This study uses the Google machine learning platform to measure news sentiment and examine how the sentiment of firm-specific released news relates to the risk level of publicly listed Chinese firms. Our results show that positive (negative) sentiment leads to a lower (higher) risk-taking level. In addition, after exploring the explanations for risk-taking differentials in response to released news, we find that female CEOs are an important mechanism linking news sentiment to firm risk. Intuitively, our results imply that female CEOs are more risk-averse than their male counterparts. Our main findings remain valid after performing several robustness tests.
机构:
Alexandru Ioan Cuza Univ, Fac Econ & Business Adm, Iasi, Romania
Alexandru Ioan Cuza Univ, Res Ctr Finance, Iasi, RomaniaAlexandru Ioan Cuza Univ, Fac Econ & Business Adm, Iasi, Romania
Andries, Alin Marius
Capraru, Bogdan
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机构:
Alexandru Ioan Cuza Univ, Fac Econ & Business Adm, Iasi, RomaniaAlexandru Ioan Cuza Univ, Fac Econ & Business Adm, Iasi, Romania
Capraru, Bogdan
Nistor, Simona
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机构:
Babes Bolyai Univ Cluj Napoca, Fac Econ & Business Adm, Cluj Napoca, RomaniaAlexandru Ioan Cuza Univ, Fac Econ & Business Adm, Iasi, Romania
机构:
Purdue Univ, Krannert Sch Management, 403 W State St, W Lafayette, IN 47907 USAPurdue Univ, Krannert Sch Management, 403 W State St, W Lafayette, IN 47907 USA
Faccio, Mara
Marchica, Maria-Teresa
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Univ Manchester, Alliance Manchester Business Sch, Crawford House,Booth St East, Manchester M13 9PL, Lancs, EnglandPurdue Univ, Krannert Sch Management, 403 W State St, W Lafayette, IN 47907 USA