2020
DOI: 10.1080/02692171.2020.1853685
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Is there a shift contagion among stock markets during the COVID-19 crisis? Further insights from TYDL causality test

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Cited by 15 publications
(11 citation statements)
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“…Indeed, results show that, compared to the tranquil period, the COVID-19 crisis period is characterized by a higher total spillover index among regional stock markets (70.4% during the COVID-19 crisis period versus 49% before the crisis period). The results reveal not only an increase in the total spillover among regional stock markets during the COVID-19, but also a change in the magnitude of directional spillovers between the two periods, reflecting shift contagion 7 during the COVID-19 crisis period, which is consistent with the results of Ben Amar, Bélaïd, Ben Youssef, and Guesmi (2020), Ben Amar, Bélaïd, Ben Youssef, Chiao, and Guesmi (2020) and Ben Amar, Hachicha, and Halouani (2020). Before the COVID-19 crisis period, the North American stock market [NAM] seems to have a significant influence on the rest of the regional stock market indices.…”
Section: Spillover Analysissupporting
confidence: 87%
“…Indeed, results show that, compared to the tranquil period, the COVID-19 crisis period is characterized by a higher total spillover index among regional stock markets (70.4% during the COVID-19 crisis period versus 49% before the crisis period). The results reveal not only an increase in the total spillover among regional stock markets during the COVID-19, but also a change in the magnitude of directional spillovers between the two periods, reflecting shift contagion 7 during the COVID-19 crisis period, which is consistent with the results of Ben Amar, Bélaïd, Ben Youssef, and Guesmi (2020), Ben Amar, Bélaïd, Ben Youssef, Chiao, and Guesmi (2020) and Ben Amar, Hachicha, and Halouani (2020). Before the COVID-19 crisis period, the North American stock market [NAM] seems to have a significant influence on the rest of the regional stock market indices.…”
Section: Spillover Analysissupporting
confidence: 87%
“…Stage 4 completes the study's calculation by finding the direction of causalities between Y and X 3-10 (2015-2019 model) and Y and X 1-10 (2020 model). The Toda-Yamamoto causality test [107] is used, as previously practiced in investigating causal linkages between economic parameters and non-economic influences of exogenous factors, including the COVID-19 pandemic, by Belaid et al [108], Erokhin and Gao [62], Ben Amar et al [109], Amiri and Ventelou [110], and Soytas et al [111]. The TY value demonstrates a strong causality link between the variables in case of the significance at 1% level (5%-above average, 10%-average, all other cases-weak).…”
Section: Methodology Frameworkmentioning
confidence: 99%
“…This has caused increase in the transmission of the COVID-19 effects. [113] The European stock markets are causing shift contagion in the stock market linkages around the world. [114] Bad news have more effect than the good news.…”
Section: Table 14 Herding Spill Over and Connectednessmentioning
confidence: 99%