In this paper, we analyse co-movements and correlations between Bitcoin thirty-one of the most-tradable crypto assets using high-frequency data for period from January 2019 to December 2020. We apply Diagonal-BEKK model pre-COVID COVID-19 periods, identify significant changes in patterns during pandemic period. also employ Minimum Spanning Tree (MST) Planar Maximally Filtered Graph (PMFG) metho...

Þau tengsl sem unglingar mynda við flutning til nýs lands geta ráðið miklu um líðan þeirra og velferð. Markmið rannsóknarinnar var að varpa ljósi á vinatengsl eftir uppruna unglinga. Kannaður fjöldi vina af íslenskum erlendum stuðningur frá þeim, vinafjölda hlutfalls nemenda í skóla þátttakenda aldurs Íslands vinafjölda. Gögnum safnað með spurningalistakönnun lögð fyrir níu grunnskólum. Alls sv...

Abstract This paper investigates the linkage of returns and volatilities between United States Chinese stock markets from January 2010 to March 2020. We use dynamic conditional correlation (DCC) asymmetric Baba–Engle–Kraft–Kroner (BEKK) GARCH models calculate time-varying correlations these two examine return volatility spillover effects markets. The empirical results show that there are only u...

This paper modifies the BEKK-GARCH model based on empirical results of VAR to analyze dynamic volatility spillover effect between European Union allowance (EUA) and certified emissions reduction (CER) markets during second third phases Emission Trading System (EU ETS). The show that (1) an asymmetric exists EUA CER market has a more significant market, (2) becomes weaker in phase III since Comm...

This paper examines mean and volatility spillovers between three major cryptocurrencies (Bitcoin, Litecoin Ethereum) the role played by cyber-attacks. Specifically, trivariate GARCH-BEKK models are estimated which include suitably defined dummies corresponding to different types, targets number per day of Significant dynamic linkages (interdependence) under investigation found in most cases whe...

Crude oil and natural gas are crucial to the Russian economy. Therefore, this study examined interconnections between crude price, economic policy uncertainty (EPU) over period 1994–2019 using multivariate DCC-MGARCH models. The findings show that there strong (co-movement) energy prices EPU in Russia, it might be misleading assume independence or neutrality variables. Although Russia is also a...

This paper proposes structured parametrizations for multivariate volatility models, which use spatial weight matrices induced by economic proximity. These structured speci…cations aim at solving the curse of dimensionality problem, which limits feasibility of model-estimation to small cross-sections for unstructured models. Structured parametrizations possess the following four desirable proper...