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

Author:

Romanyuk Kirill1ORCID,Anvarov Sarvar2,Shumilov Mark3,Zheleyko Alecksey3

Affiliation:

1. HSE University, Department of Finance, Kantemirovskay Street, 3, Saint Petersburg 197342, Russia

2. National Research University Higher School of Economics, Department of Economics, Kantemirovskay Street, 3, Saint Petersburg 197342, Russia

3. National Research University Higher School of Economics, Department of Management, Kantemirovskay Street, 3, Saint Petersburg 197342, Russia

Abstract

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.

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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