Executive tweets
We explore the tweeting behavior of S&P 1500 firms’ executives (CEOs and CFOs) and its market consequences during the period of 2011 to 2018. We document that executives tweet financial information related to their firms and time these tweets to firms’ major events, and that investors respond to...
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2021
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sg-smu-ink.soa_research-29382023-01-03T08:06:08Z Executive tweets Richard M.CROWLEY, HUANG, Wenli LU, Hai We explore the tweeting behavior of S&P 1500 firms’ executives (CEOs and CFOs) and its market consequences during the period of 2011 to 2018. We document that executives tweet financial information related to their firms and time these tweets to firms’ major events, and that investors respond to executive tweets in addition to firm tweets. Using the latest machine learning techniques, we develop an innovative construct measuring the content similarity between executive tweets and firm tweets. We use this measure to disentangle whether the market reaction comes from new information or trust. We show evidence consistent with the view that investor reaction is driven by trust, as investors react more to information from executive Twitter accounts that is more content-wise similar to information already posted by firm Twitter accounts. 2021-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soa_research/1911 https://ink.library.smu.edu.sg/context/soa_research/article/2938/viewcontent/SSRN_id3975995.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Accountancy eng Institutional Knowledge at Singapore Management University Social media executives dissemination Twitter executive effort Accounting Social Media |
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Social media executives dissemination executive effort Accounting Social Media Richard M.CROWLEY, HUANG, Wenli LU, Hai Executive tweets |
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We explore the tweeting behavior of S&P 1500 firms’ executives (CEOs and CFOs) and its market consequences during the period of 2011 to 2018. We document that executives tweet financial information related to their firms and time these tweets to firms’ major events, and that investors respond to executive tweets in addition to firm tweets. Using the latest machine learning techniques, we develop an innovative construct measuring the content similarity between executive tweets and firm tweets. We use this measure to disentangle whether the market reaction comes from new information or trust. We show evidence consistent with the view that investor reaction is driven by trust, as investors react more to information from executive Twitter accounts that is more content-wise similar to information already posted by firm Twitter accounts. |
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Richard M.CROWLEY, HUANG, Wenli LU, Hai |
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Richard M.CROWLEY, HUANG, Wenli LU, Hai |
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Executive tweets |
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Executive tweets |
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Executive tweets |
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executive tweets |
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Institutional Knowledge at Singapore Management University |
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2021 |
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https://ink.library.smu.edu.sg/soa_research/1911 https://ink.library.smu.edu.sg/context/soa_research/article/2938/viewcontent/SSRN_id3975995.pdf |
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