Issue |
SHS Web Conf.
Volume 91, 2021
Innovative Economic Symposium 2020 – Stable Development in Unstable World (IES2020)
|
|
---|---|---|
Article Number | 01044 | |
Number of page(s) | 16 | |
Section | Stable Development in Unstable World | |
DOI | https://doi.org/10.1051/shsconf/20219101044 | |
Published online | 14 January 2021 |
Analysis of government bonds and prediction of their development after the pandemic caused by COVID-19
Institute of Technology and Business, School of Expertness and Valuation, Okruzni 517/10, 37001 Ceske Budejovice, Czech Republic
* Corresponding author: petr.suler@cez.cz
This paper describes the current state of the government bond market and predicts the future development of government bond yields using the yield curve to bond maturity, spot yield curve, credit rating and simple prediction. The ongoing economic crisis caused by the COVID-19 pandemic is changing the lives of many people. In order for each individual country to help its households, prevent mass job lay-offs and high mortality, their fiscal budget deficits are growing to unexpected heights. The aim of this paper is to analyse government bonds as one of the tools that can help both the state and individual households at this time. Government bond yields are analysed and compared with other countries based on the development of government bonds using credit ratings, yield curves to maturity, spot yield curves and simple historical development of government bonds from the previous economic crisis in 2008. Based on the results, we conclude that countries severely affected by the COVID-19 pandemic and subsequent mortality, such as Italy, have a relatively stable yield. In contrast, for countries such as the Czech Republic and South Korea, yields to maturity at both ends are relatively declining.
Key words: government bond market / prediction / economic crisis / households / yield curve / credit rating
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.