Eleftheriou, Konstantinos and Patsoulis, Patroklos (2020): COVID-19 Lockdown Intensity and Stock Market Returns: A Spatial Econometrics Approach.
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Abstract
We investigate the impact of governments’ social distancing measures against the novel coronavirus disease 2019 (COVID-19) on 45 major stock market indices. We find evidence of negative direct and indirect (spillover) effects for the initial period of containment measures (lockdown).
Item Type: | MPRA Paper |
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Original Title: | COVID-19 Lockdown Intensity and Stock Market Returns: A Spatial Econometrics Approach |
Language: | English |
Keywords: | COVID-19; government policy responses; spillover effects; stock market volatility |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy ; Regulation ; Public Health |
Item ID: | 102321 |
Depositing User: | Konstantinos Eleftheriou |
Date Deposited: | 10 Aug 2020 07:51 |
Last Modified: | 10 Aug 2020 07:51 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/102321 |
Available Versions of this Item
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COVID-19 Lockdown Intensity and Stock Market Returns: A Spatial Econometrics Approach. (deposited 26 May 2020 15:24)
- COVID-19 Lockdown Intensity and Stock Market Returns: A Spatial Econometrics Approach. (deposited 10 Aug 2020 07:51) [Currently Displayed]
- COVID-19 Lockdown Intensity and Stock Market Returns: A Spatial Econometrics Approach. (deposited 27 May 2020 06:14)