się w:
Central European Economic Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multifrequency-based non-linear approach to analyzing implied volatility transmission across global financial markets
Autorzy:
Boateng, Ebenezer
Asafo-Adjei, Emmanuel
Gatsi, John Gartchie
Gherghina, Ştefan Cristian
Simionescu, Liliana Nicoleta
Powiązania:
https://bibliotekanauki.pl/articles/19322599.pdf
Data publikacji:
2022
Wydawca:
Instytut Badań Gospodarczych
Tematy:
shocks transmission
information flow
Rényi transfer entropy
multi-scale
market conditions
Opis:
Research background: The contagious impact of the COVID-19 pandemic has heightened financial market's volatility, nonlinearity, asymmetric and nonstationary dynamics. Hence, the existing relationship among financial assets may have been altered. Moreover, the level of investor risk aversion and market opportunities could also alter in the pandemic. Predictably, investors in the heat of the moment are concerned about minimizing losses. In order to determine the level of hedge risks between implied volatilities in the COVID-19 pandemic through information flow, it is required to take into account the increased vagueness of economic projections as well as the increased uncertainty in asset values as a result of the pandemic. Purpose of the article: The study aims to examine the transmission of information between the VIX-implied volatility index for S&P 500 and fifteen other implied volatility indices in the COVID-19 pandemic. Methods: We relied on daily changes in the VIX and fifteen other implied volatility indices from commodities, currencies, and stocks. The study employed the improved complete ensemble empirical mode decomposition with adaptive noise which is in line with the heterogeneous expectations of market participants to denoise the data and extract intrinsic mode functions (IMFs). Subsequently, we clustered the IMFs based on common features into high, low, and medium frequencies. The analysis was carried out using Rényi transfer entropy (RTE), which allowed for the evaluation of both linear and non-linear, as well as varied distributions of the market dynamics. Findings & value added: Findings from the RTE revealed a bi-directional flow of negative information amid the VIX and each of the volatility indices, particularly in the long term. We found this behavior of the markets to be consistent at varying levels of investors' risk aversion. The findings help investors with their portfolio strategies in the time of the pandemic, which has resulted in fluctuating levels of risk aversion. Our findings characterize global financial markets to be "non-linear heterogeneous evolutionary systems". The results also lend support to the emerging delayed volatility of market competitiveness and external shocks hypothesis.
Źródło:
Oeconomia Copernicana; 2022, 13, 3; 699-743
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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