Scott M.R. Mahadeo
Contagion Testing in Embryonic Markets Under Alternative Stressful US Market Scenarios
Mahadeo, Scott M.R.; Heinlein, Reinhold; Legrenzi, Gabriella Deborah
Abstract
We consolidate alternative ways for identifying stable and stressful scenarios in the S&P 500 market to construct contagion tests for recipient markets vulnerable to disturbances from this source market. The S&P 500 is decomposed into discrete conditions of: (1) Tranquil versus turbulent volatility; (2) Bull versus bear market phases; (3) Normal periods versus asset bubbles and crises. We analyse the relationship between the S&P 500 and major emerging Caribbean stock markets and find that, despite the prominent trade related exposure to the US, financial linkages are much less pronounced than might be expected outside of the Great Recession.
Citation
Mahadeo, S. M., Heinlein, R., & Legrenzi, G. D. (2019). Contagion Testing in Embryonic Markets Under Alternative Stressful US Market Scenarios. SSRN, https://doi.org/10.2139/ssrn.3523533
Journal Article Type | Article |
---|---|
Online Publication Date | Jan 23, 2020 |
Publication Date | 2019-12 |
Deposit Date | Nov 21, 2023 |
Journal | SSRN Electronic Journal |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.2139/ssrn.3523533 |
Keywords | Pharmacology (medical) |
Publisher URL | https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3523533 |
You might also like
Tracing the Sources of Contagion in the Oil-Finance Nexus
(2022)
Book Chapter
Contagion testing in frontier markets under alternative stressful S&P 500 market scenarios
(2022)
Journal Article
Energy contagion analysis: a new perspective with application to a small petroleum economy
(2019)
Journal Article
Hard evidence: does a lower pound boost manufacturing?
(2017)
Journal Article
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search