Liquidity or Volatility? Disentangling the Sources of Spillovers in Euro Area Sovereign Bond Markets

2014 ◽  
Author(s):  
Giang Nguyen
Keyword(s):  
Euro Area ◽  
Bond Markets ◽  
Sovereign Bond ◽  
Sovereign Bond Markets

scholarly journals What Factors Shape the Liquidity Levels of Euro Area Sovereign Bonds?

2018 ◽  
Vol 1 (1) ◽  
pp. 154-166
Author(s):  
Linas Jurksas
Keyword(s):  
Regression Model ◽  
Euro Area ◽  
Market Liquidity ◽  
Bond Markets ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
Market Participants ◽  
Sovereign Bond ◽  
Sovereign Bonds ◽  
Sovereign Bond Markets

Abstract The purpose of this paper is to determine the factors that shape the liquidity levels of euro area sovereign bonds. The values of liquidity measure and explanatory variables were calculated from the limitorder book dataset for almost five hundred bonds from six largest euro area sovereign bond markets. The created variables were used in a cross-sectional regression model. The results revealed that characteristics of sovereign bonds are indeed highly linked with bond liquidity levels, and these effects become even stronger during the regimes of lower market liquidity. Contrary to the statements of market participants and findings of many other studies, the magnitude of trading automation and obligatory requirements imposed on dealers were found to be negatively linked with the liquidity level of sovereign bonds.

scholarly journals Liquidity risk: Intraday liquidity and price spillovers in euro area sovereign bond markets

2021 ◽  
Vol 11 (2) ◽  
pp. 18-31
Author(s):  
Linas Jurkšas ◽  
Deimantė Teresienė ◽  
Rasa Kanapickiene
Keyword(s):  
Euro Area ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Market Liquidity ◽  
Bond Markets ◽  
Sovereign Bond ◽  
Sovereign Bonds ◽  
Intraday Data ◽  
The Cross ◽  
Sovereign Bond Markets

The purpose of this paper is to determine the cross-market liquidity and price spillover effects across euro area sovereign bond markets. The analysis is carried out with the constructed minute frequency order-book dataset from 2011 until 2018. This derived dataset covers the six largest euro area markets for benchmark 10-year sovereign bonds. To estimate the cross-market spillover effect between sovereign bonds, it was decided to use the empirical approach proposed by Diebold and Yilmaz (2012) and combine it with the vector error correction model (VECM). We also employed the panel regression model to identify why some bond markets had a higher spillover effect while others were smaller. The dependent variable was the daily average spillover effect of a particular bond. As the spillover effects vary highly across different bonds, country-specific fixed effects were used, and the clustered standard errors were calculated for robustness reasons. Lastly, the cross-market spillovers were analyzed daily to compare them with the results of the model with intraday data. The analysis was performed with rolling 100-day window variance decompositions and a 10-day forecast horizon for six sovereign bonds and the overnight indexed swap (OIS) market. The results of the created time-series model revealed that intraday cross-market spillovers exist but are relatively weak, especially in the case of liquidity spillovers. As the cross-market linkages became much more robust with the model using daily data, the liquidity or price disbalances between different markets are usually corrected on longer intervals than minutes. Distance between countries is the most important explanatory variable and is negatively linked to the magnitude of both liquidity and price spillovers. These findings should be of particular interest to bond market investors, risk managers, and analysts who try to scrutinize the liquidity and price transmission mechanism of sovereign bonds in their portfolios.

scholarly journals Dynamic integration and network structure of the EMU sovereign bond markets

2018 ◽  
Vol 281 (1-2) ◽  
pp. 297-314 ◽  
Author(s):  
Ahmet Sensoy ◽  
Duc Khuong Nguyen ◽  
Ahmed Rostom ◽  
Erk Hacihasanoglu
Keyword(s):  
Network Structure ◽  
Bond Markets ◽  
Sovereign Bond ◽  
Dynamic Integration ◽  
Sovereign Bond Markets
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