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The purpose of this research is to investigate factors that contribute to technology firms paying higher compensation than non-technology firms, and why the mix of compensation at technology firms is different than the compensation packages at non-technology firms. Using a sample of 1,009...
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We use Natural Language Processing to measure supply chain risk (SCR) faced by US firms, as expressed in narratives of quarterly earnings conference calls. We show that exposure to SCR reached unprecedented levels during COVID-19. The effect of COVID-19 on SCR is more pronounced in firms with...
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We investigate ratings quality across uncertain and normal times proxied by variations in economic policy uncertainty. We find that increased policy uncertainty is associated with weaker rating standards. This finding is unrelated to variations in macroeconomic conditions and holds when we use...
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We provide the first international evidence on the impact of economic policy uncertainty (EPU) on dividend policy. Using data from 19 countries, we find that a high level of EPU is positively associated with dividend payout. This evidence is robust to using alternative dividend payout measures,...
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