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Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm
In recent time, the two significant events; Coronavirus epidemic and Russian invasion are effecting all over the world in various aspects; healthily, economically, environmentally, and socially, etc. The first event has brought uncertainties to the economic situation in most countries based on the e...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281207/ https://www.ncbi.nlm.nih.gov/pubmed/35855727 http://dx.doi.org/10.1007/s10614-022-10293-z |
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author | Alsayed, Ahmed R. M. |
author_facet | Alsayed, Ahmed R. M. |
author_sort | Alsayed, Ahmed R. M. |
collection | PubMed |
description | In recent time, the two significant events; Coronavirus epidemic and Russian invasion are effecting all over the world in various aspects; healthily, economically, environmentally, and socially, etc. The first event has brought uncertainties to the economic situation in most countries based on the epidemic transmission. In addition to that, on 24th February 2022 the Russian invasion of Ukraine affected negatively almost all stock markets all over the world, but the effects are heterogeneous across countries according to their economic-political relationship or neighbourhood, etc. Due to that, the stock market price in Turkey has been affected dramatically over that period. This empirical study is the first attempts to explore the impact of Coronavirus epidemic and Russian invasion on the stock market index XU100 in Turkey by applying the developed statistical method namely elastic-net regression based on empirical mode decomposition which can precisely tackle the nonstationary and nonlinearity data. Then we performed the robustness check by applying a nonlinear techniques Markov switching regression. The data are collected from the beginning of the epidemic in Turkey from March 11, 2020 until May 31, 2022. The finding reveals that there is significant effect of the Coronavirus spreading on the Turkish stock market index, particularly during the first wave. Then after the Russian Invasion the XU100 index is effected more negatively. As the credit default swap and TL reference interest rate have a negative impact but the foreigner exchange rate has a positive significant impact on the XU100 index, and it varies according to the period of short term and long term. Moreover, the results obtained by using the robustness check shows a robust and consistent finding. In conclusion, understanding the impact of Coronavirus pandemic and Russian invasion on the Turkish stock market can provide important implications for investors, financial sectors, and policymakers. |
format | Online Article Text |
id | pubmed-9281207 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-92812072022-07-14 Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm Alsayed, Ahmed R. M. Comput Econ Article In recent time, the two significant events; Coronavirus epidemic and Russian invasion are effecting all over the world in various aspects; healthily, economically, environmentally, and socially, etc. The first event has brought uncertainties to the economic situation in most countries based on the epidemic transmission. In addition to that, on 24th February 2022 the Russian invasion of Ukraine affected negatively almost all stock markets all over the world, but the effects are heterogeneous across countries according to their economic-political relationship or neighbourhood, etc. Due to that, the stock market price in Turkey has been affected dramatically over that period. This empirical study is the first attempts to explore the impact of Coronavirus epidemic and Russian invasion on the stock market index XU100 in Turkey by applying the developed statistical method namely elastic-net regression based on empirical mode decomposition which can precisely tackle the nonstationary and nonlinearity data. Then we performed the robustness check by applying a nonlinear techniques Markov switching regression. The data are collected from the beginning of the epidemic in Turkey from March 11, 2020 until May 31, 2022. The finding reveals that there is significant effect of the Coronavirus spreading on the Turkish stock market index, particularly during the first wave. Then after the Russian Invasion the XU100 index is effected more negatively. As the credit default swap and TL reference interest rate have a negative impact but the foreigner exchange rate has a positive significant impact on the XU100 index, and it varies according to the period of short term and long term. Moreover, the results obtained by using the robustness check shows a robust and consistent finding. In conclusion, understanding the impact of Coronavirus pandemic and Russian invasion on the Turkish stock market can provide important implications for investors, financial sectors, and policymakers. Springer US 2022-07-14 /pmc/articles/PMC9281207/ /pubmed/35855727 http://dx.doi.org/10.1007/s10614-022-10293-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Alsayed, Ahmed R. M. Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm |
title | Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm |
title_full | Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm |
title_fullStr | Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm |
title_full_unstemmed | Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm |
title_short | Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm |
title_sort | turkish stock market from pandemic to russian invasion, evidence from developed machine learning algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281207/ https://www.ncbi.nlm.nih.gov/pubmed/35855727 http://dx.doi.org/10.1007/s10614-022-10293-z |
work_keys_str_mv | AT alsayedahmedrm turkishstockmarketfrompandemictorussianinvasionevidencefromdevelopedmachinelearningalgorithm |