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                <identifier>oai:data.mendeley.com/wy4j552fwc.1</identifier>
                <datestamp>2021-06-02T07:29:07Z</datestamp>
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    <dc:creator id="https://orcid.org/0000-0002-0030-1781">Pandey, Dharen Kumar</dc:creator>
    <dc:title>How do different sectors react to Covid-19? Evidence from the Sectoral Indices of NSE (India) using event study method and GARCH model</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Tha data contains the daily log-returns of fifteen sectoral indices of the National Stock Exchange (India) for the period from 04-01-2019 to 03-05-2021. The abnormal returns from t-290 to t+201. The daily new cases and deaths due to covid-19 as collected from https://www.worldometers.info/coronavirus/ has also been provided from 23-01-2020 to 06-05-2021. The abnormal and cumulative abnormal returns for the event window t-30 to t+30 has been provided. We also provide the alpha and beta estimates along with the summary statistics of daily log returns for the estimation window.</dc:description>
    <dc:subject>Finance</dc:subject>
    <dc:contributor id="https://orcid.org/0000-0001-8231-1213">Kumari, Vineeta</dc:contributor>
    <dc:contributor>Banerjee, Pradipta</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/wy4j552fwc.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/wy4j552fwc.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2021-06-02T07:29:07Z</dc:date>
    <dc:date>2021-11-30T23:59:59Z</dc:date>
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