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Erschienen in: Empirical Economics 6/2022

04.04.2022

The effect of Eurosystem asset purchase programmes on euro area sovereign bond yields during the COVID-19 pandemic

verfasst von: George Hondroyiannis, Dimitrios Papaoikonomou

Erschienen in: Empirical Economics | Ausgabe 6/2022

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Abstract

We investigate the effect of Eurosystem asset purchase programmes (APP) on the monthly yields of 10-year sovereign bonds for 11 euro area sovereigns during January–December 2020. The analysis is based on time-varying coefficient methods applied to monthly panel data covering the period 2004m09–2020m12. During 2020, APP contributed to an average decline in yields estimated in the range of 58–76 bps. In December 2020, the effect per EUR trillion ranged between 34 bps in Germany and 159 bps in Greece. Stronger effects generally display diminishing returns. Our findings suggest that a sharp decline in the size of the APP in the aftermath of the COVID-19 crisis could lead to very sharp increases in bond yields, particularly in peripheral countries. The analysis additionally reveals a differential response to global risks between core and peripheral countries, with the former enjoying safe-haven benefits. Markets’ perceptions of risk are found to be significantly affected by credit ratings, which is in line with recent evidence based on constant parameter methods.

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Fußnoten
1
Belgium, Germany, Ireland, Greece, Spain, France, Italy, Netherlands, Austria, Portugal and Finland.
 
2
Focusing on the four largest euro area members (Germany, France, Italy and Spain), Corradin, Grimm and Schwaab (2021) similarly find evidence that unconventional monetary policy announcements had more beneficial effects on the 5-year bond yields of Italy and Spain.
 
3
Paniagua et al. (2017) and Monteiro and Vasicek (2019) provide a concise review focused on the euro area, while a wider perspective can be found in D’Agostino and Ehrmann (2014).
 
4
Constructed as a monthly Litterman interpolation based on quarterly observations. The same holds also for \({ur}_{i,t}\).
 
5
Corporate Baa spreads relative to the 10-year US Treasury have been used as a robustness check.
 
6
Discrete scores are assigned ranging from 1 (default) to 22 (AAA). A simple average is computed across the scores of the three agencies for country i.
 
7
D’Agostino, A. and M. Ehrmann (2014) report safe-haven effects for Germany using a stochastic volatility TVP model of 10-year bond spreads with time-varying coefficients modelled as driftless random walks.
 
8
Virtually identical series are obtained using a cubic spine, with a correlation in excess of 0.999.
 
9
D’Agostino, A. and M. Ehrmann (2014) use monthly expectations by market participants, but report that availability is effectively restricted to the G7 economies.
 
10
Annex 1 provides the exact specification used in the state-space object of EViews for model 2.
 
11
Full estimates and charts for model 1 are available on request.
 
12
Paniagua et al (2017) report even stronger persistence with ρ estimates as high as 0.98.
 
13
Using event study analysis, Fengel and Neugebauer (2020) similarly report that countries with lower credit ratings experience more pronounced declines in 10-yr sovereign bond yields following APP announcements.
 
14
See, for instance, Georgoutsos and Migiakis (2018).
 
15
Moody’s seasoned Baa corporate bond yield relative to the yield of the 10-year US Treasury. Monthly observations are publicly available from the Federal Reserve Bank of St. Louis.
 
Literatur
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Zurück zum Zitat Corradin, S., Grimm, N. and B. Schwaab (2021). “Euro area sovereign bond risk premia during the Covid-19 pandemic”, ECB Working Paper Series, no 2561 Corradin, S., Grimm, N. and B. Schwaab (2021). “Euro area sovereign bond risk premia during the Covid-19 pandemic”, ECB Working Paper Series, no 2561
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Metadaten
Titel
The effect of Eurosystem asset purchase programmes on euro area sovereign bond yields during the COVID-19 pandemic
verfasst von
George Hondroyiannis
Dimitrios Papaoikonomou
Publikationsdatum
04.04.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Empirical Economics / Ausgabe 6/2022
Print ISSN: 0377-7332
Elektronische ISSN: 1435-8921
DOI
https://doi.org/10.1007/s00181-022-02225-5

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