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Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion
Research in International Business and Finance, Volume: 67, Start page: 102146
Swansea University Author: Mohammad Abedin
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DOI (Published version): 10.1016/j.ribaf.2023.102146
Abstract
This paper investigates the connectedness of Artificial intelligence stocks with agri-commodity stocks during COVID-19 and Russia-Ukraine invasion. To measure the Artificial intelligence stocks, we consider Microsoft, Google, Amazon, Meta and NVIDA while US wheat, US corn, US soyabean, US oats and U...
Published in: | Research in International Business and Finance |
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ISSN: | 0275-5319 1878-3384 |
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Elsevier BV
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa64915 |
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v2 64915 2023-11-03 Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion 4ed8c020eae0c9bec4f5d9495d86d415 Mohammad Abedin Mohammad Abedin true false 2023-11-03 BAF This paper investigates the connectedness of Artificial intelligence stocks with agri-commodity stocks during COVID-19 and Russia-Ukraine invasion. To measure the Artificial intelligence stocks, we consider Microsoft, Google, Amazon, Meta and NVIDA while US wheat, US corn, US soyabean, US oats and US Rice are proxied to represent the agri-commodity stocks. The daily closing price of these stocks is taken from December 31, 2019 to February 23, 2022 (COVID-19) and February 24, 2022 to August 10, 2022 (Russia-Ukraine Invasion). For an empirical estimation, Diebold & Yilmaz (2012) and Barunik & Krehlik (2018) models are employed to investigate the connectedness among these assets class. The result reveals that Microsoft is highest receiver as well as highest contributor of the shocks; US rice and US corn are least receiver and contributor of the shocks respectively during COVID-19 period. Journal Article Research in International Business and Finance 67 102146 Elsevier BV 0275-5319 1878-3384 Artificial intelligence, Agri-commodity, Connectedness, COVID-19, Russia-Ukraine Invasion 31 1 2024 2024-01-31 10.1016/j.ribaf.2023.102146 http://dx.doi.org/10.1016/j.ribaf.2023.102146 COLLEGE NANME Accounting and Finance COLLEGE CODE BAF Swansea University 2023-12-04T14:39:46.4847072 2023-11-03T23:47:31.7236759 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Miklesh Prasad Yadav 1 Mohammad Abedin 2 Neena Sinha 3 Vandana Arya 4 64915__29198__cb2a402a9f1c4c0e8874a87f2498ed72.pdf 64915.VOR.pdf 2023-12-04T14:35:40.0665631 Output 3671170 application/pdf Version of Record true © 2023 The Authors. Published by Elsevier B.V. Distributed under the terms of a Creative Commons Attribution 4.0 International License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/ |
title |
Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion |
spellingShingle |
Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion Mohammad Abedin |
title_short |
Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion |
title_full |
Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion |
title_fullStr |
Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion |
title_full_unstemmed |
Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion |
title_sort |
Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion |
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4ed8c020eae0c9bec4f5d9495d86d415 |
author_id_fullname_str_mv |
4ed8c020eae0c9bec4f5d9495d86d415_***_Mohammad Abedin |
author |
Mohammad Abedin |
author2 |
Miklesh Prasad Yadav Mohammad Abedin Neena Sinha Vandana Arya |
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Journal article |
container_title |
Research in International Business and Finance |
container_volume |
67 |
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102146 |
publishDate |
2024 |
institution |
Swansea University |
issn |
0275-5319 1878-3384 |
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10.1016/j.ribaf.2023.102146 |
publisher |
Elsevier BV |
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Faculty of Humanities and Social Sciences |
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url |
http://dx.doi.org/10.1016/j.ribaf.2023.102146 |
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description |
This paper investigates the connectedness of Artificial intelligence stocks with agri-commodity stocks during COVID-19 and Russia-Ukraine invasion. To measure the Artificial intelligence stocks, we consider Microsoft, Google, Amazon, Meta and NVIDA while US wheat, US corn, US soyabean, US oats and US Rice are proxied to represent the agri-commodity stocks. The daily closing price of these stocks is taken from December 31, 2019 to February 23, 2022 (COVID-19) and February 24, 2022 to August 10, 2022 (Russia-Ukraine Invasion). For an empirical estimation, Diebold & Yilmaz (2012) and Barunik & Krehlik (2018) models are employed to investigate the connectedness among these assets class. The result reveals that Microsoft is highest receiver as well as highest contributor of the shocks; US rice and US corn are least receiver and contributor of the shocks respectively during COVID-19 period. |
published_date |
2024-01-31T14:39:47Z |
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11.036837 |