Dynamics in the Predictability of Credit Default Swap Spreads of EU Companies

The COVID-19 pandemic affected financial instruments and markets all around the world. Credit default swap contracts of EU companies were analysed in this paper. The data consist of daily credit default swap spreads and market capitalisations of EU companies, exchange rates, LIBOR rates, bond yields...

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Main Authors: Kirill Romanyuk, Sarvar Anvarov, Mark Shumilov, Alecksey Zheleyko
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2023/7572061
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author Kirill Romanyuk
Sarvar Anvarov
Mark Shumilov
Alecksey Zheleyko
author_facet Kirill Romanyuk
Sarvar Anvarov
Mark Shumilov
Alecksey Zheleyko
author_sort Kirill Romanyuk
collection DOAJ
description The COVID-19 pandemic affected financial instruments and markets all around the world. Credit default swap contracts of EU companies were analysed in this paper. The data consist of daily credit default swap spreads and market capitalisations of EU companies, exchange rates, LIBOR rates, bond yields, and commodity futures prices from January 2010 to February 2022. The dynamics in the performance of forecasting models for credit default swap spreads before and after the declaration of the COVID-19 pandemic were measured by relative error metrics, i.e., relative root mean squared error, relative mean absolute error, and relative mean absolute percentage error. The results show a small drop in the performance right after the declaration of the COVID-19 pandemic that is mitigated by strong performance in the rest of the year, followed by a significant drop in the performance in the second year of the pandemic.
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institution Kabale University
issn 1099-0526
language English
publishDate 2023-01-01
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series Complexity
spelling doaj-art-099610422b9845fdaccdb04148fca1582025-02-03T06:47:44ZengWileyComplexity1099-05262023-01-01202310.1155/2023/7572061Dynamics in the Predictability of Credit Default Swap Spreads of EU CompaniesKirill Romanyuk0Sarvar Anvarov1Mark Shumilov2Alecksey Zheleyko3HSE UniversityNational Research University Higher School of EconomicsNational Research University Higher School of EconomicsNational Research University Higher School of EconomicsThe COVID-19 pandemic affected financial instruments and markets all around the world. Credit default swap contracts of EU companies were analysed in this paper. The data consist of daily credit default swap spreads and market capitalisations of EU companies, exchange rates, LIBOR rates, bond yields, and commodity futures prices from January 2010 to February 2022. The dynamics in the performance of forecasting models for credit default swap spreads before and after the declaration of the COVID-19 pandemic were measured by relative error metrics, i.e., relative root mean squared error, relative mean absolute error, and relative mean absolute percentage error. The results show a small drop in the performance right after the declaration of the COVID-19 pandemic that is mitigated by strong performance in the rest of the year, followed by a significant drop in the performance in the second year of the pandemic.http://dx.doi.org/10.1155/2023/7572061
spellingShingle Kirill Romanyuk
Sarvar Anvarov
Mark Shumilov
Alecksey Zheleyko
Dynamics in the Predictability of Credit Default Swap Spreads of EU Companies
Complexity
title Dynamics in the Predictability of Credit Default Swap Spreads of EU Companies
title_full Dynamics in the Predictability of Credit Default Swap Spreads of EU Companies
title_fullStr Dynamics in the Predictability of Credit Default Swap Spreads of EU Companies
title_full_unstemmed Dynamics in the Predictability of Credit Default Swap Spreads of EU Companies
title_short Dynamics in the Predictability of Credit Default Swap Spreads of EU Companies
title_sort dynamics in the predictability of credit default swap spreads of eu companies
url http://dx.doi.org/10.1155/2023/7572061
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