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Estimating the impact of the outbreak of wars on financial assets: Evidence from Russia-Ukraine conflict()
This study analyzes the performance of the Shanghai Composite Index, S&P 500 index, WTI oil price, and LBMA gold price when wars took place, especially the Russia-Ukraine conflict. We employ empirical methods to explore the stability, instantaneous shock, and short-term shock regarding the above...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641179/ https://www.ncbi.nlm.nih.gov/pubmed/37964850 http://dx.doi.org/10.1016/j.heliyon.2023.e21380 |
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author | Wang, Zhengzhong Liu, Shuihan Wei, Yunjie Wang, Shouyang |
author_facet | Wang, Zhengzhong Liu, Shuihan Wei, Yunjie Wang, Shouyang |
author_sort | Wang, Zhengzhong |
collection | PubMed |
description | This study analyzes the performance of the Shanghai Composite Index, S&P 500 index, WTI oil price, and LBMA gold price when wars took place, especially the Russia-Ukraine conflict. We employ empirical methods to explore the stability, instantaneous shock, and short-term shock regarding the abovementioned financial assets. We first adopt the event study method to ascertain whether the cumulative abnormal returns of the selected assets are significant when wars break out. Then, we use the permutation test to examine the significance of price level changes. Results show that only the Shanghai Composite Index is relatively stable. Second, the difference-in-differences model indicates that the 3 unstable assets all suffered positive shocks in their price levels within several days after the Russia-Ukraine conflict broke out. The parallel trend test confirms the validity of establishing the difference-in-differences model. Third, regression discontinuity is designed to measure the impact in a longer event window, suggesting the robustness of conclusions of the difference-in-differences model and revealing an upward trend before the conflict and a downward trend after the conflict of the financial assets. The study suggests that investors consider adjustments to investment strategies and governments take precautions to diminish the risk of the outbreak of wars. |
format | Online Article Text |
id | pubmed-10641179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106411792023-11-14 Estimating the impact of the outbreak of wars on financial assets: Evidence from Russia-Ukraine conflict() Wang, Zhengzhong Liu, Shuihan Wei, Yunjie Wang, Shouyang Heliyon Research Article This study analyzes the performance of the Shanghai Composite Index, S&P 500 index, WTI oil price, and LBMA gold price when wars took place, especially the Russia-Ukraine conflict. We employ empirical methods to explore the stability, instantaneous shock, and short-term shock regarding the abovementioned financial assets. We first adopt the event study method to ascertain whether the cumulative abnormal returns of the selected assets are significant when wars break out. Then, we use the permutation test to examine the significance of price level changes. Results show that only the Shanghai Composite Index is relatively stable. Second, the difference-in-differences model indicates that the 3 unstable assets all suffered positive shocks in their price levels within several days after the Russia-Ukraine conflict broke out. The parallel trend test confirms the validity of establishing the difference-in-differences model. Third, regression discontinuity is designed to measure the impact in a longer event window, suggesting the robustness of conclusions of the difference-in-differences model and revealing an upward trend before the conflict and a downward trend after the conflict of the financial assets. The study suggests that investors consider adjustments to investment strategies and governments take precautions to diminish the risk of the outbreak of wars. Elsevier 2023-10-21 /pmc/articles/PMC10641179/ /pubmed/37964850 http://dx.doi.org/10.1016/j.heliyon.2023.e21380 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Wang, Zhengzhong Liu, Shuihan Wei, Yunjie Wang, Shouyang Estimating the impact of the outbreak of wars on financial assets: Evidence from Russia-Ukraine conflict() |
title | Estimating the impact of the outbreak of wars on financial assets: Evidence from Russia-Ukraine conflict() |
title_full | Estimating the impact of the outbreak of wars on financial assets: Evidence from Russia-Ukraine conflict() |
title_fullStr | Estimating the impact of the outbreak of wars on financial assets: Evidence from Russia-Ukraine conflict() |
title_full_unstemmed | Estimating the impact of the outbreak of wars on financial assets: Evidence from Russia-Ukraine conflict() |
title_short | Estimating the impact of the outbreak of wars on financial assets: Evidence from Russia-Ukraine conflict() |
title_sort | estimating the impact of the outbreak of wars on financial assets: evidence from russia-ukraine conflict() |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641179/ https://www.ncbi.nlm.nih.gov/pubmed/37964850 http://dx.doi.org/10.1016/j.heliyon.2023.e21380 |
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