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 Long-Term Returns in Distressed Sovereign Bond Markets

2019 ◽  
Vol 19 (138) ◽  
pp. 1
Author(s):  
Jochen Andritzky ◽  
Julian Schumacher
Keyword(s):  
Sovereign Debt ◽  
Investment Strategy ◽  
Excess Return ◽  
Bond Markets ◽  
Debt Restructuring ◽  
Sovereign Bond ◽  
Sovereign Bonds ◽  
Before And After ◽  
Sovereign Bond Markets

Sovereign debt restructurings are perceived as inflicting large losses to bondholders. However, many bonds feature high coupons and often exhibit strong post-crisis recoveries. To account for these aspects, we analyze the long-term returns of sovereign bonds during 32 crises since 1998, taking into account losses from bond exchanges as well as profits before and after such events. We show that the average excess return over risk-free rates in crises with debt restructuring is not significantly lower than the return on bonds in crises without restructuring. Returns differ considerably depending on the investment strategy: Investors who sell during crises fare much worse than buy-and-hold investors or investors entering the market upon signs of distress

scholarly journals Liquidity Spill-Overs in Sovereign Bond Market: An Intra-Day Study of Trade Shocks in Calm and Stressful Market Conditions

Economies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 35
Author(s):  
Linas Jurksas ◽  
Deimante Teresiene ◽  
Rasa Kanapickiene
Keyword(s):  
Regression Model ◽  
Event Study ◽  
Spillover Effects ◽  
Bond Market ◽  
Order Book ◽  
Bond Markets ◽  
Panel Regression ◽  
Sovereign Bond ◽  
Study Results ◽  
Sovereign Bond Markets

The purpose of this paper is to determine the liquidity spillover effects of trades executed in European sovereign bond markets and to assess the driving factors behind the magnitude of the spill-overs between different markets. The one minute-frequency limit order-book dataset is constructed from mid-2011 until end-2017 for sovereign bonds from the six largest euro area countries. It is used for the event study and panel regression model. The event study results revealed that liquidity spill-over effects of trades exist and vary highly across different order types, direction and size of the trade, the maturity of traded bonds, and various markets. The panel regression model showed that less liquid bonds and bonds whose issuer is closer by distance to the country of the traded bond have more substantial spillover effects and, at the same time, are also more affected by trades executed in another market. These results should be of interest to bond market participants who want to limit the exposure to the liquidity spillover risk in bond markets.

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