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Detecting signed spillovers in global financial markets: a Markov-switching approach
Citation
Kangogo, M and Volkov, V, Detecting signed spillovers in global financial markets: a Markov-switching approach, International Review of Financial Analysis, 82 Article 102161. ISSN 1057-5219 (2022) [Refereed Article]
Copyright Statement
© 2022 Elsevier Inc. All rights reserved.
DOI: doi:10.1016/j.irfa.2022.102161
Abstract
We examine the dynamics of the signed-spillover across financial markets using historical decomposition approach. By incorporating Markov-switching framework into the VAR model, this paper assesses the dynamics of signed-spillover during turbulent periods and period of tranquillity. Additionally, this approach enables us to detect the source and direction of the spillover and identify its signs. We show that this approach outperforms the classical single-regime spillover estimation by distinguishing shocks under different economic conditions. Specifically, we assess spillovers in global financial markets using realised variance between January 1999 and December 2017. Our empirical findings clearly indicate that spillovers are intense during period of turbulence and moderate during periods of tranquillity.
Item Details
Item Type: | Refereed Article |
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Keywords: | financial stability, spillover, financial markets, financial crises, spillovers, systemic risk |
Research Division: | Commerce, Management, Tourism and Services |
Research Group: | Banking, finance and investment |
Research Field: | Finance |
Objective Division: | Commercial Services and Tourism |
Objective Group: | Financial services |
Objective Field: | Financial services not elsewhere classified |
UTAS Author: | Kangogo, M (Dr Moses Kangogo) |
UTAS Author: | Volkov, V (Mr Vladimir Volkov) |
ID Code: | 154127 |
Year Published: | 2022 |
Deposited By: | Finance |
Deposited On: | 2022-11-01 |
Last Modified: | 2022-12-01 |
Downloads: | 0 |
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