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      Trust and stock market volatility during the COVID-19 crisis

      , , ,
      Finance Research Letters
      Elsevier BV

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          Abstract

          We investigate if trust affects global stock market volatility during the COVID-19 pandemic. Using a sample of 47 national stock markets, we find the stock markets’ volatility to be significantly lower in high-trust countries (in reaction to COVID-19 case announcements). Both trust in fellow citizens as well as in the countries’ governments are of significant importance.

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          Financial markets under the global pandemic of COVID-19

          Highlights • The COVID-19 pandemic has significant impacts on global financial markets. • Substantial increases of volatility are found in global markets due to the outbreak. • Global stock markets linkages display clear different patterns before and after the pandemic announcement. • Policy responses may create further uncertainties in the global financial markets.
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            Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns

            This study investigates whether contagious infectious diseases affect stock market outcomes. As a natural experiment, we use panel data regression analysis to measure the effect of the COVID-19 virus, which is a contagious infectious disease, on the Chinese stock market. The findings indicate that both the daily growth in total confirmed cases and in total cases of death caused by COVID-19 have significant negative effects on stock returns across all companies.
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              Does Social Capital Have an Economic Payoff? A Cross-Country Investigation

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                Author and article information

                Contributors
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                Journal
                Finance Research Letters
                Finance Research Letters
                Elsevier BV
                15446123
                January 2021
                January 2021
                : 38
                : 101873
                Article
                10.1016/j.frl.2020.101873
                cb408085-1323-4af3-b29d-d1776b121eed
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

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