Volatility Spillovers Across European Stock Markets Around the Brexit Referendum

2016 ◽  
Author(s):  
Hong Li ◽  
Thanaset Chevapatrakul
Keyword(s):  
Stock Markets ◽  
Volatility Spillovers ◽  
European Stock Markets

The Impact of Regulatory Standards, Interest Rates and Trading Volume on Volatility Transmission between Cross-Listed European Equities

2009 ◽  
Vol 10 (1) ◽  
pp. 89-105
Author(s):  
Koulakiotis Dasilas ◽  
Tolikas Molyneux
Keyword(s):  
Interest Rates ◽  
Stock Markets ◽  
Trading Volume ◽  
Positive Impact ◽  
Stock Exchanges ◽  
Volatility Transmission ◽  
Volatility Spillovers ◽  
Regulatory Standards ◽  
European Stock Markets ◽  
The Impact

This paper investigates the relationship between volatility transmission and stock market regulatory structures, interest rates and trading volume for European securities which are cross-listed on stock exchanges of higher, lower or similar regulatory standards compared to their home stock markets. The empirical results suggested that the regulatory environment has a significant impact on volatility spillovers and the level of interest rates and trading volume have a positive impact on the magnitude and persistence of these volatility spillovers. These findings have potentially important implications for both regulators and investors who are concerned with the effectiveness of legislation aiming to harmonise the European stock markets and the effects of volatility transmission on investment positions across European stock markets.

scholarly journals To What Extent are Stock Returns Driven by Mean and Volatility Spillover Effects? – Evidence from Eight European Stock Markets

2013 ◽  
Vol 13 (1) ◽  
pp. 3-29 ◽  
Author(s):  
Abdulla Alikhanov
Keyword(s):  
Stock Returns ◽  
Stock Markets ◽  
Spillover Effects ◽  
Volatility Spillover ◽  
Volatility Spillovers ◽  
The Us ◽  
Variance Ratios ◽  
Market Shocks ◽  
European Stock Markets ◽  
The U.S

Abstract The paper investigates mean and volatility spillover effects from the U.S and EU stock markets as well as oil price market into national stock markets of eight European countries. The study finds strong indication of volatility spillover effects from the US-global, EU-regional, and the world factor oil towards individual stock markets. While both mean and volatility spillover transmissions from the US are found to be significant, EU mean spillover effects are negligible. To evaluate the magnitude of volatility spillovers, the variance ratios are also computed and the results draw to attention that the individual emerging countries’ stock returns are mostly influenced by the U.S volatility spillovers rather than EU or oil markets. Additionally, examination of only global and regional stock markets spillover transmissions into European stock markets also confirms the dominating presence of the U.S spillover transmissions. Furthermore, I also implement asymmetric tests on stock returns of eight markets. The stock market returns of Hungary, Poland, Russia and the Ukraine are found to respond asymmetrically to negative and positive shocks in the US stock returns. The weak evidence of asymmetric effects with respect to oil market shocks is found only in the case of Russia and the quantified variance ratios indicate that presence of oil market shocks are relatively higher for Russia. Moreover, a model with dummy variable confirms the effect of European Union enlargement on stock returns only for Romania. Finally, a conditional model suggests that the spillover effects are partially explained by instrumental macroeconomic variables, out of which exchange rate fluctuations play the key role in explaining the spillover parameters rather than total trade to GDP ratios in most investigated countries.

scholarly journals MODELLING VOLATILITY SPILLOVERS, CROSS-MARKET CORRELATION AND CO-MOVEMENTS BETWEEN STOCK MARKETS IN EUROPEAN UNION: AN EMPIRICAL CASE STUDY

2021 ◽  
Vol 19 (01) ◽  
pp. 70-90
Author(s):  
Jatin Trivedi ◽  
Cristi Spulbar ◽  
Ramona Birau ◽  
Amir Mehdiabadi
Keyword(s):  
European Union ◽  
Financial Markets ◽  
Empirical Analysis ◽  
Stock Markets ◽  
The European Union ◽  
Volatility Clustering ◽  
Volatility Spillovers ◽  
Considerable Impact ◽  
European Stock Markets ◽  
The Empirical Analysis

Purpose – This article examines volatility spillovers, cross-market correlation, and comovements between selected developed and former communist emerging stock markets in the European Union. Modelling the behavioural dynamics of European stock markets represents a vital topic in a fascinating context, but also a current challenge of great interest. Research Methodology – We propose to estimate and model volatility using GARCH family models for selected European markets. We aim to explore volatility movement, presence of leverage effect/ asymmetry in selected financial markets. Findings – The econometric approach includes GARCH (1, 1) models for the sample period from 1, January 2000 to 12, July 2018. The empirical results revealed that exists a significant presence of volatility clustering in all selected financial markets except Poland and Croatia. The empirical analysis also indicates that both recent and past news generate a considerable impact on present volatility. Research limitations – Our empirical study has certain limitations regarding the relatively small number of only eight stock markets. Practical implications – It can provide a useful perspective for researchers, academics, investors, investment managers, decision-makers, and scientists. Originality/Value – The empirical analysis is focused on 8 European stock markets, which are classified as developed (Spain, UK, Germany, and France) and emerging (Poland, Hungary, Croatia, and Romania).

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