Uncertainty Due to Infectious Diseases and Stock–Bond Correlation

Konstantinos Gkillas, Christoforos Konstantatos and Costas Siriopoulos ()
Additional contact information
Konstantinos Gkillas: Department of Management Science & Technology, University of Patras, Megalou Aleksandrou 1, Koukouli, 26334 Patras, Greece
Christoforos Konstantatos: Department of Business Administration, University of Patras, University Campus—Rio, P.O. Box 1391, 26504 Patras, Greece

Econometrics, 2021, vol. 9, issue 2, 1-18

Abstract: We study the non-linear causal relation between uncertainty-due-to-infectious-diseases and stock–bond correlation. To this end, we use high-frequency 1-min data to compute daily realized measures of correlation and jumps, and then, we employ a nonlinear Granger causality test with the use of artificial neural networks so as to investigate the predictability of this type of uncertainty on realized stock–bond correlation and jumps. Our findings reveal that uncertainty-due-to-infectious-diseases has significant predictive value on the changes of the stock–bond relation.

Keywords: artificial neural networks; Granger causality test; nonlinearity; uncertainty; infectious diseases; stock–bond correlation (search for similar items in EconPapers)
JEL-codes: B23 C C00 C01 C1 C2 C3 C4 C5 C8 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.mdpi.com/2225-1146/9/2/17/pdf (application/pdf)
https://www.mdpi.com/2225-1146/9/2/17/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jecnmx:v:9:y:2021:i:2:p:17-:d:539153

Access Statistics for this article

Econometrics is currently edited by Ms. Jasmine Liu

More articles in Econometrics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().